or apply directly on Partnerize's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 15 days Partnerize's roles stay open a median of 16 days
- Reposted
- No
- Salary listed
- No 13% of Partnerize's roles list one
- Ghost-job risk at Partnerize
- low 1 stale, 0 reposted of 15 open
- Hiring momentum
- 26 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Partnerize's own greenhouse board since 2026-08-03. Full hiring picture for Partnerize.
About this role
As a Product Analyst at Partnerize, you will analyze complex behavioral and marketing datasets to derive actionable insights that inform product strategy and decision-making. Your role involves collaborating with various teams to define business metrics, measure product performance, and present findings that connect data to business impact. You will also engage in writing SQL queries, utilizing Python for data analysis, and building dashboards for data visualization.
- benefits
- 2/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Partnerize as an employer.
What you need
- 4–6+ years of experience as a Product Analyst, Data Analyst, Business Analyst, BI Analyst, Analytics Engineer, or similar role
- Advanced SQL skills, including joins, CTEs, window functions, aggregations, cohort analysis, and query optimization
- Strong hands-on experience with Python for data analysis, especially Pandas
- Experience working with analytical warehouses such as Snowflake, BigQuery, Redshift, or Databricks
- Experience building dashboards and self-service analytics in BI tools
- Ability to define business metrics, translate them into data logic, and validate their results
Nice to have
- Experience with NumPy, Jupyter notebooks, or visualization libraries
- Experience with A/B testing, impact measurement, forecasting, dbt, or semantic layers
What you get
- Competitive salary
- Generous benefits
- Flexible work environment
Worth weighing
- Hybrid work model may not suit everyone
- Role requires proactive engagement and comfort with ambiguity
- Focus on clickless discovery may involve working with less traditional data analysis approaches
Summarised from Partnerize's posting. Read the full original.
Listed by Partnerize on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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