159 Data Analyst jobs in Houston

About the job Business Data Analyst - Remote

You will be involved in the end-to-end analytics solutions lifecycle, from gathering requirements to ensuring data is optimized for dashboard delivery. As a technical partner and analytics expert, you will work with tableau developers, systems owners, and stakeholders to develop a strong data foundation. Your role is instrumental in maturing our analytic practices to ensure we are delivering scalable solutions while minimizing technical debt.
What you will be doing:

• You will be responsible for many aspects of architecture and technology delivery and provide oversight of data creation, modeling and querying for analytics (e.g., designing data lake model, setting up connections to new data sources, code reviews, mentoring junior talent)
• Developing and driving a strategic technical roadmap, including reducing technical risks/debt, and building the technical foundation for years to come
• Collaborate with stakeholders to understand business needs, goals, and objectives, evaluate datas current state, support development of future state and resolve complex technical challenges around data availability and quality
• Automate data extraction from various sources, develop data flows, and transfer to HIVE schemas leveraging Dataiku
• Serve as a subject matter expertise for Dataiku (ETL) and querying for team, which includes diagnosing issues, sharing best practices, and developing simple/maintainable queries
• Work with the team to ensure quality objectives are met for both functional and non-functional requirements.

• 5+ years experience in data analytics
• 3+ years ETL experience e.g. Alteryx, Informatica, Dataiku (Dataiku preferred)
• 3+ years SQL experience
• Experienced interpreting API documentation and pulling data from REST APIs (making HTTP requests, pulling/parsing JSON strings)
• Need to possess strong understanding of testing concepts related to functional, non-functional, and performance
• Ability to be autonomous, resourceful, and a proactive self-starter, while also remaining process-oriented and a team player
• Strong analytic, problem-solving, and research skills required, and individual must be willing to challenging the norm to drive innovation and drive great technology solutions.
• Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).

• Database Management
• Python
• Tableau or similar visualization tool experience
• Understanding of IT Operations, Portfolio Management, Corporate Accounting
• Predictive Modeling/ Machine Learning

• A clearly defined career framework to help you successfully manage your career
• Leadership development and virtual training opportunities
• PTO/parental leave
• Competitive 401K and employee benefits
• Free financial counseling, health coaching and employee assistance program
• Tuition assistance program
• A leadership team that prioritizes your health and well-being; offering a remote work environment and flexible work hybrid situations
• Effective productivity/technology tools and training.

Job Summary:

We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, processing, and analyzing data to help drive strategic decision-making across the organization. You will work closely with cross-functional teams to uncover insights, identify trends, and deliver data-driven solutions that support business objectives.

Key Responsibilities:
Collect, clean, and analyze large datasets from multiple sources

Develop and maintain dashboards, reports, and visualizations to track KPIs and performance metrics

Identify trends, patterns, and anomalies in data to inform business strategies

Collaborate with departments (e.g., Marketing, Operations, Finance) to understand data needs

Present findings and actionable insights to stakeholders in a clear and concise manner

Build and automate data pipelines and reporting processes where possible

Support A/B testing, forecasting, and predictive modeling projects

Ensure data accuracy, integrity, and security across systems

Qualifications:
Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field

2+ years of experience in data analysis or a similar role

Proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI)

Experience with Python, R, or other statistical programming languages is a plus

Strong analytical thinking and problem-solving skills

Excellent written and verbal communication skills

Ability to work independently and collaboratively in a fast-paced environment

Preferred Skills:
Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)

Knowledge of machine learning or predictive analytics techniques

Familiarity with CRM and ERP systems (e.g., Salesforce, SAP)

Experience in [insert relevant industry, e.g., healthcare, finance, e-commerce]

Company Overview:

Leading with our core values of Quality, Integrity, and Opportunity, MedInsight is one of the healthcare industry's most trusted solutions for healthcare intelligence. Our company purpose is to empower easy, data-driven decision-making on important healthcare questions. Through our products, education, and services, MedInsight is making an impact on healthcare by helping to drive better outcomes for patients while reducing waste. Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for healthcare cost and care management.

