Data Scientist driving analytics and experiments for Jerry.ai’s AI - powered advisor for cars, homes, and other physical assets. Embedded across growth, product, AI, or strategic partnerships.
About the role
- Senior Analytics Engineer building reconciled data models and BI metrics for CSC Generation’s AI-powered omnichannel retail brands. Using SQL, Python, cloud warehouses, and AI tooling to improve business decisions.
Responsibilities
- Own the analytical layer between raw data and business decisions
- Write, review, and debug SQL and Python code, including AI-generated code
- Build and maintain analytical data models across the portfolio
- Design and maintain semantic layers and reusable BI data models
- Integrate and reconcile data across systems and business units
- Align metric definitions and master data for customers and products
- Validate data and reconcile discrepancies across ERP, web analytics, and other sources
- Scope technical feasibility, effort, trade-offs, and delivery expectations for data requests
- Define KPIs and translate business questions into analytical approaches
- Provide clear, actionable recommendations
- Use AI tools such as Claude Code and Codex to accelerate analysis, coding, and documentation
- Critically review AI-generated outputs
- Partner with data engineering, business stakeholders, and external vendors
- Maintain data quality across the portfolio
- Deliver reconciled cross-brand metrics, reusable BI-layer data models, and accelerated analytics workflows
Requirements
- Strong SQL and Python skills, including writing, reviewing, and debugging AI-generated code
- Experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift
- Experience with data modeling
- Familiarity with ERP and web analytics data sources such as NetSuite and Google Analytics
- Understanding of ETL/ELT pipelines, data warehousing, and orchestration tools such as Airflow
- Experience integrating and reconciling data across multiple systems or business units
- Experience aligning metric definitions and master data
- Rigorous data validation and governance skills
- Proficiency with at least one modern BI tool such as Looker, Tableau, or Power BI
- Experience building semantic layers or reusable data models
- Fluency with AI coding and analysis tools
- Strong business acumen and experience defining KPIs
- Ability to translate business questions into analytical approaches
- Ability to partner with data engineering, business stakeholders, and external vendors
- Mandatory in-person interview attendance before an offer
- Valid LinkedIn profile URL, or credible explanation and alternative professional-background evidence if no profile exists
- Employment contingent on a background check, including verification of prior employment dates
- Preferred: foundation in statistics and experimentation, experience with AI-assisted analytics workflows, and experience in e-commerce, retail, or marketing analytics
Benefits
- Paid time off policies
- RRSP match
- Medical coverage
- Dental coverage
- Vision coverage
- Supplemental benefit options
- Employee discounts across the portfolio of brands
- AI-first skill building
- Cross-functional impact across the portfolio
- End-to-end ownership
Job title
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Salary
Not specified
Degree requirement
No Education Requirement
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