Product Analyst
Mozilor
Full Time3+ yearsPosted 9 days ago
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Overview
Position Type
Full Time
Experience
3+ years
Job Description
Roles and Responsibilities:
- Analyse and interpret SaaS product and growth metrics—including activation, conversion, retention, churn, expansion, ARPU, LTV, and funnels—to inform product, growth, and revenue decisions.
- Partner with Product Managers to define success metrics and evaluate feature launches and roadmap initiatives.
- Proactively identify trends, anomalies, and opportunities in product and business data, and surface actionable insights to stakeholders.
- Support experimentation and continuous improvement initiatives (A/B tests, feature rollouts, UX changes) through analysis and clear recommendations.
- Own analysis and insights using product analytics tools such as Mixpanel or Amplitude.
- Build, own, and maintain dashboards and reports in BI tools (e.g., Power BI, Looker Studio) for Product, Growth, and Finance teams.
- Use GA4 and tools like Microsoft Clarity to complement product analytics with acquisition and qualitative behavioural insights.
- Ensure product tracking is consistent by collaborating with Product and Engineering on event definitions, taxonomy, and validation.
- Collaborate closely with the Data Engineering team on the definition, retrieval, and presentation of data, ensuring it is relevant, accurate, and aligned with business needs.
Required Skills & Experience
- 3–6 years of experience as a Product Analyst, Data Analyst, or similar role in a B2B SaaS or product-led company.
- Strong understanding of SaaS and growth metrics (funnels, cohorts, retention, churn, LTV, subscription billing and revenue metrics).
- Hands-on experience with Mixpanel or Amplitude.
- Familiarity with GA4 and qualitative/UX analytics tools such as Microsoft Clarity.
- Strong SQL skills for analysis (joins, aggregations, CTEs).
- Experience with BI or reporting tools (e.g., Looker, Power BI, Metabase, Tableau).
- Excellent communication skills and ability to influence decisions with data.
Nice to Have
- Experience supporting A/B testing and experimentation frameworks.
- Experience with Python for automation, transformation, or API integrations.
- Knowledge of data validation frameworks and monitoring tools.
- Experience working with privacy, consent, or compliance-focused products.