MedInsight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions.

Position Summary:

The MedInsight team develops an industry-leading data warehouse and analytics suite for major healthcare companies including insurers, providers, and public entities. We are a tech healthcare data company transforming how the industry understands and consumes healthcare data. We are accelerating and looking for a Healthcare Data Analyst to join our team. This position focuses on healthcare data profiling and analysis tasks that require quantitative reasoning skills, knowledge of tools and technologies used in data analysis, and an interest in the US healthcare industry. This person's primary duty will be to work with our consultants and healthcare analytics team by researching healthcare analytics inquiries, onboarding new data sources and supporting daily operations of the MedInsight business intelligence solution.

Primary Responsibilities:

• Work both independently and in a cross-functional team environment.
• Write complex SQL queries to support analytics needs.
• Develop, maintain, and support processes for data feasibility tests, data quality checks, data validations, and sense-checking of results.
• Monitor data quality, troubleshoot, and resolve data issues to ensure data integrity.
• Develop technical specifications for analyses of healthcare data.
• Support documentation of analysis results and methodologies. Capture, develop, and document data definitions, business rules, and data quality requirements.
• Perform ad hoc analyses of healthcare data using SQL Server, Azure Databricks, and other tools.
• Conduct data analysis to support various analytic solutions.
• Create and produce reports and other deliverables, such as ad hoc requests, dashboards, etc.
• Create accurate work products and meet task and project deadlines.
• Interpret data, analyze results, and provide insights to determine operational impact, trends, and opportunities.
• Investigate client questions and participate in discussions with clients.
• Write code while adhering to programming best practices for code clarity and efficiency.
• Review, research, and summarize data validation artifacts.
• Develop reports and deliverables for management.
• Work independently on assigned tasks, i.e., plan, organize, problem solve and meet established deadlines.
• Manage multiple priorities in a fast-paced environment.
• Prioritize work under time pressure. Follow-through and exceptional attention to detail on all project tasks are essential.
• Identify and define both process and data improvements.
• Communicate seamlessly within the team.
• Enhance knowledge through continuous learning and challenging project assignments.
• Follows Quality Risk Management (QRM) guidelines and MedInsight policies.
• Acts in accordance with MedInsight core values.
  
  

Preferred Skills and Experience:

Candidates must be team players with excellent interpersonal skills. They must also have some experience/ familiarity with data analysis using large data sets. Experience with healthcare datasets is a significant plus.

Education/experience:

• Bachelor's degree in healthcare, business, science, mathematics, economics, informatics, or related field
• Programming Experience: Experience with Microsoft SQL Server, Python, PySpark, Databricks, T-SQL, or other scripting skills.

Skills:

• Experience coding in SQL or similar language
• Strong analytical ability
• Healthcare data knowledge
• Knowledge of business intelligence, data warehousing, and relational databases
• Microsoft Excel
• Effective oral and written communication
• Punctual and reliable
• Team player with positive and energetic attitude

What makes this a great opportunity?

• Join an innovative, high growth company with a solid industry track record
• Bring your expertise and ideas to directly impact and help build the next generation of MedInsight products and solutions
• Enjoy significant visibility in your work and be recognized for your wins
• Work for a company that values your wellbeing and professional growth, offering a flexible work environment, generous benefits package, and investment in the development of your career

Location

This is a remote role. The expected application deadline for this job is August 31, 2025.

Compensation

The overall salary range for this role is $54,900 - $02,120. For candidates residing in:

• Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is 60,390 - 93,610.
• New York City, Newark, San Jose, or San Francisco the salary range is 65,880 - 102,120.
• All other locations the salary range is 54,900 - 85,100.

A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.

