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 effective 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

Solid 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

#J-18808-Ljbffr

📌 Product Analyst (Ontario)
🏢 Maarut
📍 Ontario