Coforge
Overview
Job Title / Role: Senior Data Analyst.
Key Skills: Power BI, Tableau, Qlik, data modeling, ETL processes, 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).