What Jobs are available for Data Analytics in Austin?
Showing 163 Data Analytics jobs in Austin
Data Science Manager, GenAI, Strategic Analytics - Data Science
Posted 15 days ago
Job Viewed
Job Description
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on Oct 15,, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100-$232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Is this job a match or a miss?
Data Analyst, Data Analytics
Posted 2 days ago
Job Viewed
Job Description
The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.
Data Analytics applies business process knowledge and data analytics to develop, recommend and communicate timely, accurate, relevant and actionable insights to support business decisions and objectives.
As a Data Analyst within our Digital Solutions team, you'll play a key role in transforming data into actionable insights that drive business decisions. You'll work across teams to build scalable analytics solutions, support data governance, and contribute to the modernization of our reporting and analytics platforms.
**What Data Analytics brings to OptiFreight**
OptiFreight, a leader in healthcare logistics, provides tailored solutions, committed experts, and innovative technology to optimize freight management and supply chain operations for healthcare providers. The Digital Solutions team is at the forefront of leveraging technology and data to drive efficiency, reduce costs, and enhance overall customer experience through advanced digital tools and platforms.
**What is expected of you and others at this level**
Independently applies analytical and technical skills to solve moderately complex business problems. Demonstrates sound judgment and attention to detail in data interpretation and solution design. Works cross-functionally to clarify requirements and deliver actionable insights. Communicates findings clearly to technical and non-technical audiences. Begins to identify opportunities for process improvement and automation. Participates in project planning and contributes to business case development.
**Responsibilities**
+ Translate business needs into analytical solutions using SQL, Python, and visualization tools.
+ Perform data exploration, profiling, and cleansing to ensure high-quality insights.
+ Build and maintain dashboards and reporting solutions using Tableau, Looker, or similar tools.
+ Apply descriptive and inferential statistics to identify trends, forecast outcomes, and support decision-making.
+ Collaborate cross-functionally to define requirements and deliver iterative analytics solutions.
+ Document business processes and data flows to support transparency and governance.
+ Contribute to data product development and participate in agile delivery cycles.
+ Support data governance and quality initiatives through adherence to standards and proactive issue identification.
**Qualifications**
+ Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Business Analytics) or equivalent experience.
+ 4-8 years of experience in data analytics or business intelligence preferred.
+ Proficiency in SQL and Python; experience with R is a plus.
+ Experience with cloud-based data platforms (e.g., GCP BigQuery, Databricks, or Snowflake).
+ Strong skills in data visualization tools (e.g., Tableau, Looker, Power BI).
+ Familiarity with statistical methods and hypothesis testing.
+ Knowledge of Alteryx or similar data prep tools preferred.
+ Experience working in agile or iterative development environments.
**Anticipated salary range:** $80,900 - $115,500
**Bonus eligible:** No
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with myFlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 11/15/2025 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
_To read and review this privacy notice click_ here (
Is this job a match or a miss?
Data Analytics Consultant
Posted 1 day ago
Job Viewed
Job Description
**Anywhere**
**Type:** Contract
**Category:** Data
**Industry:** Life Sciences
**Workplace Type:** Remote
**Reference ID:** JN -
**Date Posted:** 10/16/2025
**Shortcut:** Description
+ Recommended Jobs
**Description:**
***100% Remote | EST work hours***
Our Pharmaceutical Client is seeking a highly analytical and business-savvy Data Analytics Consultant to join our team. This role is focused on bridging the gap between data and business strategy by working closely with stakeholders to understand key performance indicators (KPIs), map them to data pipelines, and deliver actionable insights.
The ideal candidate will have a strong background in business analytics, hands-on experience with SQL and Tableau, and a solid understanding of pharmaceutical data. You'll play a critical role in translating business needs into data-driven solutions and communicating findings effectively across teams.
_Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance._
Pay: $80 - $5/hr W2
**Responsibilities:**
+ Engage with stakeholders to understand business goals and define KPIs.
+ Map KPIs to existing data pipelines and ensure accurate data sourcing.
+ Develop and optimize SQL queries to extract and analyze relevant data.
+ Create and maintain dashboards and visualizations using Tableau.
+ Translate complex data insights into clear, actionable recommendations for business teams.
+ Collaborate with data engineering and business units to ensure data integrity and usability.
