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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Field Data Analyst-1 - **Company:** Acrisure LLC - **Location:** Walnut Creek, CA, United States - **Salary:** $72,760.0 - $98,440.0 - **Contract:** Permanent contract - **Skills:** Microsoft Access, Microsoft Word, Microsoft Excel, Data Analysis, Databases, Computer Literacy, Data Validation, Data Integrity, Data Mining, Data Systems, Data Visualization, Data Warehousing, Decision Support Systems, Fraud Prevention and Detection, R (Programming Language), Python (Programming Language), Microsoft Office, Microsoft Project, Microsoft Visio, Regression Analysis, Microsoft PowerPoint, Power BI, SAS (Software), SQL Databases, Tableau (Software), Data Processing, Data Analytics, Performance Monitor, Qlikview, Health Level Seven International - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3d65a7c11610d458 ## About the Role To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * Bachelor's degree or equivalent work in a quantitative field such as statistics, mathematics, economics, or a related discipline. A master's degree is a plus. * Proven experience in data analysis, preferably within the health insurance or healthcare industry. * Proficiency in data manipulation and analysis using tools like SQL, Python, R, or SAS. * Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights. * Familiarity with statistical modeling techniques, such as regression analysis, time series analysis, and predictive modeling. * Ability to build presentations utilizing data visualization tools (Tableau, Power BI, QlikView etc.). * Knowledge of health insurance concepts, including claims processing, risk management, and provider reimbursement methodologies. * Understanding of healthcare data standards, coding systems (e.g., ICD-10, CPT), and regulatory frameworks (e.g., ACA, CMS guidelines). * Excellent communication skills to effectively convey technical information to both technical and non-technical stakeholders. * Attention to detail, strong organizational skills, and the ability to handle multiple projects and deadlines simultaneously. Computer Skills: * Demonstrated administrative computing skills, including Microsoft Office (MS Project, Visio, Word, Excel, Access and Power Point) * Experience within various claims systems/data warehouses (Deerwalk, Springbuck, Self Funded Reporting, etc.) is preferred. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * Moderate stress due to regular deadlines and daily challenges * High finger dexterity while typing documents and forms * Occasionally lift up to 20lbs ## Description As a Field Data Analyst, you will be focused on collecting, analyzing, and interpreting large datasets to provide valuable insights and support decision-making processes. You will work closely with various teams, including clinical, actuarial, underwriting, claims, strategy, account management and sales to identify trends, patterns, and opportunities for improving operational efficiency, risk management, and client satisfaction. This role will report to local regional leadership (Managing Partner, EB Practice Leader, etc.), but will receive guidance from and work closely with the National Practice team. Responsibilities: Data Collection and Management: * Gather and compile relevant data from internal and external sources, such as claims databases, member enrollment records, and healthcare provider information. * Ensure data integrity and accuracy by performing data validation, cleansing, and transformation processes. * Develop and maintain databases, data systems, and data models to facilitate efficient data analysis. Data Analysis and Reporting: * Utilize statistical analysis techniques, data mining, and data visualization tools to identify trends, patterns, and anomalies in health insurance data. * Analyze claims data to assess utilization patterns, cost drivers, and medical trends to support the development of pricing models and risk assessment strategies. * Generate reports, dashboards, and presentations to communicate findings and recommendations to stakeholders, including management, executives, and regulatory authorities. Performance Monitoring and Forecasting: * Monitor key performance indicators (KPIs) and metrics related to health insurance operations, such as claims processing time, provider network performance, and member satisfaction. * Develop forecasting models and predictive analytics to anticipate future trends, estimate risk exposure, and support strategic planning initiatives. * Conduct ad hoc analyses and scenario modeling to evaluate the financial impact of policy changes, new product launches, or regulatory reforms. Data-driven Decision Support: * Collaborate with cross-functional teams to identify opportunities for process improvement, cost reduction, and revenue optimization based on data insights. * Provide analytical support for evaluating the effectiveness of health programs, care management initiatives, and disease management interventions. * Assist in designing and evaluating pricing structures, insurance products, and benefit plans based on actuarial analysis and market research. Compliance and Risk Management: * Ensure compliance with relevant regulatory requirements, such as HIPAA (Health Insurance Portability and Accountability Act), by implementing appropriate data privacy and security measures. * Identify potential fraud, waste, and abuse patterns through data analysis and collaborate with fraud detection units to mitigate risks. * Support internal and external audits by providing accurate and comprehensive data reports and documentation. ## Related Videos - [Beyond Gut Feelings: The Rise of Data-Driven HR](https://www.wearedevelopers.com/videos/1326-beyond-gut-feelings-the-rise-of-data-driven-hr) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [What if your HR software adapted to you, not the other way around?](https://www.wearedevelopers.com/videos/100259-what-if-your-hr-software-adapted-to-you-not-the-other-way-around) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)