Senior Data Analyst (6 Month Contract)

KEV GroupToronto, ON
CA$110,000 - CA$130,000Hybrid

About The Position

We are looking for a detail-oriented and business-savvy Senior Data Analyst to design and optimize database queries, analyze product usage, and generate actionable insights that will help drive adoption and increase payment revenue. This role will collaborate closely with Product, Technology, and Account Management teams to uncover patterns, measure performance, and inform strategies that enhance customer engagement and overall product success. As a key contributor to KEV’s data-driven decision-making, you will transform raw data into meaningful insights and provide recommendations that influence product development, marketing, and customer success initiatives.

Requirements

  • Bachelor's degree in a quantitative field such as Decision Science, Data Science, Mathematics or Statistics.
  • 3-5 years experience in SQL, R, Python, PowerBI, with advanced knowledge in Excel and Excel Power Query.
  • Strong experience in collaboration with key partners to refine stakeholder requirements and to identify and analyze trends.
  • Experience with BI tools (e.g., Power BI) and data visualization best practices.
  • Excellent problem-solving and analytical skills with strong attention to detail.
  • Ability to work cross-functionally and communicate insights clearly to both technical and non-technical stakeholders.

Nice To Haves

  • Familiarity with statistical analysis and A/B testing methodologies is an asset.
  • Experience with SaaS products, payments, or education technology is a plus.

Responsibilities

  • Design, write, and optimize queries and data pipelines to extract and analyze product usage data using SQL, R, Python, or similar data mining and analytics applications.
  • Leverage statistical modeling, predictive analytics, and machine learning techniques to provide deeper insights into business operations and market conditions.
  • Create dashboards, reports, and visualizations to track product adoption, engagement, and revenue impact as needed.
  • Partner with Product Management to identify usage trends and opportunities for feature adoption.
  • Collaborate with Account Management to analyze client usage patterns and develop targeted engagement strategies.
  • Conduct ad-hoc analyses to answer strategic questions about product performance and market behavior.
  • Provide data-backed recommendations to drive increased payment revenue and product growth.

Benefits

  • Competitive compensation
  • Meaningful benefits
  • Retirement Savings Support (company-matched RRSP in Canada and 401(k) contributions in the U.S.)
  • Professional development (KEV Academy, KEV University)
  • Flexible PTO (close to 4 weeks of vacation and company-wide holiday closure)
  • Office perks (fully stocked snack bar, occasional catered lunches)
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service