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- Tasks: Own 1-2 data products, transforming messy processes into clean data outputs.
- Company: Dynamic fintech company focused on pragmatic execution and innovation.
- Benefits: Competitive day rate, hybrid work model, and immediate start.
- Other info: Ideal for those who thrive in a fast-paced, collaborative environment.
- Why this job: Make a real impact by turning complex data into actionable insights.
- Qualifications: Strong SQL skills, experience in data product development, and excellent stakeholder management.
Contract Data Product Manager / Data Product Owner / Business Analyst
London (Hybrid) 6 Months Immediate Start
You'll own 1–2 data products end-to-end, working directly with a ring-fenced engineering team to turn messy business processes into clean, usable data outputs. Not a classic PM who's learned some data. Someone who grew up in data — knows SQL, understands schemas, can read a data model — but has matured into owning the product / business analyst side. Requirements, specs, stakeholder management, backlog.
The non-negotiables in plain terms:
- Can sit with a messy business process and translate it into a clean data model
- Writes specs that engineers can actually build from
- Comfortable challenging stakeholders without being difficult
- Ships things. Doesn't theorise.
What you'll be doing:
- Taking ownership of 1–2 data products from discovery through to delivery
- Mapping complex business processes and translating them into logical data models
- Gathering requirements from stakeholders across the business and writing specs engineering teams can actually build from
- Managing backlogs and sprint planning with a dedicated engineering team
- Collaborating across data-producing and consuming teams to align definitions and validate outputs
What you'll need:
- Strong SQL — you can read and interrogate data models, not just talk about them
- Experience designing logical or semantic layer data models
- A track record of building data products — APIs, data outputs, operational feeds — not just dashboards
- Excellent stakeholder management across technical and non-technical audiences
- The ability to map a complex, fragmented process and make it make sense
- Financial services or fintech experience preferred; lending or credit a plus
What the role isn't:
It's not for someone who produces PowerPoints and facilitates workshops. The client values pragmatic execution, low ego, and people who get stuck in. If your default is to over-engineer or wait for perfect information, this probably isn't the right fit.
The detail:
- 6-month contract
- London hybrid — some office presence required
- Immediate start (May 2026)
- Competitive day rate
Business Data Analyst employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Data Analyst
✨Tip Number 1
Get your networking game on! Reach out to people in the industry, especially those who work in data roles. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of data products or projects, make sure to highlight them in conversations. Real examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling knowledge. Be ready to discuss how you’ve tackled messy business processes and turned them into clean data outputs.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can give you a better chance of landing that dream role.
We think you need these skills to ace Business Data Analyst
Some tips for your application 🫡
Show Your Data Passion: When you're writing your application, let your love for data shine through! We want to see how you've grown in the data world and how you can turn messy processes into clean outputs. Share specific examples that highlight your journey.
Be Clear and Concise: We appreciate straightforward communication, so keep your application clear and to the point. Avoid jargon and focus on how your skills match the role. Remember, we’re looking for someone who can write specs engineers can actually build from!
Highlight Stakeholder Management Skills: Since you'll be working with various stakeholders, make sure to showcase your experience in managing relationships. Talk about times when you’ve successfully navigated complex discussions and how you’ve challenged ideas without being difficult.
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 it gets into the right hands. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Cognify Search
✨Know Your Data Inside Out
Make sure you brush up on your SQL skills and understand data models thoroughly. Be prepared to discuss how you've previously translated messy business processes into clean data outputs. This will show that you’re not just familiar with data but can actually own the product side of things.
✨Speak Their Language
Familiarise yourself with the specific terminology used in the financial services or fintech sectors. When discussing your experience, use examples that resonate with the role's requirements, especially around stakeholder management and backlog prioritisation. This will help you connect with the interviewers.
✨Showcase Your Pragmatic Approach
Prepare to share examples of how you've shipped products rather than just theorised about them. Highlight instances where you’ve taken ownership of a project from discovery to delivery, demonstrating your ability to get stuck in and deliver results without over-engineering.
✨Engage with Stakeholders Effectively
Think of scenarios where you’ve successfully challenged stakeholders while maintaining a positive relationship. Be ready to discuss how you gather requirements and write specs that engineers can build from, as this is crucial for the role. Show that you can balance assertiveness with collaboration.