Senior Analytics Engineer

Senior Analytics Engineer

Full-Time 60000 - 70000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Transform complex data into actionable insights and collaborate with diverse teams.
  • Company: Join Jaja, a fintech revolutionising consumer finance with smart tech.
  • Benefits: Competitive salary, bonus potential, private medical cover, and generous leave.
  • Other info: Dynamic environment with opportunities for personal and professional growth.
  • Why this job: Make a real impact in a fast-growing company changing the finance landscape.
  • Qualifications: Proficient in SQL, data modelling, and strong collaboration skills.

The predicted salary is between 60000 - 70000 £ per year.

Do you enjoy turning complex data into trusted, business-ready insights? Are you passionate about building robust data models, collaborating with stakeholders, and ensuring data is accurate, accessible, and fit for purpose? If you thrive in a fast-paced environment and want to play a key role in shaping the data foundations of a growing fintech, we'd love to hear from you.

Who we are

Jaja is a UK‑based consumer finance business with a simple mission: to empower customers to buy, borrow and build using smart tech, strong data, and clear design. We launched our digital credit card in 2018 and we’re continuing to grow, with new products and experiences in the pipeline. Our goal is to strip out unnecessary complexity and give people more control over their money — or as we put it, Make Simple. Our values guide how we work: Care Deeply. Adapt & Thrive. Challenge Everything. Go For It. Own It. Make It Simple. We’re scaling quickly, and there’s a lot of exciting change happening across the business.

About The Role

This role requires a hybrid skillset across data modelling and stakeholder management. The role works closely with tech teams and business teams to deliver and maintain data assets in Snowflake, adhering to best practice and ensuring business continuity. The ideal candidate will bring a proactive and collaborative approach to data operations with an interest in learning new skills to support the team’s delivery.

Key responsibilities

  • Supporting the delivery of new data models in a modern technology stack
  • Collaborating with stakeholders from different business areas to understand their requirements and provide appropriate solutions
  • Developing existing data models in line with product and engineering
  • Upholding the data governance standards
  • Supporting the BI and Analytics teams with key data sources required for their deliveries

About You

Essential

  • SQL knowledge (including CTEs and window functions) with experience of writing performant queries preferably in Snowflake
  • Using transformation tools, we use Coalesce.io but DBT would also set you up for success
  • Modelling structured and unstructured data
  • Ability to work in a fast-paced dynamic environment ideally in a start-up/ scale-up
  • Strong problem solving and attention to detail
  • Excellent communication and collaboration skills

Desired

  • Experience with data quality frameworks
  • Familiarity with finance, credit and associated reporting
  • Experience of working with Product and Engineering teams
  • Knowledge of testing standards and version control
  • Experience with orchestration

What's in it for you?

  • The chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever
  • Competitive salary
  • Pension contributions, including Salary Exchange facility
  • Annual bonus potential
  • Private medical cover provided by Vitality (optional benefit)
  • 25 days annual leave (FTE) plus UK bank holidays (with an additional day added for each full calendar year worked, up to a maximum of 30 days).
  • Your birthday off each year as an additional day's holiday
  • 4x life insurance cover
  • Access to our confidential Employee assistance programme

Senior Analytics Engineer employer: JaJa Finance Ltd

At JaJa Finance Ltd, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our UK-based team thrives in a fast-paced fintech environment where data-driven insights shape customer strategies and portfolio performance. We offer robust employee growth opportunities, a commitment to empowering our staff with smart technology, and a collaborative atmosphere that values clear communication and impactful decision-making.

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Contact Details:

JaJa Finance Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Analytics Engineer

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We think you need these skills to ace Senior Analytics Engineer

SQL
Snowflake
Data Modelling
Data Governance
Collaboration Skills
Problem-Solving Skills
Attention to Detail

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!

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Craft a Tailored Cover Letter:For a full-time role at JaJa Finance Ltd, 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 JaJa Finance Ltd. 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 JaJa Finance Ltd

✨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!

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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

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✨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.