Company
Product Analyst
About us
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday.
We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific.
Data at GoCardless
You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.
We’re a large team with an extensive remit and expect every member to work with initiative and be driven, holding each other accountable and to a high standard. Joining our team, you’ll work in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack.
You will enjoy being an analyst at GoCardless if:
- You’re looking to champion a great data culture within GC and in the wider data community;
- You enjoy collaborating and learning from people from various backgrounds and experiences;
- You want to feel proud of the work you’re doing and its impact on real customers.
Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Vertex, Python, Looker, Google Cloud Platform, dbt, Airflow and Jupyter amongst others.
You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team.
The Role
At GoCardless we use experimentation to test product changes to directly drive user acquisition, expansion, conversion and retention through continuous discovery and experimentation. As part of this role, you will be working with cross functional teams of product managers, designers, and engineers and analysts. You will be working on testing changes to our core product to increase engagement of our users to accelerate revenue. Your insights will be turned into actions as your expertise helps drive the future of GoCardless.
What excites you
- Work closely with Product Managers and Product Leaders to influence the roadmap for product & growth teams through data-led insights and recommendations
- Owning and iterating on experiments to generate user insight and drive business metrics, allowing the team to quickly take action on business opportunities.
- Define how we quantitatively evaluate success, setting KPIs, designing tracking to measure what really matters, delving into the leading indicators of user behaviour
- Influence the organisation to increase Product Data coverage and implement user tracking best practices - acting as a mentor to guide other members of the organisation to become data driven
- Build models of user-segmentation, customer lifetime value etc in order to inform strategic product & commercial decisions
- Continuously innovate on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker), Tracking (Amplitude), Automation (Python), AI (Gemini)
What excites us
- You have a background working in similar fast paced product-driven teams and are great at communicating insights to a range of audiences, including senior stakeholders, to drive data-informed product decisions
- You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of a product
- You have extensive experience owning and developing experiment processes, including running A/B tests, and have a very strong understanding of testing and experimental design