Senior Data Analyst

Job Title / Role: Senior Data Analyst. Key Skills: SQL, Data modeling, Snowflake, and Data warehousing concepts. Experience: 10+ Location: Windsor CT, (Day 1 On-site) Shift: General. Mode: On-Site. We at Coforge are seeking “Senior Data Analyst” with the following skill set: Role Overview We are looking for a Senior Data Analyst to lead analytical initiatives, design advanced reporting solutions, and deliver actionable insights that drive strategic decision-making. The ideal candidate will work closely with business leaders, data engineers, and BI teams to ensure high-quality, accurate, and timely data analysis. Key Responsibilities • Lead the design and development of reports, dashboards, and data visualizations using Power BI, Tableau, or similar tools. • Perform deep-dive data analysis to identify business opportunities, risks, and performance drivers. • Partner with stakeholders to define KPIs, metrics, and reporting standards. • Guide junior analysts and provide mentorship on analytical best practices. • Collaborate with ETL and data engineering teams to ensure data integrity, consistency, and availability in Snowflake and other sources. • Conduct advanced SQL-based queries and optimize performance for large datasets. • Present insights and recommendations to senior leadership in a clear, concise manner. • Contribute to the design of self-service reporting frameworks for business users. • Ensure compliance with data governance, security, and privacy policies. • Stay current with emerging tools and techniques to improve analytics capabilities. Required Skills & Qualifications • 7–10 years of experience as a Data Analyst or in a similar analytical role. • Advanced expertise in SQL and working with relational and cloud data warehouses (Snowflake preferred). • Proficiency in BI tools (Power BI, Tableau, Qlik) with proven dashboard development experience. • Strong analytical and problem-solving skills with the ability to interpret complex datasets. • Solid understanding of data modeling, ETL processes, and data warehousing concepts. • Proficiency in Excel (advanced formulas, macros, pivot tables).