Production Data Quality Analyst-Observability & Validation

Insight Global; Jacksonville (FL); On-site; USD 70,000 - 95,000; Full time

Job summary

Insight Global is seeking an Operations & Data Quality Analyst to help build a new Data Operations function within the Data Engineering team. This role acts as the control tower for production data, monitoring the health and reliability of pipelines across a Snowflake environment from ingestion through downstream delivery.

It is highly hands-on, focusing on data validation, reconciliation, troubleshooting production failures, root cause analysis, and data quality management.

Qualifications

• 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.

Responsibilities

• Own the data observability platform and monitoring processes.
• Develop alerts, runbooks, and data quality checks.
• Collaborate with Data Engineers, Finance, Underwriting, and Actuarial teams to ensure production data is accurate.

Skills

Advanced SQL

Data Analysis

Data Quality

Data Operations

Production Data Validation

Root Cause Analysis

Data Observability

Snowflake

Monitoring & Troubleshooting

Tools

Monte Carlo

Great Expectations

Soda

Job description

Insight Global is seeking an Operations & Data Quality Analyst to help build a new Data Operations function within the Data Engineering team. This role acts as the control tower for production data, monitoring the health and reliability of pipelines across a Snowflake environment from ingestion through downstream delivery.

It is highly hands-on, focusing on data validation, reconciliation, troubleshooting production failures, root cause analysis, and data quality management.