Product Analyst
3 days ago
Are you a talented & brilliant
Product Analyst?
Then
YOU
are exactly whom we
NEED
About the Role
We are looking for a Product Analyst who will play a key role in helping us make data-driven product decisions. You'll run experiments in GrowthBook, measure the success and failure of features, and work with a team of data analysts to deliver insights that guide business and product strategy.
What You'll Do
Run Experiments
- Set up, monitor, and analyse A/B tests and rollouts using GrowthBook.
- Ensure tests are designed correctly with clear success metrics and guardrails.
- Experience with feature flagging and experimentation workflows.
Measure Product Success
- Define and track feature success metrics (adoption, activation, retention, engagement, monetization).
- Analyse post-launch performance to determine if a feature met its goals.
- Set up product analytics tools and dashboard to measure product KPIs
Reporting, Analytics & Dashboards
- Build and maintain reporting pipelines to deliver Funder reports (impact, reach, accountability), internal analytics (usage, trends), Operations dashboards (real-time decision support).
- Design and implement self-service data models in BI tools (Looker Studio or similar).
- Translate business and M&E requirements into data transformations, KPIs, and dashboards.
- Ensure all reports are accurate, consistent, and refresh reliably
Data Modelling & Transformation
- Develop reusable data models and marts from raw data sources.
- Apply best practices in SQL or equivalent frameworks for transformations.
- Standardize metric definitions and calculations across all reporting layers.
Enable the Team
- Product Team - Build dashboards and reports in Looker to make product metrics accessible.
- Operations team - Work with Data analyst to make operational dashboard effective and useful for the operations team.
What We're Looking For
- 4+ years of experience in product/growth analytics at a SaaS, consumer tech, or e-commerce company.
- Strong SQL skills, with ability to query and analyse large datasets.
- Comfort with Python for deeper analysis or statistical validation.
- Hands-on experience running experiments in GrowthBook (or similar platforms like Optimizely, Amplitude Experiment, Google Optimize).
- Strong understanding of A/B testing fundamentals: control/treatment setup, significance testing, guardrail metrics.
- Exposure to product analytics tools (Amplitude, Mixpanel, GA4, Heap, etc.).
- Clear communicator who can explain data findings to non-technical stakeholders.
To apply:
Please send your CV and cover letter to
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