The Product Analytics Manager will lead the analytics practice for product teams, turning data into strategic insight. This role partners with product, engineering and marketing to define measurement, run experiments and inform roadmap decisions. The successful candidate will balance technical analytics skills with strong stakeholder communication to drive product growth and retention.
This job description outlines the core purpose, profile, duties and qualification expectations for hiring a Product Analytics Manager. It is designed for HR professionals, recruiters and staffing agencies seeking top candidates who can translate data into product-led outcomes.
Product Analytics Manager Job Profile
The Product Analytics Manager oversees product measurement, experimentation and behavioural analysis to support product-led growth. They establish analytics frameworks, maintain data quality and provide actionable insights to cross-functional teams.
This role requires a pragmatic mix of technical knowledge, product sense and stakeholder management. The manager will mentor junior analysts and champion data-driven decision-making across the organisation.
Product Analytics Manager Job Description
The Product Analytics Manager is responsible for designing and implementing measurement strategies that reflect product objectives. They work closely with product managers to define success metrics, track funnels, and identify opportunities to improve activation, engagement and retention. Regular reporting, dashboard development and ad hoc analysis are core responsibilities.
In addition to reporting, the manager leads A B testing and experimentation programmes. They design experiments, analyse results and translate findings into clear recommendations for product changes. The role also involves collaborating with data engineering to ensure event instrumentation and data pipelines are fit for purpose, and taking ownership of data quality and consistency.
Communication is essential. The manager must present insights to senior stakeholders, translate complex analysis into business language and influence roadmap priorities. They will hire, develop and guide a small analytics team, fostering a culture of curiosity and rigorous analysis.
Product Analytics Manager Duties and Responsibilities
- Define and own product analytics strategy, measurement plans and KPIs.
- Design, implement and maintain dashboards and self-service reporting for product teams.
- Create and run A B tests and controlled experiments to validate hypotheses.
- Analyse user behaviour, funnel performance and cohort metrics to identify improvement opportunities.
- Collaborate with product managers to translate analysis into product features and prioritised backlog items.
- Partner with data engineering to ensure correct event instrumentation and robust data pipelines.
- Ensure data quality, consistency and governance across product analytics assets.
- Communicate findings to cross-functional teams and senior leadership in a clear and actionable way.
- Recruit, mentor and develop analysts to build a high-performing analytics capability.
- Promote best practice around experimentation, causal inference and statistical rigour.
Product Analytics Manager Requirements and Qualifications
- Bachelor's or Master’s degree in Statistics, Mathematics, Economics, Computer Science or related discipline.
- 5+ years of experience in product analytics, data science or equivalent roles, with at least 2 years in a leadership position.
- Strong SQL skills and experience with modern analytics stacks and visualisation tools such as Looker, Tableau or Power BI.
- Proficiency in statistical methods, causal inference and A B testing design and analysis.
- Experience with event instrumentation and analytics platforms such as Snowflake, BigQuery, Segment or similar.
- Solid product intuition and experience working closely with product managers and engineers.
- Excellent communication skills, able to present technical findings to non-technical stakeholders.
- Experience in mentoring and developing analysts and building analytics processes.
- Strong problem-solving mindset and attention to data quality and governance.
- Ability to prioritise work in a fast-paced environment and drive cross-functional impact.
