Product Analyst

Reposted 4 Days Ago
Be an Early Applicant
Mississauga, ON, CAN
In-Office
Senior level
Information Technology • Professional Services • Software • Consulting
The Role
Drive data-informed product decisions through experimentation, cohort and funnel analyses, metric definition, and telemetry modeling. Partner with Product, UX, and Engineering to improve engagement, retention, and customer experience; translate analyses into actionable roadmap recommendations and mentor analytics practices.
Summary Generated by Built In

As a Product Analyst you will drive data informed product decisions by delivering actionable insights designing robust experiments and deeply understanding user behaviour You will partner closely with Product UX and Engineering to shape product strategy and improve customer experience across the security products

Key Responsibilities

  • Lead experimentation strategy Design execute and analyze AB tests and quasi experiments to evaluate product and feature impact on engagement retention and customer satisfaction
  • Drive product insights Conduct deep dive analyses on user journeys onboarding funnels feature adoption and retention cohorts to identify growth and optimization opportunities
  • Define and operationalize metrics Establish northstar metrics KPIs and guardrails ensure consistent definitions across teams and dashboards
  • Enable product decision making Translate complex analyses into clear actionable recommendations for product roadmaps and prioritization
  • Improve data foundations Partner with data engineering and platform teams to ensure high-quality telemetry scalable data models and reliable reporting layers
  • Leverage advanced analytics Apply statistical techniques segmentation cohort analysis regression causal inference to uncover drivers of user behavior and product performance
  • Collaborate cross functionally Work closely with Product Managers Designers and Engineers to embed analytics into the product development lifecycle
  • Mentor and elevate analytics practices Guide analysts on experimentation design metric definition and storytelling best practices
  • Communicate effectively Deliver clear compelling insights to stakeholders and leadership through dashboards presentations and narratives

Requirements
  • 5-8 years of experience in product analytics advanced analytics or data science with strong product focus
  • Strong experimentation expertise Handson experience designing and interpreting AB tests and quasi experimental methods e.g. difference indifferences matching
  • Advanced analytical skills Proficient in SQL and Python for data analysis strong foundation in statistics and hypothesis testing
  • Product analytics experience Deep understanding of user behavior analysis funnel optimization retention and feature adoption metrics
  • Data visualization storytelling Experience with BI tools such as Power BI Tableau or Looker to communicate insights effectively
  • Telemetry data modelling knowledge Experience working with event-based data and defining tracking for digital products
  • Business and product acumen Ability to connect data insights into product strategy and customer experience improvements
  • Strong communication and stakeholder management skills with the ability to influence decisions across teams
  • Bachelor’s or master’s degree in a quantitative field a plus Statistics Computer Science Engineering Mathematics or related

Skills

  • Mandatory Skills: ANSI-SQL, Python for DATA

Skills Required

  • 5-8 years of experience in product analytics, advanced analytics, or data science with strong product focus
  • Hands-on experience designing and interpreting A/B tests and quasi-experimental methods (difference-in-differences, matching)
  • Proficient in ANSI-SQL for data analysis
  • Proficient in Python for data analysis
  • Strong foundation in statistics and hypothesis testing
  • Deep understanding of user behavior analysis, funnel optimization, retention, and feature adoption metrics
  • Experience with BI tools such as Power BI, Tableau, or Looker for data visualization and storytelling
  • Experience working with event-based/telemetry data and defining tracking and data models
  • Ability to define northstar metrics, KPIs, and guardrails and operationalize consistent metric definitions
  • Strong communication and stakeholder management skills; ability to influence cross-functional decisions
  • Bachelor's or Master's degree in a quantitative field (Statistics, Computer Science, Engineering, Mathematics)
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The Company

What We Do

Maarut Inc. is a Canadian company specializing in IT services, technology staffing, and software development, dedicated to assisting businesses with digital transformation and solving business challenges through technology.

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