[Hiring] Data Quality Analyst @P\S\L Group

Role Description

The Data Quality Analyst is responsible for ensuring the integrity and quality of data through monitoring, investigations, and testing.

Key Responsibilities

• Own data quality monitoring (about 40%):
  • Design, build and maintain automated checks on key activity and reference datasets: volumes, rates, freshness, completeness and distribution shifts.
  • Set baselines and alert thresholds for unexpected changes.
  • Tune alerts to minimize noise; ensure every alert is actionable.
  • Maintain a data quality dashboard and report trends and recurring issues in monthly metrics.
• Own data quality investigations (about 30%):
  • Triage alerts or reported issues: confirm validity, size impact, and set priority.
  • Initiate investigations and collaborate with relevant teams.
  • Trace issues to root cause across systems and document findings.
  • Communicate status clearly to stakeholders until resolution.
• Pre-deployment Data Acceptance Testing (about 30%):
  • Collaborate with teams on affected datasets for each release.
  • Run pre- and post-deployment data comparisons to confirm expected changes.
  • Provide formal data sign-off or raise blockers for releases.
  • Develop reusable, automated test suites over time.
  • Incorporate lessons from incidents into release checklists.

Qualifications

• 3+ years in data quality, data analysis, data QA or analytics engineering.
• Strong SQL skills: comfortable with large datasets, reconciliation queries, and data profiling.
• Experience setting up data monitoring or alerting.
• Hands-on experience with AI coding tools.
• Ability to articulate and write requirements for automations and data quality alerts.
• Experience testing data around software releases.
• Methodical root-cause analysis and clear documentation skills.
• Strong attention to detail.
• Confident in coordinating across teams and time zones.
• Professional proficiency in English; Spanish is an asset.
• Able to work with significant overlap with Eastern Time (Toronto).

Preferred

• Python for automation and anomaly detection.
• Experience with marketing or engagement data, ideally in healthcare or pharma communications.
• Familiarity with reference data, master data, or data governance practices.
• Experience using Jira/Confluence and Google Suite.
• Knowledge of CRM data and privacy-aware handling of HCP data.

How You Work

• Takes ownership and drives issues to closure independently.
• Remains calm and structured in ambiguous situations.
• Prefers automating checks over manual repetition.
• Flags findings early and clearly, even if unwelcome.
• Utilizes AI to enhance productivity.