112 Analytics jobs in Los Angeles

**About the Role & Team:**
As a Compensation & Analytics Manager at Disney, you will play a pivotal role in shaping the company's compensation strategies to align with its business objectives. This position demands a subject matter expert who can lead functional teams or projects, solve complex problems, and identify innovative solutions. Your expertise in negotiating and explaining complex concepts will be crucial in ensuring that compensation packages are competitive and aligned with market trends. Additionally, you will leverage business intelligence tools and techniques to analyze compensation data, create standardized templates and tools, and develop predictive models to project compensation costs. This role requires strong analytical skills, exceptional communication abilities, and a collaborative mindset to succeed.
**What You Will Do:**
+ Conduct analysis utilizing various data sources and create standardized templates using Access, Tableau or BI tools to streamline the compensation reporting process. Identifying trends and making informed decisions related to compensation.
+ Focus on building a framework for compensation analytics and recruitment results for the team to access the necessary reporting tools and resources to understand market dynamics and shifts.
+ Ensure that data from multiple sources is accurately integrated and managed to support compensation analysis and reporting.
+ Combine data from various survey data and internal systems data to create comprehensive reports and dashboards that provide insights into compensation trends and metrics.
+ Develop models to forecast compensation costs and identify potential financial impacts to proactively manage compensation strategies.
+ Consult with leaders and HR Business Partners to ensure compensation programs are aligned with market and business conditions.
+ Actively seek market intelligence and industry-specific data to inform compensation trends and recommend solutions.
+ Create and maintain global job families, structures, and hiring ranges, evaluating changes based on business needs.
+ Provide guidance to HR business partners, recruiters, and managers regarding compensation recommendations, philosophy and program application.
**Required Qualifications & Skills:**
+ At least 5 years of experience in compensation consulting, data analytics, HR Analytics and/or in related disciplines
+ Expertise in Microsoft Excel, Access, Tableau, Workday and Cognos
+ Exceptional analytical and quantitative skills with a commitment to accuracy
+ Proven consulting skills and ability to negotiate with varying audiences
+ Business-oriented mindset and enjoys working in a fast-paced environment
+ Ability to understand and relate to multiple stakeholders from various disciplines (e.g., technology, finance, legal, operations)
+ Proven experience with Business Intelligence tools like Tableau Server and Business Objects
+ Good communication, negotiation, and team collaboration skills
**Preferred Qualifications:**
+ Work experience with a large corporate employer, leading consulting firm, and/or emerging technology roles preferred
+ Direct work experience in a Data Analytics
+ Experience with data-driven projects sourcing from multiple systems
+ Technical experience including data modeling
**Education:**
+ Bachelor's degree required, Human Resources, Finance, Accounting, or Business degree
The hiring range for this position in California is $137,100 to $67,50 per year and in New York is 143,600 to 175,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
**Job ID:**
**Location:** Burbank,California
**Job Posting Company:** ESPN
ESPN Productions, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

