Join Deloitte's Technology & Transformation practice as a Senior Data Analyst and leverage your expertise to unlock the value hidden within vast datasets. Our team offers strategic guidance and implementation services, helping companies manage data from various sources and convert it into actionable information for informed decision-making and a competitive advantage. We focus on business intelligence, data management, performance management, and cutting-edge analytics including big data, cloud, and machine learning.

This role is crucial for analyzing healthcare and insurance data to identify critical trends, risks, and opportunities. You will be instrumental in defining key performance indicators (KPIs) and developing insightful dashboards and reports for management.

As a Senior Data Analyst, you will be responsible for in-depth analysis of healthcare and insurance data to uncover trends, risks, and opportunities.

You will define key performance indicators (KPIs) and develop comprehensive dashboards, reports, and management insights. The role involves validating, reconciling, and interpreting data from diverse systems and sources. You will conduct statistical analyses and translate findings into practical, actionable recommendations for business stakeholders.

Collaboration with business and technical teams to clarify analytical requirements is key. You will also maintain essential data dictionaries, analytical documentation, and presentation materials to ensure knowledge sharing and project continuity.

We are seeking a Senior Data Analyst with a Master's or Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or Data Science. A minimum of 10 years of experience in Data Analytics is required, with a strong preference for experience within the health insurance or healthcare domains.

Demonstrated experience in delivering responsibilities relevant to this profile within enterprise or public-sector environments is essential. Key technical proficiencies include advanced SQL, Excel, BI tools, and data visualization techniques. Expertise in statistical analysis, KPI design, dashboard creation, trend analysis, and predictive insights is highly valued.

Candidates should also possess skills in data cleansing, validation, reconciliation, and analytical data modeling. A foundational understanding of health insurance/healthcare datasets, including claims, utilization, and program indicators, is necessary. While not mandatory, relevant professional or technology certifications, and experience in healthcare, health insurance, government, or large-scale e-governance applications would be a significant advantage.