+ Support ad hoc analysis and reporting needs across the organization.
**Experience Requirements:**
+ 5-7 years of experience in business analytics or data consulting roles.
+ 2-3 years of experience working with pharmaceutical data or within the pharma industry.
+ Strong proficiency in SQL for data extraction and transformation.
+ Hands-on experience with Tableau for data visualization and dashboarding.
+ Excellent communication skills with the ability to present data insights to non-technical stakeholders.
+ Strong problem-solving skills and attention to detail.
Preferred Qualifications:
+ Experience with data pipeline architecture and integration.
+ Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP).
+ Understanding of data governance and compliance in regulated industries
**Education Requirements:**
+ Bachelor's Degree
_Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._
_W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality._
_Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact
_About Eliassen Group:_
_Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate._
_Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status._
_Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a 1,000 referral check!_
Is this job a match or a miss?
Data Science Manager, Analytics
Posted 8 days ago
Job Viewed
Job Description
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a world-class team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager, Analytics Responsibilities:
1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
3. Influence product direction through clear and compelling presentations to leadership
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree must be completed prior to joining Meta
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Experience initiating and completing analytical projects with minimal guidance
12. Experience communicating results of analysis to senior leadership
**Preferred Qualifications:**
Preferred Qualifications:
13. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
14. Experience working in technology, consulting, or finance.
15. Proven track record of leading high-performing analytics teams.
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Is this job a match or a miss?
Supervisor, Reporting & Data Analytics
Posted 15 days ago
Job Viewed
Job Description
ERCOT is committed to fostering inclusion at all levels of our company. It is the cornerstone of our corporate values of accountability, leadership, innovation, trust, and expertise. We know that individuals with a wide variety of talents, ideas, and experiences propel the innovation that drives our success. An inclusive and diverse workforce strengthens us and allows for a collaborative environment to solve the challenges that face our industry today and in the future.
The Supervisor, RA Reporting & Data Analytics, manages a team of planning engineers and/or analysts to produce high-quality statistical reports, data request responses, and visualization products for both internal and external stakeholders. The Supervisor also oversees predictive analytics and data management projects, in coordination with the Resource Adequacy Department's modeling team, to support the evaluation of resource capacity/energy adequacy trends and risks.
JOB DUTIES
+ Schedules work for direct reports and oversees daily operations of the RA Reporting & Data Analytics team.
+ Oversees the preparation and review of report and visualization products.
+ Helps the Resource Adequacy Department Director and modeling team supervisor manage reliability and energy assurance assessments required for the Texas Public Utility Commission, North American Reliability Corporation (NERC), and ERCOT reliability resource contracting.
+ Manage and assist in the development of forecasting models using statistical and AI/Machine Learning technologies.
+ Serves as the data/graphics support request gatekeeper and primary liaison with the ERCOT Communications Department and other departments on data requests.
+ Oversees quality control and QC improvement initiatives (including automated QC tool development).
+ Ensures work product documentation is well-organized, complete, accurate and stored according to established practices; serves as the Department's Information Governance coordinator.
+ Oversees data submission activities for NERC, FERC and other external stakeholders.
+ Serves as an ERCOT liaison for the NERC Reliability Assessment Subcommittee (RAS) and Texas Reliability Entity on data reporting coordination; attends NERC RAS meetings.
+ Works with various ERCOT subcommittees, working groups, and task forces.
+ Assists the Director in providing leadership and strategic planning support for the Department.
+ Performs other duties as assigned.
REQUIRED EXPERIENCE
+ Minimum 5 years job-related work experience and 1 year in a leadership role preferred in excess of degree requirements. Minimum years of job-related experience can include time in leadership roles.
PREFERRED EXPERIENCE
+ Experience in supporting grid reliability, resource adequacy or planning studies preferred.
+ Proficiency in the following analytics tools and programming languages preferred:
+ Python, R, Matlab, or other programming environments used for data analysis, modeling and visualization
+ Advanced MS Excel capabilities (pivot tables, data analysis tools, data validation, macros, etc.)
