- Company Name
- ASOS.com
- Job Title
- Senior Product Analyst
- Job Description
-
**Job title**
Senior Product Analyst
**Role Summary**
Lead data‑driven decision making for digital product initiatives, partnering with Product Managers to define, measure, and optimize key product KPIs. Own end‑to‑end analytics for experiments, customer journey analysis, and statistical modeling to guide roadmap and improve conversion, engagement, and retention.
**Expectations**
- Deliver actionable insights that influence product strategy and roadmap priorities.
- Maintain ownership of core product metrics and continuously refine measurement frameworks.
- Communicate findings effectively to cross‑functional stakeholders and senior leadership.
- Champion a data‑informed culture, ensuring decisions are supported by rigorous evidence.
**Key Responsibilities**
- Define and evolve core product KPIs in collaboration with Product Managers.
- Conduct funnel, drop‑off, and cohort analyses to identify friction points in the customer journey.
- Design, launch, and analyze A/B tests and experiments; apply statistical methods (regression, hypothesis testing, confidence intervals).
- Build and maintain dashboards, reports, and visualisations (Tableau, Power BI, etc.) for technical and non‑technical audiences.
- Perform statistical modeling (predictive, clustering, behavioral) to uncover patterns, drivers of performance, and build forecasts.
- Translate analysis into clear recommendations for product roadmaps, design decisions, and feature prioritisation.
- Collaborate with experimentation and analytics platforms (Optimizely, Mixpanel, Amplitude, Adobe, etc.).
- Act as a thought partner to product leadership, proactively identifying opportunities to enhance customer experience and drive commercial outcomes.
**Required Skills**
- Strong quantitative background (maths, statistics, or STEM).
- Advanced SQL and Python (pandas, NumPy) for data extraction, transformation, and analysis.
- Proficiency with data visualisation tools (Tableau, Power BI).
- Experience designing and analysing A/B tests; solid grasp of statistical methodologies.
- Ability to build and apply simple statistical models for behavioural insights and forecasting.
- Familiarity with e‑commerce platforms and experimentation tools (Optimizely, Adobe Analytics, Mixpanel, Amplitude).
- Strong written and verbal communication; presenting insights to senior leadership.
- Detail‑oriented, self‑starter, capable of working independently in a fast‑paced environment.
**Required Education & Certifications**
- Bachelor’s degree (or higher) in Mathematics, Statistics, Engineering, Computer Science, or a related STEM field.
- Certifications in data analytics or statistics (e.g., Tableau Desktop Specialist, SQL certifications) are advantageous but not mandatory.