Lightspeed

FinTech

SeniorProductDataAnalyst

CA$115–135k Toronto, Ontario, Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Product Data Analyst at Lightspeed. Skills: Data analysis, Machine learning, Business intelligence, Data visualization. Develop and maintain data models. Build and optimize data pipelines”

Industry & Context.

FinTech
Problems you'll solve

Analytical skills

What They're Looking For.

Must Have

5+ years of experience in data analytics, Proficiency in SQL, Experience with Python or R, Bachelor's degree in a quantitative field

Nice to Have

Master's degree or PhD, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI, Looker), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with MLOps practices

What You'll Do.

Develop and maintain data models

Build and optimize data pipelines

Design and implement ETL processes

Perform complex data analysis

Develop machine learning models

Create and maintain dashboards

Collaborate with stakeholders

Communicate findings to technical and non-technical audiences

Ensure data quality and integrity

Stay updated on industry trends

How You'll Work.

Team & Collaboration

Cross-functional teams; Product managers; Engineering teams; Business stakeholders

Communication Scope

Present findings; Technical communication

Full Job Description

Hi there! Thanks for stopping by 👋 We’re looking for a Senior Product Data Analyst to join our Financial Services team in Canada. This role sits at the intersection of Product Analytics, Decision Science, and Product Strategy. You will partner closely with Product, Engineering, and business leadership to help shape the future of Capital through data-driven decision making. For Capital to succeed, many of our most important product and business decisions depend on balancing complex trade-offs across pricing, conversion, offer volume, losses, and profitability. In many ways, data-driven decision making is the product itself. We’re looking for someone who can operate as a strategic thought partner , not simply answer predefined questions, but help determine: - What problems we should solve, and the right way to design and implement solutions - Defining and measuring success across product, merchant, and business outcomes - Optimizing for both merchant success and business performance, balancing growth, risk, and operational tradeoffs What you’ll be doing: - Partner with Product and Engineering leaders to influence product strategy through deep analytical insights and decision frameworks - Lead ambiguous and high-impact analytical initiatives end-to-end, from problem definition through recommendation and implementation - Build analytical models and frameworks that optimize trade-offs across risk, pricing, conversion, profitability, and customer outcomes - Design and evaluate experiments, including pricing and conversion optimization initiatives - Translate complex business problems into structured analytical approaches and measurable success criteria - Identify product opportunities, operational inefficiencies, and strategic insights through deep analysis of large-scale transactional and product datasets - Deliver executive-level recommendations and influence roadmap decisions using data - Collaborate cross-functionally with Product, Engineering, Finance, and GTM teams

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