Analytics Manager (Individual Contributor)

Analytics Manager (Individual Contributor)

Full-Time 66150 - 80850 £ / year (est.) Home office (partial)
Z

At a Glance

  • Tasks: Drive analytics innovation and shape the future of analytics at Zopa.
  • Company: Join a forward-thinking bank committed to shaping the future of analytics.
  • Benefits: Hybrid work model, flexibility to work abroad, and a supportive culture.
  • Other info: Diverse workplace with opportunities for personal and professional growth.
  • Why this job: Be a key player in transforming analytics with AI and modern tools.
  • Qualifications: Deep expertise in analytics, coding skills, and a passion for AI.

The predicted salary is between 66150 - 80850 £ per year.

  • Drive analytics-wide innovation, identifying practical opportunities created by AI, modern analytics tooling and evolving platform capabilities.
  • Help define and execute our strategy for semantic layers, self-service analytics and metric governance.
  • Raise technical standards across the analytics community, improving quality, consistency and scalability.
  • Partner with Product, Data, Engineering and Analytics leaders to shape the future direction of analytics at Zopa.
  • Coach and influence analysts and analytics leaders, helping build capability across the wider function.
  • Lead experimentation with emerging technologies and help turn promising ideas into scalable capabilities.
  • Own and evolve strategically important analytics products and reporting outputs, including senior leadership reporting and cross-functional metrics.
  • Help define and govern critical business concepts and metrics used across the organisation.
  • Influence platform, tooling and architectural decisions to maximise value for analytics users.
  • Act as a trusted technical and strategic advisor across the analytics organisation.

You've built deep expertise in analytics, BI, analytics engineering, data strategy or a related field, and understand how these disciplines fit together to create value.

  • Highly technical, with strong capability in coding, analytics tooling, data modelling and analytics architecture.

You're able to move comfortably between strategic discussions and technical implementation details.

  • You have a strong understanding of semantic layers (e. g DBT metricflow or Look ML), metric governance, self-service analytics and modern BI concepts, with a clear point of view on what good looks like.

DBT experience is a strong advantage.

  • Proven track record of influencing stakeholders at all levels and driving meaningful change without relying on formal authority.
  • An active explorer of emerging technologies and can identify practical opportunities to improve how teams work, access data and generate insight.
  • You have a deep personal interest in AI and a well-developed perspective on how it will transform analytics over the coming years.

Ideally, you've helped lead adoption of AI-enabled analytics capabilities or worked in an environment that is ahead of the curve.

  • You thrive in ambiguity and periods of rapid change, and are able to create clarity, alignment and direction even when the future is uncertain.
  • Equally comfortable shaping long-term strategy and getting hands-on to turn ideas into reality.
  • Naturally curious, pragmatic and outcome-focused, and enjoy helping others grow and raising the capability of teams around you.
  • Experience in financial services is helpful but not essential.

Analytics is changing rapidly.

AI is transforming how analysts work.

Organisations are changing how they think about metrics and self-service.

Modern data platforms are creating entirely new ways to generate insight and make decisions.

  • But no matter where you are, we'll make sure you've got everything you need to thrive, both in your work and home life, from day one.
  • Subject to having the right to work in the country of choice

At Zopa, we don't want to simply react to those changes-we want to shape them.

We're looking for a Senior Analytics Manager / Analytics Manager (IC) to help build the next generation of analytics capabilities across the bank.

This is an individual-contributor role with no direct people-management responsibility.

This is a rare opportunity to operate as a senior individual contributor with broad influence across an established analytics function.

You'll help us identify and exploit the opportunities created by AI, raise technical standards, and drive strategically important cross-functional analytics initiatives.

You will remain close enough to delivery to stay credible, personally leading high-impact analytics initiatives.

If you're excited by the idea of shaping the future of analytics we'd love to hear from you.

We value face-to-face collaboration and a good work-life balance.

This hybrid role requires you to come to our London office 2-3 days a week.

You'll also have the option of working from abroad for up to 120 days a year!

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.

Our approach to AI in interviews At Zopa, AI isn't something we're testing out - it's part of how we work every day.

As a proud partner of Jobs 2030, we're committed to building AI fluency across our workforce, and we expect Zopians to use AI as part of how they do their jobs.

Because of that, we want to be transparent about how we think about AI use during our hiring process.

Behavioural and competency-based interviews: please don't use AI.

These conversations are designed to understand you - your experiences, your judgment, and how you've approached real situations.

An AI-generated answer can't tell us that.

What it can do is get in the way of us finding out whether we're the right fit for each other.

#J-18808-Ljbffr

Analytics Manager (Individual Contributor) employer: Zopa Bank Limited

Zopa Bank Limited is an exceptional employer, offering a dynamic work environment where innovation meets collaboration. As a Tax Manager in the thriving FinTech sector, you'll benefit from a hybrid working model that promotes work-life balance, alongside opportunities for professional growth and development. Join a forward-thinking team that values your expertise and empowers you to make a significant impact in shaping tax processes within a rapidly evolving neobank.

Z

Contact Details:

Zopa Bank Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Analytics Manager (Individual Contributor)

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Zopa Bank Limited!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analytics Manager (Individual Contributor) at Zopa Bank Limited.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Zopa Bank Limited.

Apply Directly through Our Website

When you find a suitable opening like Analytics Manager (Individual Contributor) at Zopa Bank Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Analytics Manager (Individual Contributor)

Analytics Innovation
AI Integration
Modern Analytics Tooling
Semantic Layers
Self-Service Analytics
Metric Governance
Technical Standards Improvement

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Zopa Bank Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Zopa Bank Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Zopa Bank Limited

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Zopa Bank Limited!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.