Senior Data Analyst

Role Overview

This role is focused on deep data analysis, data validation, and advanced analytics across enterprise datasets. The position is suited for a highly analytical professional who works extensively with data, builds complex queries, validates outputs, and ensures high-quality, trusted data.

What You Will Do

Perform deep data analysis across large, complex datasets to uncover trends, anomalies, and insights. Develop advanced SQL queries for data extraction, transformation, and validation.

Why It Might Be a Fit

The role requires strong technical data skills with an understanding of underlying data platforms and pipelines, but remains focused on analysis rather than engineering.

Requirements

• 5+ years in data analysis, analytics, or related roles
• Strong experience working with enterprise data environments
• Proven track record in data validation, troubleshooting, and analysis
• Experience working with technical teams (data engineering, platform teams)
• Advanced SQL (joins, CTEs, window functions, complex aggregations)
• Experience working with large datasets in platforms like Databricks, Synapse, or Snowflake
• Strong understanding of data structures, schemas, and transformations
• Familiarity with data pipelines and how data flows across systems
• Experience with BI/reporting tools (Power BI, Tableau)
• Strong problem-solving and critical thinking skills
• High attention to detail and data accuracy
• Ability to work independently on complex analytical problems
• Experience performing reconciliation and validation across multiple systems

Benefits

• equal opportunity employer
• diverse and inclusive workforce
• fully embraced and committed to expanding our diverse and inclusive workforce
• strive to reflect the communities we serve while delivering amazing service and technology centered around humanity

Originally posted on Himalayas