Data Quality Analyst - Advanced- 186132-1

Our client, is seeking an experienced, highly detail-oriented Data Quality Analyst / Data Governance Specialist to support the enterprise management of metadata and data quality frameworks.

In this high-impact consulting role, you will balance project delivery with operational support for core metadata and data quality applications. Operating in a dynamic, fast-paced capital markets environment, you will drive the adoption of data governance and data quality principles, analyze complex data issues, and capture business requirements from trading, risk, and operations stakeholders. You will represent business interests in prioritizing and resolving data anomalies, executing source-to-target profiling using SQL and Python, and mentoring team members to ensure robust data integrity across the firm's capital markets data ecosystem.

Duration: 12-Month Contract (with high potential for extension)

Advantages
High-Impact Capital Markets Scope: Drive data quality, metadata management, and governance adoption across a top-tier global investment banking organization.

12-Month Engagement Stability: Secure a full 1-year consulting contract within a well-funded, data-driven financial technology group.

Modern Technical Sandbox: Leverage SQL, Python, and enterprise data quality suites to profile, investigate, and remediate complex data anomalies.

Leadership & Growth: Mentor team members, coordinate cross-functional tasks, and lead data governance adoption across key business lines.

Responsibilities
Data Governance & DQ Adoption: Champion data quality and metadata governance principles across business and technical project streams, ensuring alignment with enterprise standards.

Requirements Gathering & Prioritization: Capture, define, and prioritize business data quality requirements by working directly with end users, traders, and operational leads.

Complex Data Issue Resolution: Analyze, investigate, and resolve complex data quality issues and metadata gaps across high-volume capital markets data feeds.

Data Analysis & Profiling: Write advanced SQL queries and Python scripts to extract, profile, and validate large datasets across relational and cloud platforms.

Team Mentorship & Coordination: Lead task execution for data quality initiatives, train internal team members, and foster a collaborative environment focused on continuous data excellence.

Qualifications
Educational Background: Bachelor's or Master's degree in Data Science, Computer Science, Commerce, or a related quantitative discipline with strong computer science fundamentals.

Capital Markets & Banking Domain: Proven knowledge of capital markets business concepts paired with a solid understanding of banking data architectures and financial data flows.

Data Quality & Governance Depth: Demonstrated experience capturing metadata, establishing data quality rules, and managing data issue remediation workflows.

Programming & SQL Proficiency: Strong hands-on technical skills in SQL for dataset querying and Python for data manipulation and analysis.

Soft Skills: Outstanding critical thinking, sharp attention to detail, strong adaptability to changing priorities, and excellent written/verbal communication skills.

Preferred Assets & Nice-to-Haves
Hands-on experience with enterprise data governance and ETL suites such as IBM Information Analyzer, IBM Cloud Pak for Data, IBM DataStage, or Ataccama.

Exposure to cloud technologies, modern data lake architectures, and AI-assisted data quality tools.

Summary
If you are a tech-savvy Data Quality Analyst who pairs strong SQL and Python proficiency with capital markets domain knowledge and a passion for data governance, this 12-month contract is an outstanding opportunity. Bring your data profiling precision, problem-solving skills, and collaborative leadership to our client's team today!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [email protected] to ensure their ability to fully participate in the interview process.

This posting is for existing and upcoming vacancies.