Milliman Benefits:

We offer a comprehensive benefits package designed to support employees' health, financial security, and well-being. Benefits include:

• Medical, Dental and Vision - Coverage for employees, dependents, and domestic partners.
• Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges.
• 401(k) Plan - Includes a company matching program and profit-sharing contributions.
• Discretionary Bonus Program - Recognizing employee contributions.
• Flexible Spending Accounts (FSA) - Pre-tax savings for dependent care, transportation, and eligible medical expenses.
• Paid Time Off (PTO) - Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis.
• Holidays - A minimum of 10 paid holidays per year.
• Family Building Benefits - Includes adoption and fertility assistance.
• Paid Parental Leave - Up to 12 weeks of paid leave for employees who meet eligibility criteria.
• Life Insurance & AD&D - 100% of premiums covered by Milliman.
• Short-Term and Long-Term Disability - Fully paid by Milliman.

Equal Opportunity

All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

This position supports the AP Senior Team Lead in the transformation of Invoice Processing, Travel & Expense, and Vendor Master Data while focusing on the delivery of the overall Global Accounts Payable strategy processes and performance outcomes. This individual must identify and monitor common process bottlenecks and create mechanisms for regular process reviews and continuous process improvement to measure our KPI performances. This includes the roll-out of process-related standards, methods, and technologies to govern by the Global Process Owners, governance rules for making change, and providing structure as well as expertise on how to conduct process improvement initiatives. Analyze large volumes of data, create visually engaging dashboards for reporting, interpret results, and provide recommendations for business performance improvements. Define and monitor key performance indicators success, to regularly publish performance reports for executive, business leadership, and customer audiences. Ensure timely and accurate performance reporting for different activities, including KPI reporting, efficiency/productivity reporting, and ad-hoc reporting as needed. Design, implement, test, and validate dashboards, analyses, and reports within various analytical tools. Coordinate and combine all processes for all entities in scope to control backlog and improve KPIs. Collaborate with business and technology stakeholders, process owners, and end users to understand their objectives and requirements to translate them into various data application requirements and use cases. Lead workshops with process improvement and business teams and use various data applications such as Celonis, Power BI, or SQL to identify and qualify opportunities for operational and process improvements. Employ process flows, cycle time, process time, and waste concepts as appropriate. Continuously improve the dashboards and views in line with business requirements, technology development, and methods for data analysis. Act as a key point of contact for management and Global Process Owners to ensure standardization of reporting. Document types of process decisions and potential impact of each decision. Min. Qualifications Bachelor’s degree in Finance or equivalent. Approximately 5-7 years of experience in finance with strong evidence of promoting innovation and efficiency by streamlining and standardizing business processes while leading others in an organization with similar operational scale and geographic footprint. Experience with Internal Controls and SOX/404 requirements. Have a very good understanding of the AP processes and KPIs with experience on the Concur functionality. Experience in analyzing large volumes of data and able to combine data from many different sources. Experience in a global, fast-paced, dynamic, and deadline-driven environment. Deep understanding of the business and finance processes within the Petrochemicals business model, highly desirable. Strong computer and analytical skills with various tools such as Celonis and Power BI. Proficient in MS Office Suite including Word, Excel, Visio, PowerPoint, and Access. Process Management: Knowledge of business process improvement tools and techniques and ability to understand, monitor, update, or enhance existing business or work processes. Process Improvement: Understanding and insight into evaluating current product quality and production methods and ability to maintain focus on the continuous improvement of processes, products, and services. Data Analysis: Knowledge of and ability to utilize data analysis tools to sort through and analyze enterprise data in order to identify factors influencing business performance and to gain greater insight into trends within a business, industry, and customer base. LyondellBasell (NYSE: LYB): As a leader in the global chemical industry, LyondellBasell strives every day to be the safest, best operated, and most valued company in our industry. The company’s products, materials, and technologies are advancing sustainable solutions for food safety, access to clean water, healthcare, and fuel efficiency in more than 100 international markets. LyondellBasell places high priority on diversity, equity, and inclusion and is Advancing Good with an emphasis on our planet, the communities where we operate, and our future workforce. The company takes great pride in its world-class technology and customer focus. LyondellBasell has stepped up its circularity and climate ambitions and actions to address the global challenges of plastic waste and decarbonization. For more information, please visit or follow @LyondellBasell on LinkedIn. Must be at least 18 years of age and must be legally authorized to work in the United States (US) on a permanent basis without visa sponsorship. LyondellBasell does not accept or retain unsolicited résumés or phone calls and/or respond to them or to any third party representing job seekers. LyondellBasell is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, and other protected characteristics. About the company LyondellBasell Industries NV is a Dutch-domiciled multinational chemical company with American and British roots, incorporated in the Netherlands, with US operations headquarters in Houston, Texas, and offices in London, UK. #J-18808-Ljbffr

