Key skills
PythonSQLData EngineeringAnalyticsCollaboration
About this role
Role Overview
- Own analytics-ready datasets and dashboards from requirements through delivery and adoption
- Lead QA and UAT processes for new datasets, pipelines, and data products
- Define acceptance criteria, test plans, and validation checks
- Ensure data accuracy, completeness, usability, and consistency
- Partner with data engineering to investigate root causes of data issues and bugs
- Query and validate complex datasets using SQL and Python
- Analyze large datasets to identify trends, patterns, and actionable insights
- Partner with marketing and business teams to enable audience segmentation for acquisition, engagement, and retention initiatives
- Act as the primary liaison between business stakeholders and technical teams
Requirements
- Bachelor’s degree in Analytics, Economics, Business Analysis, Marketing, or a related field
- 3+ years experience working with SQL, Python, or similar analytical tools
- 1+ year experience in stakeholder-facing roles or product ownership responsibilities
- Demonstrated experience supporting data-driven decision-making
- History of successful cross-functional collaboration
Tech Stack
- Python
- SQL
Benefits
- Full-time remote role
- Hybrid work option available for select locations (e.g., Toronto)