Senior Product Data Analyst: Experiments & Insights

Mistplay

Montreal (administrative region)

On-site

CAD 80,000 - 105,000

Full time

8 days ago
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Job summary

Mistplay is seeking a Senior Data Analyst I, Product within its Data team in Montreal. You will drive analytics strategy, define KPIs, and build automated dashboards to inform the release of new product features and engagement strategies.

You will collaborate with Product, Lifecycle, Marketing, and Engineering to plan and analyze A/B tests, analyze funnel and cohorts, and translate complex data into clear insights for diverse stakeholders across the company.

Qualifications

  • 4+ years of quantitative analysis experience, preferably in tech.
  • Experience with large data sets and distributed computing.
  • Fluency in SQL and data modeling.
  • Familiarity with cloud data technologies (AWS, Azure, Databricks).
  • Experience with A/B testing and inferential statistics concepts (significance, power, CIs).
  • Proven ability to communicate complex analyses to broad audiences.
  • Proficiency with Tableau or BI tools.

Responsibilities

  • Drive analytics strategy for Mistplay’s product by analyzing funnels, cohorts and user behavior to identify opportunities.
  • Define KPIs and build automated dashboards/reports to enable data-driven decisions.
  • Design, run and analyze multivariate product experiments to grow engagement and features.
  • Collaborate with data, product, marketing, and engineering stakeholders to scope projects and mitigate risks.
  • Plan and analyze A/B tests to inform product releases and feature improvements.

Skills

SQL fluency
Python for stats
AB testing
Data storytelling
Statistical theory
Big data
Distributed computing

Education

Quantitative degree

Tools

Tableau
SQL BI tools
Hive/Hadoop
Databricks
Excel

Job description

Mistplay is seeking a Senior Data Analyst I, Product within its Data team in Montreal. You will drive analytics strategy, define KPIs, and build automated dashboards to inform the release of new product features and engagement strategies.

You will collaborate with Product, Lifecycle, Marketing, and Engineering to plan and analyze A/B tests, analyze funnel and cohorts, and translate complex data into clear insights for diverse stakeholders across the company.

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