Affiliate Analyst
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-03-10
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IT/Tech
Data Analyst, IT Business Analyst
A Little Bit About Us
Pion produces award‑winning technology for the biggest retailers on the planet, connecting them with the youth market. We’re constantly innovating to offer new solutions that satisfy our consumers, drive ROI for our clients, and create an empowering workplace for our employees.
Remote
Life at Pion – Where People ThriveAt Pion, we’re driven by big ideas and bold thinkers. Our purpose is clear – we make it possible to reward those who shape our world, from students to healthcare workers and more. That mission demands diverse perspectives and a culture where everyone belongs.
Our people power everything we do from innovation to collaboration. We’re here to break down barriers and build a space where everyone can grow, learn, and thrive because affordability starts with empowered people.
Check out our SHARP values to find out more about our culture.
Research shows that while men apply to jobs when they meet 60 % of the requirements, women and those in underrepresented groups tend to only apply when they tick every box. We don’t think you should have to tick every box. We value your uniqueness, and it goes without saying that all applications are welcome, even if you don’t think you fit the criteria.
Need any adjustments to support you with your application? Just drop us an email at
About the roleAs a result of our incredible success and growth, we are looking for an Affiliates Analyst to join us.
Responsibilities- Analyse and reconcile affiliate network data against internal metrics to identify tracking discrepancies, revenue leakage, and commission inaccuracies
- Conduct performance and commission audits, ensuring correct CPA rates, sub‑, and overall partner integrity
- Build models and insights to uncover revenue opportunities, optimise conversion paths, and recommend strategic upsells or product/technical fixes
- Develop and maintain reporting and dashboards covering key operational metrics such as decline rates, tracking‑error volume, and post‑transaction conversion
- Partner with Product, Engineering, and Data teams to diagnose tracking issues, build automated alerting and improve data quality
- Support Commercial teams with data‑driven business cases and predictive models to identify opportunities for affiliate growth and/or leakage recovery
- Strong analytical background working with affiliate marketing data or high‑volume transactional datasets
- Advanced SQL skills and solid experience using BI/visualisation tools such as Lightdash, Tableau, or Power BI
- Proven ability to reconcile and validate external affiliate performance data against internal transaction logs
- Solid understanding of affiliate tracking methods (S2S, cookies, sub‑IDs) and common causes of tracking failure
- Skilled in building predictive models and forecasting the impact of operational or partnership changes
- Experience with event‑level analytics platforms (e.g., Snowplow, GA360/Big Query, Adobe Analytics) and a proactive, investigative approach to identifying issues, risks, and opportunities
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 8‑10 am and finish between 4:30‑6:30 pm).
We 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, Gym Shark, Domino’s, Uber and loads more!
£200 work‑from‑home set‑up allowance to put towards your at‑home working space.
Additional InformationSenior level:
Mid‑Senior level.
Employment type:
Full‑time.
Job function:
Analyst.
Industries:
Technology, Information and Internet.
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