+ Visualization or Business Intelligence tools such as MS Power BI or Cognos
+ SQL Queries
EDUCATION
+ Bachelor's Degree: Engineering, Data Science, Information Management, Economics, Statistics, Mathematics, or related discipline. (Required)
+ Master's Degree: Data Science, Information Management, Economics, Statistics, Mathematics, or related discipline. (Preferred)
+ Or a combination of education and experience that provides equivalent knowledge to a major in such fields is required
CERTIFICATION
+ Data Analytics (Preferred)
WORK LOCATION - Taylor, TX:
+ Employees will be required to be on-site in Taylor, TX at a minimum of 2 days per week, or more, as needed based on the business needs as determined by management
+ On-site schedules are flexible or may be rotated based on business needs as determined by the Manager
+ Remote work is required to be performed from your Texas residence.
+ Employees may opt to work on-site more than required or 100% of the time
The foregoing description reflects the minimum qualifications and the essential functions of the position that must be performed proficiently with or without reasonable accommodation for individuals with disabilities. It is not an exhaustive list of the duties expected to be performed, and management may, at its discretion, revise or require that other or different tasks be performed as assigned. This job description is not intended to create a contract of employment with ERCOT. Both ERCOT and the employee may exercise their employment-at-will rights at any time. #LI-MH1, #LI-Hybrid
ERCOT is firmly committed to equal employment for all qualified persons without regard to race, sex, medical condition, religion, age, creed, national origin, citizenship status, marital status, sexual orientation, physical or mental disability, ancestry, veteran status, genetic information or any other protected category under federal, state or local law.
Expected Salary Range:
$107,494 - $182,737
Is this job a match or a miss?
Lead Data Scientist GenAI, Strategic Analytics - Data Science
Posted today
Job Viewed
Job Description
The Team
Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth.
GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives.
Recruiting for this role ends on December 1, 2025
Work You'll Do
Client Engagement & Solution Scoping
+ Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases.
+ Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents).
+ Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation.
+ Solution Architecture & Design
+ Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.).
+ Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms).
+ Define and govern reliable, ethical, and compliant data sourcing and management.
Development & Customization
+ Lead model fine-tuning, prompt engineering, and customization for client-specific needs.
+ Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience.
+ Drive thorough validation, testing, and iteration to ensure quality and accuracy.
Implementation, Deployment & Change Management
+ Manage solution rollout, including cloud setup, configuration, and production deployment.
+ Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users.
Risk, Ethics & Compliance
+ Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes.
+ Monitor performance, implement KPIs, and manage model retraining and auditing processes.
Stakeholder Communication
+ Prepare executive-level reports, dashboards, and demos to summarize progress and impact.
+ Coordinate across internal teams, tech partners, and clients for effective project delivery.
Continuous Improvement & Thought Leadership
+ Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams.
+ Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies.
Qualifications
Required:
+ Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field.
+ 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI.
+ Independent thinker who can create the vision and execute on transforming data into high end client products.
+ Demonstrated accomplishments in the following areas:
+ Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering).
+ Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP).
+ Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows.
+ Knowledge of solution architecture, risk assessment, and mapping technology to business goals.
+ Familiarity with agile methodologies and iterative delivery.
+ Commitment to responsible AI, including data ethics, privacy, and regulatory compliance.
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Limited immigration sponsorship may be available.
Preferred:
+ Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials.
+ Experience with data visualization tools such as Tableau
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation
qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Is this job a match or a miss?
IT Data Analytics Intern (REMOTE)
Posted 4 days ago
Job Viewed
Job Description
**Job Summary**
The Molina Healthcare Internship Program shares an objective to create a steppingstone for students who aim to be professionals and future leaders in the healthcare business profession. Interns are assigned special projects and various other duties that are intended to provide them with valuable professional work experience and industry insight. The purpose of an internship is to develop talent by providing students with experiential learning, formal training and opportunities to interact with healthcare professionals and community leaders. Interns will perform meaningful work alongside talented professionals, gaining insight to Molina's culture, Mission and Values.
**KNOWLEDGE, SKILLS & ABILITIES**
**Data Analytics**
·Developing reports for the EIM-data analytics team, writing SQL, and working with internal databases
·Areas of exposure may include:
oMath/Actuarial Science
oEconomics/Finance
oData Analysis / Science
oComputer science
oProgrammer Analysis
oBusiness Information Systems
oOther data intensive areas
oPower BI
**Preferred Experience**
-Must possess clear and professional written, verbal and interpersonal communication skills.
