Analytics Manager (BI)

Responsibilities

• Lead and develop a team of seven analysts, investing in their growth, setting high standards and building a culture of quality and accountability.
• Own prioritisation and stakeholder management across diverse, concurrent demand – making clear‑headed decisions about where to focus effort and communicating those decisions confidently to senior partners.
• Drive BI delivery across the bank – own the team’s roadmap, maintain and evolve our reporting infrastructure (including dbt models, Tableau dashboards and Python‑based automated MI packs), balancing short‑term delivery with longer‑term foundational work.
• Lead a strategic effort to address dashboard sprawl – building an approach that ensures dashboards are trusted, well‑governed, easy to find and compute‑cost efficient.
• Champion data quality and definition consistency, ensuring everything the team publishes can be relied upon by stakeholders.
• Partner with other analytics leads, analytics engineering and data engineering to design scalable, well‑governed BI solutions.

Shape the future

• Play a central role in building our semantic layer – a strategic initiative with full leadership backing – and making natural language querying a practical reality for analysts and stakeholders.
• Build and articulate a clear vision for what the BI team looks like in the future: the tools it uses, the products it builds and the value it delivers as the platform landscape continues to evolve.
• Stay ahead of rapid change in the BI space – from AI‑assisted analysis and interactive HTML dashboards to new platform capabilities – and translate these into a credible roadmap.
• Champion AI adoption within the team, actively experimenting with new tools and helping analysts build in new ways.
• Find resource‑efficient paths to move from the current world to the next, managing the transition without disrupting delivery.

Qualifications

• Leadership and people development – proven experience leading a BI or analytics team in a fast‑paced, data‑driven environment.
• Analytics experience – built experience across BI, analytics, product analytics or adjacent data disciplines and understand how these functions work together to create value.
• Business‑first mindset – think in outcomes and value, not just data and delivery. Ask “why does this matter?” before “how do we build it?”
• Stakeholder management – comfortable navigating competing demands, managing senior relationships and building trust across a diverse set of stakeholders.
• BI strategy – a clear point of view on what good looks like for a BI function, and able to articulate and sell that vision.
• Technical skills – fluency across SQL, Python and Tableau (or equivalent BI tooling).
• Innovation – actively explore emerging technologies and identify practical opportunities to improve how teams work, access data and generate insight.
• Modern BI tooling – experience with semantic layers, data modelling and modern BI approaches (e.g. dbt, Streamlit, LookML).
• Comfortable with ambiguity – thrive when the landscape is shifting and can help your team do the same.
• AI‑fluent – actively using AI tools and can point to concrete examples of how they’ve changed the way you operate; a track record of building or deploying AI‑powered data products is a strong advantage.
• Fintech or financial services experience is an advantage but not essential – curiosity and a willingness to get up to speed on credit concepts matters more.

Diversity Statement

Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.