E-Solutions

E-Solutions

Senior Data Analyst

Company : E-Solutions

Location : Windsor, CT, 06006

Job Type : Full Time

Date Posted : 2 October 2026

Position: Senior Data Analyst
Location: Windsor CT (5 days Onsite)


Duration: Longterm Contract

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).

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