-Strong work ethic, self-motivated and ability to develop relationships.
-Good time management, organizational and interpersonal skills required
-Computer experience including MS Word, Excel, Outlook and PowerPoint and experience with internet research.
-Excellent critical thinking/problem solving skills
-Ability to handle confidential information
-Ability to maintain confidentiality and to comply with Health Insurance Portability and Accountability Act (HIPAA)
**REQUIRED EDUCATION:**
+ Must be currently enrolled in an undergraduate or graduate program
+ Should be a freshman sophomore or junior
+ Minimum GPA of 3.0 or higher
+ Pursuing a degree in - Data Science, Data Analysis or Programming Related
+ Must have unrestricted authorization to work in the United States
+ Able to commit to the full-time, 10-week internship program from June 1st - August 7, 2026.
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $21.16 - $21.66 / HOURLY
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
Is this job a match or a miss?
Be The First To Know
About the latest Data analytics Jobs in Austin !
Cloud Data & Analytics Manager (Insurance)
Posted 13 days ago
Job Viewed
Job Description
**Industry/Sector:** Insurance
**Time Type:** Full time
**Travel Requirements:** Up to 80%
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
+ Develop new skills outside of comfort zone.
+ Act to resolve issues which prevent the team working effectively.
+ Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
+ Analyse complex ideas or proposals and build a range of meaningful recommendations.
+ Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
+ Address sub-standard work or work that does not meet firm's/client's expectations.
+ Use data and insights to inform conclusions and support decision-making.
+ Develop a point of view on key global trends, and how they impact clients.
+ Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
+ Simplify complex messages, highlighting and summarising key points.
+ Uphold the firm's code of ethics and business conduct.
**Job Requirements and Preferences** :
**Basic Qualifications** :
**Minimum Degree Required** :
Bachelor Degree
**Minimum Years of Experience** :
7 year(s)
**Preferred Qualifications** :
**Certification(s) Preferred** :
Certification in one of the following cloud platforms - AWS/Azure/GCP/Snowflake
**Preferred Knowledge/Skills** :
Demonstrates extensive abilities and/or success in one or more of the following areas:
+ Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP;
+ Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform);
+ Possessing extensive knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas);
+ Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse;
+ Possessing proven knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark;
+ Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process;
+ Having end-to-end knowledge of implementing enterprise data solutions such as Master Data Management, Data Governance and Enterprise Data Warehouse;
+ Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML;
+ Understanding and familiarity of one or more is a big plus - CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); and,
+ Possessing P&C Insurance industry experience, including proven understanding of insurance data, underlying KPIs and how they are used.
Demonstrates extensive abilities with, and/or a proven record of success directing efforts in the following areas:
+ Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects;
+ Managing and streamlining data warehouse team and lead in creation of cloud data warehouse plans, roadmap, success metrics, and assessment of client's enterprise (on-premise and on-cloud) data systems;
+ Working closely with business stakeholders to capture and document business; objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures;
+ Coordinating and providing guidance to technology teams and architects to define and develop technology solutions;
+ Demonstrating critical thinking and problem-solving methods and skills;
+ Supervising teams to create an atmosphere of trust;
+ Seeking diverse views to encourage improvement and innovation;
+ Coaching staff including timely meaningful written and verbal feedback;
+ Building, maintaining and utilizing networks of client relationships and community involvement;
+ Using appropriate facilitation techniques to gain agreement or move others to action;
+ Managing resource requirements, project workflow, budgets, billing and collections; and,
+ Preparing and/or coordinating complex written and verbal materials.
Learn more about how we work: does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:
Is this job a match or a miss?
Environmental Data Analytics Discipline Leader
Posted 5 days ago
Job Viewed
Job Description
**Requisition ID:**
42576BR
**Business Unit:**
TSU
**Job Description:**
We are currently seeking an Environmental Data Analytics Discipline Leader who will play a crucial role in leveraging data analytics to enhance our firm's capabilities in environmental services. This position involves working across multiple technical practice areas at the firm, working with CDM Smith's digital teams, and also involves supporting marketing and business development initiatives related to environmental data analytics. This discipline leader will collaborate with other discipline leaders, subject matter experts (SMEs), the company's digital teams, and the larger environmental data analytics group within the firm to gather ideas and assess needs for the environmental data analytics discipline area. They coordinate efforts with multi-disciplinary teams of engineers, scientists, designers, draftsmen, technicians, and digital experts at the company to provide a variety of environmental services for clients. Additionally, the leader is responsible for developing processes to evaluate ideas and initiatives for potential innovation investment at the firm, aimed at developing analytics tools and technologies.
