At a Glance
- Tasks: Support data modelling and collaborate with teams to deliver impactful data solutions.
- Company: Join Jaja, a forward-thinking UK consumer finance business on a mission to simplify finance.
- Benefits: Competitive salary, flexible working, private medical cover, and generous annual leave.
- Other info: Remote role with excellent career growth opportunities in a dynamic environment.
- Why this job: Make a real impact in transforming the consumer finance industry with innovative tech.
- Qualifications: SQL knowledge, experience with data modelling, and strong collaboration skills.
The predicted salary is between 36000 - 60000 £ per year.
About Jaja
Our Mission: Empowering our customers to buy, borrow, and build—driven by tech, fuelled by data, and built for the future.
Our Company Values: Care Deeply, Adapt & Thrive, Challenge everything, Go for it! Own it, Make it Simple.
Jaja is an innovative UK based consumer finance business, leading initially with a digital credit card launched in 2018, and a pipeline of consumer finance solutions in the making. We are on a mission to redefine the consumer finance experience and liberate customers from needless complexity, wasted time and frustration. We will delight our customers – making the customer experience simpler, more enjoyable, more intelligent – treating customers fairly and giving them more control of their money.
Why Join Us?
This is a chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever. We have a collaborative team structure fuelled by an exciting mix of people, welcoming experienced people from the industry with both feet on the ground and tech‑savvy dreamers who pave the way for the new stuff. Come as you are and be yourself!
About The Role
Reporting into the Lead Analytics Engineer, the 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
This role is remote - The successful candidate must have the right to work in the UK.
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
- Potential for part time working around other/family commitments
- Pension contributions
- Bonus potential
- Private medical cover
- 25 days annual leave (FTE) plus UK bank holidays and your birthday off (with an additional day added for each full calendar year worked, up to a maximum of 30 days).
- 4x life insurance cover
- Employee assistance program
Analytics Engineer employer: JaJa Finance Ltd
At Jaja, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the consumer finance sector. Our dynamic work culture encourages personal growth and creativity, offering competitive salaries, flexible working arrangements, and generous leave policies, including your birthday off. Join us to make a meaningful impact while enjoying a supportive environment that values your unique contributions and fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Jaja. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your SQL prowess and data modelling skills. It’s a great way to demonstrate your capabilities beyond the usual interview questions.
✨Tip Number 3
Be ready to adapt! Jaja values those who can thrive in a fast-paced environment. Share examples of how you've tackled challenges and adapted to change in previous roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the Jaja team.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Show Your SQL Skills:Make sure to highlight your SQL knowledge in your application. We want to see your experience with writing performant queries, especially if you've worked with Snowflake. Don’t just say you know SQL—give us examples of how you've used it!
Be Collaborative:Since this role involves working closely with different teams, let us know about your collaboration skills. Share any experiences where you’ve successfully worked with stakeholders to deliver data solutions. We love a team player!
Keep It Simple:Remember our value of 'Make it Simple'. When writing your application, be clear and concise. Avoid jargon and make sure your passion for simplifying complex data processes shines through. We appreciate straightforward communication!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at JaJa Finance Ltd
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills, especially CTEs and window functions. Be ready to discuss how you've used these in past projects, as well as any specific challenges you've faced and how you overcame them.
✨Understand the Business Context
Familiarise yourself with Jaja's mission and values. Think about how your role as an Analytics Engineer can contribute to making the customer experience simpler and more enjoyable. Prepare examples of how you've collaborated with stakeholders in previous roles.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific problems you've solved in data modelling or analytics. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your attention to detail and proactive approach.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about the tech stack, team dynamics, or how they measure success in data operations. This not only shows your enthusiasm but also helps you gauge if Jaja is the right fit for you.
