We are seeking a skilled Data Analyst to join us and assist in the analysis and forecasting of health insurance claims data. The key responsibilities include: 1. Data Analysis: Analyze claims data for employees and their families, including the amount claimed, the provider used, the date of the claim, diagnosis code and the payment date from the insurance company. 2. Employee Details: Manage and analyze data related to all insured employees, including demographics and insurance usage. 3. Usage Trends & Abuse Detection: Identify usage patterns that may suggest overuse or misuse of the insurance service, including: • Repeated, high-frequency use by specific    employees or dependents (potential “shoppers”) • Claims that indicate possible abuse or unnecessary service utilization 5. Potential Threat Analysis: Analyzing potential threats that could lead to a significant increase in claims costs, which may affect the policy pricing for the next year. 6. Benchmarking: Provide benchmarking insights by comparing the client’s data with industry standards, if available. 7. Employee Turnover Analysis: Analyze the impact of employee turnover by tracking the number of employees joining and leaving over specific timelines and its effect on overall claims. 8. Forecasting: Use historical data from the past two years to forecast future claims and estimate the client’s future expenditures. Requirements: • Proven experience in data analysis, preferably in the healthcare or insurance industry. • Strong proficiency in data visualization and forecasting tools. • Excellent analytical and problem-solving skills. • Ability to work with large datasets and derive actionable insights.