**We believe in the power and joy of learning**
At Cengage Group, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose - driving innovation that helps millions of learners improve their lives and achieve their dreams through education.
**Our culture values inclusion, engagement, and discovery**
Our business is driven by our strong culture, and we know that creating an inclusive workplace is absolutely essential to the success of our company and our learners, as well as our individual well-being. We recognize the value of diverse perspectives in everything we do, and strive to ensure employees of all levels and backgrounds feel empowered to voice their ideas and bring their authentic selves to work. We achieve these priorities through programs, benefits, and initiatives that are integrated into the fabric of how we work every day. To learn more, please see .
Cengage is on a mission to make every student a confident learner, and we are looking for a Lead Digital Product Analytics to help achieve that goal.
**What You'll Do Here:**
In this role you will help Cengage set up our world-class product analytics practice. You will work with product and technology teams to assess the needs of our customers, use amplitude and other product analytics tools to tag the end-to-end digital experience, collect the right data, and create metrics and insights from the data. You will work closely with product owners to identify what parts of the digital customer experience need to be changed, set up A/B tests to identify customer response to product changes and measure the business value and customer satisfaction delivered by the digital product.
The ideal candidate is an experienced analytical and process improvement professional, with experience in data-driven decision making and Digital clickstream data, product analytics concepts with ideally some exposure to digital marketing and data science. You will lead a team of analysts and data scientists, collaborating with various partners in global businesses on important analytics and product tasks.
Are you motivated by working to refine analytical capability in established businesses, while bringing standard methodologies and analytical horsepower to more up-and-coming ones? Reporting to the VP, Head of Product Analytics, you will help bring this strategic process thinking and continual improvement to Cengage's global businesses.
**What You'll Need:**
+ Highly analytical, with the ability to think through problems, business processes & metrics.
+ Ability to create, define, and implement a team vision and directive
+ High energy self-starter, comfortable acting as a player-coach
+ Comfortable setting clear expectations and coaching team and peers in process improvement methodologies
+ Ability to work with varied team members and groups (at all levels)
+ Bachelor's or Master's degree or equivalent experience and a shown foundation in statistical and data science (e.g. Machine Learning, Predictive analytics, etc.) concepts
+ 5+ years of analytics experience, including experience working in Marketing Analytics and Data Science
+ Strong communication and interpersonal skills
+ Excellent attention to detail and structured problem-solving skills
+ Skill with analytic tools ranging from relational databases and SQL to Excel, and Python/R
+ Ability to tell a clear story with data and translate to business and customer implications
+ Skilled with creating effective presentations, tailored to different audiences
+ Knowledge of product analytics and digital marketing
**Preferred**
+ Experience with Product analytics tools like Amplitude, Content square, Adobe analytics, etc.
+ Experience working with on Premise and/or Cloud analytics environments like Hadoop, AWS, Snowflake, etc.
+ Experience with data visualization and enablement tools like Tableau, Power BI, etc.
+ Experience in the creation and assessment of A/B tests to support continual optimization.
+ Experience instructing analytical, statistical and data science concepts to others
+ Experience using sampling techniques to monitor and analyze performance
Cengage Group is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of race, national origin, religion, sex, sexual orientation, genetic information, disability, age, veteran status, and any other classification protected by applicable federal, state, provincial or local laws.
Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact us at or at .
**About Cengage** **Group**
Cengage Group, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education.
**Compensation**
At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here ( to learn more about our _Total Rewards Philosophy_ .
The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. Sales roles often incorporate a significant incentive compensation program beyond this base pay range.
$117,100.00 - $152,200.00 USD
**Cengage Group** , a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms.
We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education.
**_Warning: Be aware, there has been an increase of targeted recruitment_** **_scams perpetrated by bad actors falsely providing job offers on behalf Cengage Group to candidates as a means of obtaining personal information. Note that Cengage will always interview candidates via live in-person meetings, phone calls and video calls before an offer would be extended. Also, be sure to check that communication is coming from an @cengage.com email address._**

