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Jenna Burke

Sample profile

Analytics Manager at Google · Product analytics

Works at
Google
Location
Montreal, QC · ET (UTC-5)
Experience
11+ years experience
Education
Queen's University
Languages
English, French

Overview

11 years in data science and analytics, the last 4 at Google, where I lead the product analytics team. Replaced 28 hand-built dashboards with one metrics layer people trust. Before that: BMO and Amazon. I tinker with 3D printers.

Good reasons to reach out
  • Advice on product analytics
  • Working sessions on dbt
  • Questions about product analytics
Please don't message about
  • Courses and coaching offers
  • Agency or outsourcing pitches
  • Unpaid work or spec projects

Answers in batches on Fridays

Skills
PythonAmplitudefunnel analysisdbtSQLTableau
AdvisingOpen to advising
closes in 3 months

Happy to advise analysts moving into data science on product analytics

Topics
product analytics, Amplitude, SQL
Format
Calls
Terms
Paid
Capacity
One advisory role at a time
Best for
Teams scaling past 50 people

11 years of product analytics. Can review plans, decks and hiring loops.

Montreal, QC · remote OKfunnel analysistableauamplitude

Experience

  1. Analytics Manager
    Jun 2022 - Present
    Google · 4 yr 5 mo · Full-time · Montreal, QC
    • Built the product analytics models now used in 8 product decisions a quarter.
    • Taught SQL to 178 non-analysts.
    • Replaced 35 hand-built dashboards with one metrics layer people trust.
  2. Data Scientist
    Jan 2020 - Jun 2022
    BMO · 2 yr 5 mo · Full-time · Montreal, QC
    • Wrote the metric definitions the leadership team reviews every week.
    • Replaced 35 hand-built dashboards with one metrics layer people trust.
  3. Data Analyst
    Oct 2016 - Jan 2020
    Amazon · 3 yr 3 mo · Full-time · Montreal, QC
    • Replaced 38 hand-built dashboards with one metrics layer people trust.
  4. Data Analyst
    Oct 2015 - Oct 2016
    Thomson Reuters · 1 yr · Full-time · Montreal, QC
    • Taught SQL to 105 non-analysts.

Projects

Conference talk: lessons from product analytics
2022

What went wrong and what worked while scaling product analytics.

References

No references yet.

Education

  1. Queen's University
    BCom, Economics
    2010 - 2014

Details

Compensation expectations
What they are targeting for their next role.
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Direct contact details
Direct email and a scheduling link.
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