Senior Product Analyst

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November 18

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Pion

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Marketing • Advertising • eCommerce

Pion is a company focused on youth marketing, specifically targeting Gen Z consumers. They offer a range of services, including verification solutions for student and military discounts, advertising across different media channels, and providing insights through research and events. Pion aims to help brands connect with the next generation of shoppers by leveraging unique first-party data. With services that include influencer marketing and experiential campaigns, Pion helps marketing teams engage and convert valuable consumer groups effectively.

201 - 500 employees

Founded 2005

🛍️ eCommerce

📋 Description

• Lead the strategic analytical agenda for the Squad, shaping OKRs, prioritising high-value work, and challenging assumptions to ensure data-driven decision making. • Proactively explore user behaviour and product performance to inform ideation, discovery, and roadmap direction. • Translate complex behaviour and business questions into testable hypotheses and guide experimentation design, execution, and interpretation. • Deliver clear, actionable insights through robust deep-dives, ad-hoc analysis, and ongoing product health reporting. • Ensure data integrity by advising on tracking requirements, maintaining monitoring and alerting, and enabling early detection of behavioural or feature shifts. • Champion a strong data culture by educating Squad members, advocating best-practice analytics, and sharing insights across the organisation.

🎯 Requirements

• Advanced SQL - You must be able to write complex, optimized queries (e.g., using window functions, CTEs, complex joins) to extract and manipulate data from large, complex datasets (e.g., Snowflake, BigQuery, Redshift). • Data Visualization & BI - Mastery of a modern data visualization tool (e.g., Count.io, Looker, Lightdash, or Metabase). You have a proven track record of building insightful, automated, and user-friendly dashboards for product and business stakeholders. • Product Analytics Platforms & Instrumentation - Familiarity with event-based product analytics tools (e.g., Amplitude, Mixpanel, Heap). A strong understanding of front-end and mobile analytics tracking design and instrumentation is highly desired, particularly with tools like Snowplow. • Experimentation & A/B Testing - Deep knowledge of experimental design. You will partner with Product Managers to advise on proper A/B/n test setup, define key primary and secondary metrics, and conduct the in-depth statistical analysis of results. Must have a strong understanding of statistical significance, confidence intervals, and hypothesis testing. • Product Analytics Frameworks - Expertise in applying analytical frameworks to understand user behavior, including funnel analysis, cohort analysis, user segmentation, and retention/churn analysis. • Data Team Collaboration - Proven experience working alongside Data Engineers and Analytics Engineers. Must understand the differences in their roles and how to partner with them effectively to define data requirements, influence pipeline design, and productionise analyses.

🏖️ Benefits

• 💰 Competitive salary. • 🌴 30 days annual leave, plus bank holidays. • 🏆 Accredited 'Great Place To Work’ company in three categories. • 🧠 Commitment to personal development and career growth, coaching workshops and progression plans. • 👩🏽‍💻Remote-first working environment. This means you’re not obligated to come into the office, you can choose the environment you think you excel best in. • 📅Flexible working hours (start between 8-10am and finish between 4:30-6:30pm). • ❤️ Focus on welfare. We offer a monthly wellness allowance, gym memberships, access to mental health first aiders, a health cash plan and more. • 🛍️ Access to incredible partnership discounts for the biggest brands in the world. Think Google, Apple, GymShark, Domino's, Uber and loads more! • 💻 £200 work from home set up allowance to put towards your at-home working space.