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.
**Job Description**
At U.S. Bank, we are committed to driving banking forward with a customer-first approach. We empower our clients with data-driven insights and seamless experiences, ensuring they thrive in a rapidly evolving financial landscape. Our Enterprise Insights team is at the heart of this transformation, leveraging cutting-edge analytics, predictive analysis, artificial intelligence, and customer-centric insights and strategies to shape the future of financial services.
**Role Overview**
We have an exciting high visibility opportunity within our Marketing, Analytics & Customer Experience (MACX) organization supporting our **Enterprise Analytics & Insights** team. This leader will provide leadership and oversight for our **Enterprise Analytics and Insights** team.
This leader will lead, strategize, execute, and optimize company efforts, leveraging data and insights to drive enterprise growth and effectively communicate with target audiences; analyze data and insights to evaluate business performance, drive growth, and inform strategic decision-making.
This individual will oversee analysis of customer, product, channel, acquisition and attrition insights to generate actionable plans that support organizational decision making. The leader oversees hands on analytics development, executive reporting, and communications of key trends and insights.
This high-stakes role is centered on fulfilling data analytics needs for executive and C-suite, with direct responsibility and accountability for delivering actionable insights and strategic data analytics support. The individual will be tasked with building analytical capabilities, including developing reports, predictive models, segmentation frameworks, and predictive models. In addition, the leader will oversee a team of analysts that build Executive Insights, Attrition Analysis etc. and help our internal clients understand trends.
This includes key partnerships with multiple business lines and functions such as **Consumer banking, Business banking, Corporate and Institutional banking, & Wealth** to manage data analytic projects.
U.S. Bank is focused on enhancing client service, building new capabilities, and driving efficiency across business units and corporate functions. As such, this individual must bring a desire to lead change on behalf of clients and colleagues alike, and be able to operate in a centralized, highly accountable construct. This individual must strike the right balance between leading change at a swift pace while maintaining a disciplined focus on Executive and the lines of business needs.
**Key Responsibilities**
**Data & Insights**
+ Lead end-to-end analytics across Business Banking, leveraging data insights to improve customer acquisition, retention, and profitability
+ Identify and implement KPIs, dashboards, and performance metrics to drive business decision-making and operational efficiencies
+ Utilize tools like SAS, SQL, Python, R, or other analytical software to analyze and interpret data
+ Apply statistical methods to analyze data and derive meaningful insights
+ Understand business goals and objectives to align insights strategies and outputs with overall business objectives and expected outcomes
+ Analyze and synthesize data to produce predictive insights, supporting business and channel partners to inform business strategies and decision-making
+ Present data and insights in a visually appealing and easily understandable format
+ Identify, evaluate, and acquire relevant data sources and their locations, collaborate with data providers, ensure data quality and security, maintain infrastructure
**Leadership & Collaboration**
+ **Build and lead** a high-performing team of data scientists, analysts, and strategists, fostering innovation and continuous learning.
+ Partner with senior executives and cross-functional teams (Business Line, Marketing, Technology, Product, and Digital) to align data analytics and insights with business objectives.
+ Act as a thought leader, presenting insights to executive leadership and influencing key strategic decisions.
+ Develop strategic plans, define goals, identify target segments, collaborate cross-functionally, monitor trends, allocate resources, review and adjust plans.
+ Identify and address challenges, develop innovative solutions, and drive continuous improvement.
+ Quickly adapt to changing market conditions, technologies, and customer preferences.
+ Administration & general management (e.g. driving transformation, efficiency goals, financial aspects including capital expenditures, billing, contracts, & leadership and talent planning).
**Qualifications & Experience**
+ **12+ years of experience** in data analytics, data science, or a related field, with a proven track record in banking, fintech, or financial services.
+ Master's degree preferred in Data Analytics, Business, Finance, Economics, or other quantitative field.
+ Deep expertise in **data analytics, predictive modeling, power BI and power point presentations** .
+ Experience with **Azure Synapse and Databricks.**
+ Strong knowledge of business banking products, lending, payments, and financial services for small to mid-sized businesses.
+ Proficiency in **SQL, Python, SAS, Power BI, Tableau, or similar analytics tools** .
+ Strategic mindset with exceptional leadership, communication, and stakeholder management skills.
+ Expert/advanced ability to align people and culture with changes in business strategy, structure, technology and business processes.
+ Expert knowledge of and skills related to marketing technology stack and staying updated with technology trends including the ability to understand and familiarity with the concepts, principles, and techniques used in statistics.
+ Expert/advanced ability to effectively plan, execute, and oversee the selection, evaluation, and ongoing management of vendors and agencies.
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants ( .
**Benefits:**
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
+ Healthcare (medical, dental, vision)
+ Basic term and optional term life insurance
+ Short-term and long-term disability
+ Pregnancy disability and parental leave
+ 401(k) and employer-funded retirement plan
+ Paid vacation (from two to five weeks depending on salary grade and tenure)
+ Up to 11 paid holiday opportunities
+ Adoption assistance
+ Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
**E-Verify**
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program ( .
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $149,515.00 - $175,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
**Posting may be closed earlier due to high volume of applicants.**

