Data Quality Analyst

The Data Quality Analyst is a high performing role that supports the management of data in the Canadian Data Library. This individual will work within a network of product owners, data scientists, data stewards, technologists and other data management professionals to ensure our second most important asset is of the best quality and fit for use. The Data Quality Analyst should be tenacious, creative, curious, with an appetite for growth and innovative business leadership. As a Data and Analytics company, this role is critical to revenue generation and key to growth. They are responsible for the investigation, correction and prevention of data issues.
 

What you’ll do

• Domain Expertise: Understand the life cycle of Equifax data across all stages from ingestion to product delivery.
• Business Transformation: Run validation routines, comparing results between legacy and cloud systems.
• Data Quality Investigations: Analyze and evaluate data quality issues, clarifying issues and recommending corrective action. 
• Quality Monitoring: Support and monitor automated  threshold based reports that efficiently and reliably identify areas for further investigation and improvement. Work with the data steward to support the resolution of the findings in a timely manner.
• Data Quality: Work with the Data Steward and the data modernization team to establish consistent data quality.
• Continuous improvement: work with an evergreen roadmap of initiatives, data management, product and IT to identify, define, and implement data quality processes and requirements.
• Analyze data and provide data quality assurance for support teams.
• Maintain documentation and share knowledge base.
• Participate in process improvement.
• Assist in development and implementation of new processes, procedures and tools to analyze data and insights.
• Provide reporting to support multiple project scopes.

What experience you need

• Bachelor’s or advanced degree in a quantitative discipline such as Computer Science, Engineering, Economics, Mathematics, Statistics, or Physics (essential) or Business with combination of work experience.
• 3+ years experience with data and business insights analysis which identify and drive ongoing excellence in data quality practices.
• Intermediate to advanced knowledge of data analysis methods and the ability to analyze and resolve complex data related issues (SQL, Google Big Query, Python, Hadoop, etc.).
• Experience with business and/or technical documentation and the assessment of existing processes and systems.
• Excellent communication skills, verbal and written.
• Able to work independently with general supervision/oversight to achieve short-term (weekly/monthly) performance expectations.
• Adaptability and ability to deal with ambiguity.

What could set you apart

• Experience in designing and building analytics solutions to solve real world business problems.
• Creativity, drive and the ability to identify efficiencies and opportunities. The ability to collaborate with multiple teams and get teams to work together.
• The demonstrated ability to make Data Governance a function that enables business to function more efficiently and with greater results.  
• Experience in analytics, software engineering, data management/architecture or similar and experience in managing technical documentation.
• Expertise in the financial services industry.
• The ability to manage multiple high-impact projects at the same time.
• Experience with Collibra and other similar tools.

Primary Location:

CAN-Toronto-5700 Yonge

Function:

Function - Data and Analytics

Schedule:

Full time