The Data Analytics Discipline Leader also helps with managing intellectual property (IP) and research and development (R&D) investments by reviewing current environmental data analytics-related ideas, identifying IP to consider for protection, and prioritizing potential R&D investments. They work to grow a team of environmental data analytics practitioners who have the desire or aptitude to pursue environmental analysis for a variety of client projects at the firm. The leader establishes relationships and processes for providing our environmental data analytics services to the market and ensures that the firm stays ahead of competitors by continuously improving data management and analysis capabilities. This role is essential for navigating the competitive landscape and meeting the growing demands for advanced data analytics solutions in the environmental sector.
As a member of this team, you would contribute to CDM Smith's mission by:
-tAssisting CDM Smith's Digital teams in conducting evaluations of available data analytics technologies and platforms to analyze a wide range of environmental data across various applications (e.g., water quality assessments, remedial investigations, remedial actions, and operations and maintenance of treatment systems).
-tWork with the firm's sales teams and with CDM Smith's digital subsidiary, Trinnex (as applicable), on technical sales, design, and delivery of environmental data analytics solutions tailored for environmental analysis-related needs.
-tCollaborate with local, national, and international technical teams.
-tWork across multiple technical practice areas to leverage environmental data analytics research and the firm's development activities, thereby expanding and enhancing the firm's capabilities in environmental services.
-tSupport marketing and business development initiatives related to environmental data analytics.
-tCollaborate and compile ideas: Engage with discipline leaders, subject matter experts (SMEs), and the environmental data analytics group to gather ideas and assess needs for environmental data analytics innovation and more.
-tCoordinate efforts with multi-disciplinary teams of engineers, scientists, designers, draftsmen, and technicians to deliver effective environmental solutions to CDM Smith's clients.
-tEstablish processes: Develop processes to evaluate ideas and initiatives for potential innovation investment at the firm aimed at developing analytics tools and technologies.
-tManage potential intellectual property (IP) and research and development (R&D) investments: Review current environmental data analytics ideas, identify potential IP for protection, prioritize potential R&D investments, and assist with connecting these to the firm's processes and groups overseeing IP protection, innovation, and digital investment.
-tWork with and grow environmental data analytics practitioners who have the desire or aptitude to provide environmental services for a variety of clients at the firm.
-tNavigate the competitive landscape and help keep CDM Smith at the forefront of the environmental data analytics market in the environmental sector.
-tMarket engagement: Identify conferences, working groups, and other activities to enhance technical visibility and promote our capabilities to clients.
-tTrack business opportunities and clients: Identify and monitor business opportunities and client relationships for environmental data analytics services.
**Job Title:**
Environmental Data Analytics Discipline Leader
**Group:**
ESO
**Employment Type:**
Regular
**Minimum Qualifications:**
Bachelor's degree. 7 years of related experience. Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands. Equivalent additional directly related experience will be considered in lieu of a degree.
**Preferred Qualifications:**
-tEnvironmental Expertise: Bachelor's degree in civil, environmental, chemical engineering, science or related discipline. Professional engineering (PE) license or registration as a Licensed Professional Geologist or professional scientist registration/certification or Master's degree in science or related discipline. Must have extensive understanding of environmental analytics.
-tStatistical Analysis Proficiency: Proficient in the mathematical principals of data analytics and the interpretation of environmental data. Familiarity with Python or R a plus.
-tIP Management: Experience in managing intellectual property.
-tEducational Interest: An interest in teaching and developing education and advancement opportunities for mid- and junior-level staff.
-tDomestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands.
-t10 years of related experience.
**EEO Statement:**
We attract the best people in the industry, supporting their efforts to learn and grow. We strive to create a challenging and progressive work environment. We provide career opportunities that span a variety of disciplines and geographic locations, with projects that our employees plan, design, build and operate as diverse as the needs of our clients. CDM Smith is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, pregnancy related conditions, childbirth and related medical conditions, sexual orientation, gender identity or gender expression), national origin, age, marital status, disability, veteran status, citizenship status, genetic information or any other characteristic protected by applicable law.
