Data Quality Analyst
Core
Design, build, and maintain automated data quality checks, investigations, and pre-deployment acceptance testing for key activity and reference datasets in a medical communications context.
Role type
Data Quality Analyst (Data QA & Analytics Engineering)
Builds
Automated data monitoring checks, alerting systems, data quality dashboards, and reusable test suites.
Domain
Healthcare / Medical Communications / Data Engineering
Required skills
SQL, Data Quality Monitoring, Data Profiling, Root Cause Analysis, Data Acceptance Testing, Automation (dbt/Great Expectations/Soda), AI Coding Tools, Stakeholder Coordination, Technical Writing
Preferred skills
Python, Marketing/Engagement Data, Data Governance (DAMA-DMBOK), CRM Data (Zoho), HCP Data Privacy
Technologies
dbt, Great Expectations, Soda, SQL, Python, Claude code, OpenAI Codex CLI, Antigravity CLI, Jira, Confluence, Google Suite, Zoho
Responsibilities
Design and maintain automated checks for data volumes, rates, freshness, completeness, and distribution shifts; Triage alerts and investigate root causes across source systems and pipelines; Execute pre- and post-deployment data comparisons and provide formal sign-off for releases; Document findings and resolutions in shared logs and Confluence.
Seniority
Mid-level, hands-on IC