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Lead Data & Quality Assurance Analyst

4 people in a boardroom

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.


Do you love solving business problems or complex questions with data? Are you a logical, analytical thinker who has a passion for scalable solutions? Are you a tech savvy individual looking for an exciting, dynamic role which deep-dives into the consumer, commercial and fraud credit world? If so, we would love to hear from you!

Equifax is looking for a Lead Data & Quality Assurance Analyst to join its Canadian team. As a lead data analyst at Equifax, you will work directly with both internal stakeholders and external clients using data and analytics to answer key industry questions.

This is a hybrid role where 50% of your time will be spent utilizing data and analytics to address internal and external client problems / projects via the creation of reporting and data analytics, and 50% of your time will be ensuring deliverables within the team are to a high quality standard and error free.

The ideal candidate will not only have strong technical experience but demonstrate creativity and inquisitiveness and a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for identifying potential risks in data and analytical project deliverables and have a hands on approach to solving these.  You will be working in a fast-paced function where digging to understand the “why” and “so what” is critical.

What you'll do

  • Working in our cloud environment, leverage analytical techniques & visualization tools to develop scalable solutions across multiple credit related topics

  • Lead and develop a quality assurance framework for custom projects which can be easily implemented provide demonstrably improved accuracy and quality of deliverables

  • Fulfillment of a vast array of client specific projects involving data engineering, reporting and insight generation

  • Effectively communicate to key stakeholders using storytelling, strong data visualizations, superior presentation skills and business language to emphasize the “so what” of the analysis

  • Creation of recommendations, market insights and dashboards following completed analysis for client projects

What experience you need

You don’t have to tick all of the boxes but some of the following would be ideal:

  • 3+ years’ analytics / data science experience with expert knowledge of R, Python, SAS or SQL in a large data environment

  • 2+ years experience designing and building analytical solutions to solve real world problems, with limited direct supervision required

  • Exceptional sense checking and error identification skills with experience in real world quality assurance checks on complex analysis

  • Creativity & idea generation

  • Experience in working with Credit Bureau data

  • Experience working in the consumer / commercial credit or fraud industry 

  • Background in financial services, telecommunications or utilities favorable 

  • Experience with data visualization tools (Spotfire, Tableau, Qlik) is an assetBachelor’s or advanced degree in a quantitative discipline such as Engineering, Economics, Mathematics, Statistics, or Physics (essential)

What could set you apart

  • Master’s level degree in a business-related field/MBA (preferred)

We offer comprehensive compensation and healthcare packages, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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