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Posted 3 days ago

Data Quality Analyst – Data Strategy

@ TEEMA

Vancouver, British Columbia

Contract5+ years experience
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Overview

TEEMA is hiring a Data Quality Analyst on a 7-month contract with a large public sector organization in Burnaby, BC. The role builds data quality scorecards, validation rules and monitoring controls, and performs profiling and root cause analysis. Candidates need 5+ years of data quality or governance experience and strong SQL skills.

Responsibilities:

  • Develop and maintain data quality scorecards, dashboards and reports
  • Establish data quality rules, validation criteria and monitoring controls
  • Perform data profiling, reconciliation and validation of calculations
  • Identify data quality issues and conduct root cause analysis
  • Assist with identifying Critical Data Elements and quality requirements

Requirements summary:

  • 5+ years in data quality analysis or data governance
  • Experience developing data quality scorecards and metrics
  • Experience establishing quality rules and validation processes
  • Proficiency with SQL, data profiling and data analysis
  • Understanding of data governance and enterprise data environments

Tools & skills

Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-10
First seen by our source
2026-11-14
Source record updated
2026-11-14

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentData & analytics
Experience5+ years
Travelair: none · ground: none
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

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Job description

TEEMA is seeking an experienced Data Quality Analyst for a 7-month contract opportunity with a large public sector organization in Burnaby, BC.

This is an excellent opportunity for a hands-on data quality professional who enjoys improving data accuracy, developing quality frameworks, and establishing sustainable data monitoring practices.

The successful candidate will play a key role in strengthening enterprise data quality by developing data quality rules, scorecards, validation processes, and monitoring controls.

Key Responsibilities

  • Develop and maintain data quality scorecards, dashboards, metrics, and performance reports.
  • Establish data quality rules, business rules, validation criteria, and monitoring controls.
  • Monitor data quality compliance, KPIs, trends, and performance against established thresholds.
  • Perform data profiling, analysis, reconciliation, and validation of calculations to ensure data accuracy and integrity.
  • Identify data quality issues, conduct root cause analysis, and recommend remediation strategies.
  • Collaborate with business and technical stakeholders to define data quality requirements and improvement priorities.
  • Support the development of data quality standards, procedures, and repeatable monitoring processes.
  • Assist with identifying Critical Data Elements (CDEs) and associated quality requirements.

Required Qualifications

  • 5+ years of relevant experience in data quality analysis or data governance, with demonstrated hands-on data quality expertise.
  • Proven experience developing and implementing data quality scorecards and metrics.
  • Strong experience establishing data quality rules, validation criteria, and monitoring processes.
  • Experience validating calculations, analyzing data discrepancies, and ensuring data accuracy.
  • Proficiency with SQL, data profiling, and data analysis techniques.
  • Understanding of data governance principles, data management, and enterprise data environments.
  • Strong analytical, problem-solving, and stakeholder communication skills.

Nice to Have

  • Experience with Microsoft Fabric.
  • Experience developing dashboards and reports using Power BI.
  • Previous experience in the public sector or other regulated environments.
  • Familiarity with Microsoft Purview, Collibra, Informatica, or similar data governance platforms.

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