Perform deep data analysis across large, complex datasets to uncover trends, anomalies, and insights
Develop advanced SQL queries for data extraction, transformation, and validation
Analyze and validate data outputs across systems and reports to ensure accuracy
Partner with data engineering teams to understand data structures and pipeline logic
Investigate and resolve data discrepancies using root cause analysis
Build and support analytical datasets and reporting layers for downstream consumption
Perform detailed analysis on large datasets to identify trends and business patterns
Conduct root cause analysis on data inconsistencies and reporting issues
Work across multiple data sources to reconcile and validate information
Develop reusable queries and analysis frameworks
Support complex ad-hoc analytics and troubleshooting requests
Design and execute data validation checks (row counts, aggregates, reconciliation)
Ensure data completeness, accuracy, and consistency across systems
Validate business logic and transformation outputs
Identify data anomalies and document findings
Work with upstream and downstream teams to resolve data issues
Maintain data definitions, business rules, and metric consistency
Support data lineage understanding across datasets
Contribute to data governance standards and documentation
Ensure data is audit-ready and aligned with compliance requirements
Promote consistency in metric definitions and reporting logic

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

Senior Data Analyst

Key skills