**_Welcome to Warner Bros. Discovery. the stuff dreams are made of._**
**Who We Are.**
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the _storytellers_ bringing our characters to life, the _creators_ bringing them to your living rooms and the _dreamers_ creating what's next.
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
**Who We Are.**
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next.
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
**The Role**
As a Principal Analytics Engineer, you will serve as a technical and strategic leader driving WBD's enterprise-wide data and analytics strategy. You'll design and govern the semantic data layer, build robust and scalable data products, and enable self-service analytics across domains such as commerce, product, and content.
You will collaborate with senior executives, product leaders, and data teams to ensure data assets are accurate , trustworthy, and aligned with business priorities. This role requires deep technical expertise , business acumen, and the ability to influence at all levels of the organization.
**Meet Our Team:**
The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely , informed decisions, ensuring our continued success in an ever-evolving digital landscape.
**Responsibilities**
+ Define and champion WBD's enterprise data & analytics strategy; create technical roadmaps that balance innovation, scalability, and business needs.
+ Architect and govern data models, semantic layers, and analytic data products to ensure consistency, accuracy, and accessibility across business domains.
+ Partner with executive stakeholders to translate strategic goals into actionable data initiatives, frameworks, and governance policies.
+ Provide technical leadership on large-scale, cross-functional data initiatives; ensure alignment between platform architecture and analytics use cases.
+ Drive the adoption of best practices in data modeling, metadata management, observability, and data quality.
+ Serve as a thought leader, influencing industry practices and representing WBD in external forums, conferences, or publications.
+ Mentor and coach senior engineers, fostering a culture of technical excellence and collaboration.
+ Oversee operational excellence, including system reliability, platform performance, and cloud cost management.
**Qualifications**
+ Bachelor's degree required ; MS/PhD in Computer/Data Science, Engineering, Mathematics, or related field strongly preferred.
+ 12+ years of progressive experience in analytics engineering, data architecture, or advanced analytics leadership.
+ Proven track record designing and governing semantic data layers and data product ecosystems at enterprise scale.
+ Deep expertise in SQL and proficiency in general-purpose programming (Python, Scala, or similar).
+ Strong background with big-data technologies (e.g., Spark, Delta Lake, Kafka, Snowflake, Databricks, or equivalent).
+ Demonstrated success engaging with C-level executives; ability to communicate complex technical concepts in clear, strategic language.
+ Prior experience in Direct-to-Consumer (DTC) based businesses strongly preferred.
+ Advanced experience with BI/visualization tools (e.g., Looker, Tableau, Power BI) and self-service data enablement.
+ Skilled at transforming complex, messy, or incomplete datasets into reliable, consistent models and data products.
+ Familiarity with applied data science and machine learning; ability to guide responsible adoption of AI in production environments.
+ Experience leading large, cross-functional initiatives and influencing without direct authority.
**How We Get Things Done.**
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
**Championing Inclusion at WBD**
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page ( for instructions to submit your request.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $175,700.00 - $326,300.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
If you're a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Posh Peanut is one of the fastest-growing DTC brands in the children's apparel space, loved by millions of families around the world. We specialize in ultra-soft, premium bamboo apparel for babies, kids, and families-known for our bold prints, elevated details, and signature Päpook® fabric. Built from a small LA-based business into a household name, we're driven by creativity, passion, and the mission to make every moment with your little ones feel magical. If you're excited by fast growth, big ideas, and building something extraordinary, we'd love to hear from you!

WHO DO WE WANT

The Head of Data & Analytics will lead the organization’s strategy to unlock the value of dataacross the business. This role blends strategic leadership with hands-on execution to centralize data infrastructure, enable self-service reporting, and deliver actionable insights that drive growth, profitability, and operational efficiency.

You will partner closely with cross-functional leaders—from marketing and operations to finance and eCommerce—to ensure that the right data is accessible, trustworthy, and driving business decisions at every level.

ESSENTIAL FUNCTIONS AND BASIC DUTIES

Strategic Leadership

• Define and implement the company-wide data and analytics strategy.
• Act as a senior advisor to executive leadership on data-informed decisions.
• Prioritize and deliver high-impact analytics initiatives aligned with business goals.
• Champion a culture of experimentation, measurement, and insight-led execution.

Data Infrastructure & Integration

• Oversee the architecture of the modern datastack (e.g., BQ, dbt, Tableau).
• Ensure clean, reliable, and connected datafrom core systems (PLM, PIM, ERP, eComm, marketing, sales).
• Design scalable pipelines and data models that support fast and flexible reporting.
• Improve data freshness, lineage transparency, and overall performance of the stack.

Insights & Reporting

• Lead the development of KPI dashboards and automated reports for business stakeholders.
• Translate complex data into clear, actionable narratives for both executives and teams.
• Enable departmental analytics by building embedded pods or self-service capabilities.
• Provide proactive insights that influence planning, forecasting, and strategy.

Team Leadership

• Build and lead a cross-functional data team, including analysts, engineers, and developers.
• Foster a high-performance, business-first culture of curiosity and collaboration.
• Mentor team members and grow internal capabilities in analytics, modeling, and storytelling.

EXPERIENCE/ REQUIREMENTS

Required

• 7+ years of experience in analytics, data platforms, or business intelligence roles.
• Proven success leading data teams in fast-paced, product-driven organizations.
• Hands-on expertise with cloud dataplatforms and modern BI tools.
• Deep understanding of CPG or retail business models and metrics (e.g., inventory turns, margin, sell-through, CAC, retention).
• Exceptional communication skills with both technical and non-technical audiences.

Bonus

• Experience building data platforms and analytics capabilities from scratch.
• Background in eCommerce or omnichannel environments.
• Familiarity with systems like Fulfil.io, Shopify, Centric PLM, Pimberly, Google Analytics, or Klaviyo.

