Data Analyst

Our client is seeking an Operations & Data Quality Analyst to help build a new Data Operations function within their Data Engineering team. This person will serve as the control tower for production data, monitoring the health and reliability of data pipelines across a Snowflake environment from ingestion through downstream delivery. The role is highly hands-on and focused on data validation, reconciliation, troubleshooting production failures, root cause analysis, and data quality management.

This individual will own the organization's data observability platform, develop monitoring and alerting processes, create operational runbooks, and partner closely with Data Engineers, Finance, Underwriting, and Actuarial teams to ensure production data is accurate, complete, and dependable.

• 3+ years of experience in Data Analysis, Data Quality, Data Operations, or a related field
• Advanced SQL skills including complex queries, joins, window functions, and large dataset analysis
• Hands‑on experience validating, reconciling, and troubleshooting production data
• Experience monitoring production data pipelines and investigating job failures
• Root cause analysis experience across multiple data systems and workflows
• Experience with a Data Observability/Data Quality platform (Monte Carlo, Great Expectations, Soda, or similar)
• Snowflake experience, including data ingestion and querying large datasets
• Experience creating exception reporting, data quality checks, and monitoring processes

• Experience with Airflow, dbt, or similar orchestration/transformation tools
• Power BI, Tableau, or other BI/reporting tools
• Experience supporting financial close processes and reporting
• Experience building operational runbooks, SLAs, and incident management procedures
• This is not a Data Engineer role. The focus is on production support, data quality, monitoring, validation, and operational ownership.
• Candidate should be comfortable owning data quality from the point data enters Snowflake through final business consumption.
• Strong SQL and hands‑on troubleshooting ability are critical.
• Looking for someone who can identify data issues, investigate discrepancies, and partner with engineers on resolutions rather than build pipelines themselves.
• Ideal backgrounds:
  Data Quality Analyst, Data Operations Analyst, Production Data Analyst, Data Governance Analyst, Business/Data Analyst supporting enterprise data platforms.