Product Analyst

2 weeks ago

Toronto, Ontario, Canada Infotek Consulting Inc. Full time

Senior Product Analyst – Buyer Analytics (m/f/d)

Location:
Toronto, Canada (hybrid)

Type:
11-month Contract

About the Role

We are looking for a Product analyst for a client in the e-commerce industry.

As a Senior Product Analyst, you will join the Buyer Analytics team and serve as a strategic analytics partner to product teams. You will influence product decisions through rigorous data analysis, build scalable self-service analytics solutions, and generate insights that enhance the Buyer Journey and overall product performance. This role is based in Toronto and offered as an 11-month contract.

What You'll Do

Data-Driven Product Development

  • Act as a trusted analytical partner to product teams, ensuring product decisions and development processes are grounded in high-quality data.
  • Contribute as a core member of the Buyer Analytics team, supporting product strategy through insight-led analysis.

Deep Customer Understanding

  • Develop a strong understanding of users and products, with a particular focus on the Buyer Journey.
  • Analyze how buyers arrive on the platform, navigate product flows, engage with features, and ultimately convert.

Data Enablement & Self-Service Analytics

  • Design and build self-service analytics solutions, including dashboards, data models, and metric frameworks.
  • Evaluate and implement modern analytics technologies, including GenAI use cases, to provide scalable and reliable access to insights.
  • Partner closely with product teams to improve data literacy and empower stakeholders to independently explore and interpret data.

Consultative Analytics & Insight Generation

  • Conduct analytical deep dives to answer business questions and identify trends, opportunities, and risks.
  • Translate complex analyses into clear, actionable recommendations that inform product and business decisions.

Collaboration & Data Quality

  • Work cross-functionally with engineering, tracking, and data platform teams to ensure accurate event instrumentation and reliable data pipelines.
  • Align on metric definitions, maintain documentation, and contribute to a shared understanding of core KPIs across teams.

Experimentation & Optimization

  • Support experimentation initiatives by designing A/B tests, defining hypotheses, ensuring statistical rigor, and interpreting results.
  • Use experiment outcomes to drive continuous product optimization and performance improvements.

What You Bring

  • A degree in economics, data science, mathematics, statistics, or a related field, with several years of experience in analytics, customer insights, data science, or data-driven consulting.
  • Advanced SQL skills, including the ability to query large datasets and optimize queries for performance.
  • Experience using Python for data analysis and automation.
  • Strong data modeling skills and experience building efficient analytics pipelines for production or stakeholder-facing use cases.
  • Solid statistical knowledge, including A/B test design, execution, and evaluation.
  • Familiarity with Google Analytics and event tracking implementations is a plus.
  • Hands-on experience with data visualization tools such as Amazon QuickSight, Tableau, or similar BI platforms, including semantic modeling and automated reporting.
  • Experience with cloud-based data warehouses or lakes (e.g., Redshift, BigQuery, Snowflake) and analytics engineering tools such as dbt is an advantage.
  • Excellent communication skills, with the ability to clearly explain insights to both technical and non-technical audiences.
  • A proactive mindset, high motivation, and genuine enthusiasm for product and data analytics.
  • Fluency in English.

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