EEO Statement: Posh Peanut Inc. is an equal opportunity employer, committed to intentional anti-racism in all areas of our organization and will consider qualified applicants with criminal histories in accordance with the L.A. Fair Chance Initiative Ordinance. Our diverse backgrounds, perspectives, identities, and talents help us thrive.

Description & Requirements

Maximus is hiring a Analyst - Data Analytics to support the Indiana Level of Care (IN LCAR) program. The Analyst will work with program and analytics staff, clinical SME's and state clients to pull, analyze and interpret data elements related to operational and client needs.

About the Program

The Indiana Level of Care Assessment and Referral (IN LCAR) program is a statewide initiative focused on evaluating and determining the appropriate level of care for individuals seeking long-term services and support. The program ensures that individuals receive assessments tailored to their needs, facilitates connections to the appropriate resources, and supports efficient transitions between care settings. As part of a collaborative team, professionals in this program play a critical role in improving access to services and promoting quality outcomes for the people of Indiana.

Why Maximus?

- Work/Life Balance Support - Flexibility tailored to your needs!

- • Competitive Compensation -Bonuses based on performance included!

- • Comprehensive Insurance Coverage - Choose from various plans, including Medical, Dental, Vision, Prescription, and partially funded HSA. Additionally, enjoy Life insurance benefits and discounts on Auto, Home, Renter's, and Pet insurance.

- • Future Planning - Prepare for retirement with our 401K Retirement Savings plan and Company Matching.

- •Unlimited Time Off Package - Enjoy UTO, Holidays, and extended sick leave, along with Short and Long Term Disability coverage.

- • Holistic Wellness Support - Access resources for physical, emotional, and financial wellness through our Employee Assistance Program (EAP).

- • Recognition Platform - Acknowledge and appreciate outstanding employee contributions.

- • Tuition Reimbursement - Invest in your ongoing education and development.

- • Employee Perks and Discounts - Additional benefits and discounts exclusively for employees.

- • Maximus Wellness Program and Resources - Access a range of wellness programs and resources tailored to your needs.

- • Professional Development Opportunities-Participate in training programs, workshops, and conferences.

- •Licensures and Certifications-Maximus assumes the expenses associated with renewing licenses and certifications for its employees.

Essential Duties and Responsibilities:

- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.

- Serve as point of contact for data and analytical usage, particularly in the appropriate uses and limitations of statistical and analytical applications.

- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.

- Develop and implement new metrics, functions, and scripts as KPIs and in existing BI/Dashboards as needed.

- Ad hoc tool development to support operational and under served analytical areas.

- Learning emerging technologies and systems of need for company initiatives.

- Activities to support team communication and strategy implementation (meetings, etc.).

- Project management activities.

Minimum Requirements

- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.

- 3 years experience working with operations, preferably in the Government or Healthcare Industry.

- A thorough understanding of analysis of healthcare and social determinant variables, collection and interpretation of data, and inferential analysis required.

Preferred Requirements

- 5 years experience working with operations, preferably in the Government or Healthcare Industry.

Skilled in SQL

- Proficient in SQL

- Proficient in SSRS

- Proficient in Power BI

- Proficient with SAS

Home Office Requirements

- Maximus provides company-issued computer equipment

- Reliable high-speed internet service

- Minimum 20 Mpbs download speeds/50 Mpbs for shared internet connectivity

- Minimum 5 Mpbs upload speeds

- Private and secure workspace

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at .

Minimum Salary

$

75,000.00

Maximum Salary

$

110,000.00

**Summary:**
As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Engineer, Product Analytics Responsibilities:
1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership
5. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
10. Influence product and cross-functional teams to identify data opportunities to drive impact
11. Mentor team members by giving/receiving actionable feedback
**Minimum Qualifications:**
Minimum Qualifications:
12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
13. 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
14. 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
**Preferred Qualifications:**
Preferred Qualifications:
15. Master's or Ph.D degree in a STEM field
**Public Compensation:**
$145,000/year to $204,000/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

**Summary:**
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around 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 use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide 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 your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
**Preferred Qualifications:**
Preferred Qualifications:
10. Master's or Ph.D. Degree in a quantitative field
**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

**Summary:**
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around 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 use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide 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 your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)
9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution (including defining metrics, experiment, design, communicating actionable insights)
**Preferred Qualifications:**
Preferred Qualifications:
10. Master's or Ph.D. Degree in a quantitative field
**Public Compensation:**
$145,000/year to $204,000/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