**Why CDM Smith?:**
Check out this video and find out why our team loves to work here! ( Us! CDM Smith - where amazing career journeys unfold.**
Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it's a priority that the company takes good care of you and your family.
Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world.
**Job Site Location:**
United States - Nationwide
**Agency Disclaimer:**
All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee.
**Amount of Travel Required:**
20%
**Assignment Category:**
Fulltime-Regular
**Visa Sponsorship Available:**
No - We will not support sponsorship, i.e. H-1B or TN Visas for this position
**Skills and Abilities:**
Strong knowledge of corporate governance practices, organization design principles, accounting principles, finance, supply chain management, and organization management. Excellent written and oral communication skills. Ability to understand highly complex technical, professional and business materials.
**Background Check and Drug Testing Information:**
CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as "CDM Smith") reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing.
**Pay Range Minimum:**
$90,605
**Pay Range Maximum:**
$158,579
**Additional Compensation:**
All bonuses at CDM Smith are discretionary and may or may not apply to this position.
**Work Location Options:**
Hybrid Work Options may be considered for successful candidate.
**Driver's License Requirements:**
An appropriate and valid driver's license is required.
**Massachusetts Applicants:**
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Is this job a match or a miss?
Summer 2026 Data Analytics Graduate Intern
Posted 6 days ago
Job Viewed
Job Description
Highmark Health
**Job Description :**
The Graduate Intern - Data Analytics will work closely with Senior Data Scientists to support Highmark's Fraud, Waste, and Abuse identification efforts. Daily responsibilities will involve the in-depth analysis of complex healthcare claims data utilizing advanced analytical techniques to detect anomalous provider billing patterns.
**SUMMARY OF JOB RESPONSIBILITIES**
This job has the goal of providing the opportunity to acquire practical experience through direct exposure to the related business line(s) and to develop the next generation of diverse business professionals. To that end, the program will provide hands-on training and experience in the business line, expose the various career opportunities in the business line and related areas, and prepare participants for positions in the business.
- Collaborate with senior team members on Fraud, Waste, and Abuse identification initiatives to develop and execute analytical strategies.
- Develop and optimize SQL queries to extract data from healthcare claims databases.
- Analyze large datasets of healthcare claims to identify patterns, trends, and anomalies indicative of potential fraud, waste, or abuse.
- Utilize statistical methods, data mining techniques, and machine learning algorithms to detect suspicious provider billing behaviors.
- Assist in the development and refinement of analytical models to improve the efficiency and accuracy of fraud detection efforts.
- Prepare and present findings, insights, and recommendations to team members and other relevant stakeholders.
**REQUIRED QUALIFICATIONS**
+ Bachelor's degree.
+ Pursuance of a graduate degree full or part-time in an accredited college or university.
**PREFERRED QUALIFICATIONS**
+ Experience analyzing large datasets
**ESSENTIAL JOB FUNCTIONS**
1. Communicate effectively. This position displays effective communication skills while interacting directly with colleagues, clientele, and/or other internal or external constituencies in the planning of assignments and the resolution of day-to-day operational problems.
2. Under supervision, provide professional services as appropriate to the day-to-day operating objectives of the area. Receives guidance, training, and mentoring from senior personnel in planning and carrying out activities and assignments.
3. Undertake and/or participate in projects and programs designed to develop professional skills and expertise appropriate to the needs of the organization.
4. Participate in the planning and implementation of unit projects and initiatives within area of expertise and ability.
5. As specifically requested by management, conducts research and reporting inclusive of recommendations or alternative proposals for action.
6. Undertake related studies or enrichment programs as appropriate to the specific objectives of the operating unit.
7. Perform miscellaneous job-related duties as assigned.
**_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._
**_Compliance Requirement:_** _This position adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies_
As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.
**Pay Range Minimum:**
**Pay Range Maximum:**
_Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.
For accommodation requests, please contact HR Services Online at
California Consumer Privacy Act Employees, Contractors, and Applicants Notice
Req ID: J
Is this job a match or a miss?