• Conduct exploratory analyses across large, complex, and disparate datasets • Identify meaningful trends, patterns, anomalies, and opportunities hidden within data • Develop clear, compelling narratives that connect analytical findings to business outcomes • Translate complex analytical results into actionable recommendations for technical and non-technical audiences • Develop and evaluate predictive models, forecasting methodologies, segmentation frameworks, and advanced analytical solutions • Design and execute statistical analyses, hypothesis tests, experiments, and measurement frameworks • Support machine learning initiatives by preparing data, validating outputs, and measuring performance • Build and maintain executive dashboards and self-service analytics solutions within the ATLAS platform • Create intuitive visualizations that simplify complex datasets and support strategic decision-making • Improve reporting frameworks, visualization standards, and analytical methodologies • Extract, transform, and analyze data from APIs, databases, cloud platforms, and third-party systems • Build reproducible analytical workflows using SQL, Python, Git, and modern analytics tools • Contribute to scalable data models and analytical infrastructure • Collaborate directly with clients and internal stakeholders to solve business challenges • Support strategic planning initiatives through quantitative and qualitative research • Serve as a trusted analytical advisor for both internal teams and external partners • Identify opportunities to improve existing processes, methodologies, products, and analytical frameworks • Evaluate emerging technologies, AI tools, and analytical techniques • Help shape the future roadmap of the ATLAS platform

• Support the data collection and analysis efforts involved with overseeing the implementation of a government program with respect to the care and placement of participants in a network of care providers. • Enhance and develop reporting and analytics capabilities. • Support forecast modeling and develop automated reporting solutions and dashboards. • Build briefing products, conduct and deliver analyses. • Coordinate/implement data collection efforts. • Work within federal staff led functional lanes to enhance the collection and analysis of program data. • Update and develop on-site data collection tools and processes to yield statistically reliable and informative data and support field program assessments. • Assist in identifying performance outcomes and indicators. • Identify uniform data points and conduct high-level data interpretation/analysis using a data analytics platform. • Prepare written summaries and presentations that reflect the results of the data analysis and present findings to agency leadership. • Oversee the quality and the production of both routine and ad hoc analytical reports. • Assist in the training of contractor and field staff on the use of data collection and analysis tools. • Support with projects that promote the continual improvement of data analysis. • Compile, analyze, and visualize data using a data visualization platform such as Power BI or Tableau. • Build data repositories/databases and provide ad-hoc data reporting as needed.

Data Analyst Remote - Texas Full time The position is described below. If you want to apply, click the Apply button at the top or bottom of this page. You'll be required to create an account or sign in to an existing one. If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st Shift (United States of America) Please review the following job description: Roles and Responsibilities - Design, deploy and maintain scalable data pipelines and analytics solutions. - Ensure data quality is maintained through data governance process and regular monitoring. - Optimize APIM for interaction with data. - Create dashboards and visual reports for the entire portfolio / individual divisions Requirements - 6+ years with data analysis. SQL should be the primary skillset. - Mandatory experience in underwriting / insurance space. - Preferred: Databricks / not mandatory. General Description of Available Benefits for Eligible Employees of CRC Group: At CRC Group, we're committed to supporting every aspect of teammates' well-being – physical, emotional, financial, social, and professional. Our best-in-class benefits program is designed to care for the whole you, offering a wide range of coverage and support. Eligible full-time teammates enjoy access to medical, dental, vision, life, disability, and AD&D insurance; tax-advantaged savings accounts; and a 401(k) plan with company match. CRC Group also offers generous paid time off programs, including company holidays, vacation and sick days, new parent leave, and more. Eligible positions may also qualify for restricted stock units and/or a deferred compensation plan. CRC Group supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law. CRC Group is a Drug Free Workplace.

• Lead the development and validation of predictive and machine-learning models for business needs • Create and leverage models, inferential statistics, and prescriptive analysis • Recommend solutions based on understanding of the context, connections, and conclusions • Reviews deliverables; proactively coaches others on approach and work product • Make continuous improvements to data procedures, including data efficiency