Direct message the job poster from Addison Group

Summary: This position is responsible for the development and creation of marketing campaign populations for retail direct marketing initiatives to residential and small business customers and prospects. Working closely with Marketing, the position is responsible for understanding the marketing requirements, developing and extracting the target population, and formatting the information for campaign execution.

The Analyst will work with marketing teams (segment, channel, campaign execution) to take list requirements and produce accurate and timely campaign lists per the specifications provided to the DBME team.

Develop campaign populations for targeted marketing campaigns for multiple marketing channels

Collaborate with Segment Marketing to understand and document campaign list requirements as defined by Segment Marketing as well as coordinate with Channel Marketing to ensure delivery and issue resolution of any campaign population issues during delivery and execution

Seek guidance on and get direction for complex solutions to DBME tasks and activities

Interact and coordinate with Marketing Analytics which involves passing data back and forth between the groups

Serve as key contact point to segment marketing and channel marketing

Set coding and development standards for the group to ensure consistency across all campaigns.

Serve as overall quality assurance lead for campaign development work

Having at least 2 years of SAS experience is a must

Have a solid foundation and understanding of Unix AIX operating systems, and a good understanding of Oracle functions and sql tools such as TOAD

Knowledge of the utility and/or deregulated energy industry and/or TX SET protocols is preferred. Good understanding of the Texas utility market.

Hard working, dependable and a team player

Be open to change, work towards process improvement, automating manual tasks and eliminating waste

Additional Knowledge, Skills and Abilities:

Excellent SQL and relational database skills

Outstanding SAS or other statistical and data analysis tool skills

Strong UNIX and Windows environment skills

Data manipulation, preparation, and presentation skills

Microsoft Office proficiency, particularly Excel and Access

Familiarity with marketing campaign concepts and customer segmentation

Experience with campaign management tools preferred

Excellent written and verbal communication skills

Track record of on-time delivery of campaign and project deliverables

Thorough understanding of direct marketing and campaign management concepts

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Services for Renewable Energy

Referrals increase your chances of interviewing at Addison Group by 2x

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Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

• Collect and clean large, complex datasets from various sources, ensuring data accuracy and integrity.
• Perform exploratory data analysis to identify trends, patterns, and correlations.
• Assist in building and maintaining databases and data models.
• Develop and create interactive dashboards and visualizations using tools like Tableau or Power BI.
• Generate insightful reports and presentations to communicate findings to internal teams and clients.
• Collaborate with senior analysts and subject matter experts to understand business requirements and translate them into analytical solutions.
• Support the validation of data and analytical models.
• Learn and apply statistical analysis techniques to solve business problems.
• Stay updated on the latest data analysis tools, techniques, and industry trends.
• Contribute to the continuous improvement of data collection and analysis processes.
• Participate in client meetings and workshops to present data findings and gather feedback.
• Adhere to data governance policies and ensure data security and privacy.

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. Recent graduates (within the last 1-2 years) are encouraged to apply.
• Strong foundational knowledge of statistical concepts and data analysis methodologies.
• Proficiency in at least one data analysis programming language (e.g., Python, R) and SQL.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong attention to detail and accuracy.
• Ability to interpret complex data and communicate findings clearly and concisely, both verbally and in writing.
• Self-motivated, proactive, and eager to learn new technologies and techniques.
• Ability to work effectively in a team-oriented and collaborative environment.
• Basic understanding of database management principles.
• Prior internship experience in data analysis or a related field is a plus.