Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 and experience in building data products required.
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
Analityk Analityk Business Data Analyst (Remote) employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analityk Analityk Business Data Analyst (Remote)
✨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. It’s all about proving you can turn messy processes into clean data outputs.
✨Tip Number 3
Don’t shy away from asking questions during interviews. It shows you’re engaged and helps you understand if the role is right for you. Plus, it gives you a chance to demonstrate your knowledge of SQL and data models.
✨Tip Number 4
Apply through our website! We love seeing candidates who are proactive. It’s a great way to get noticed and show us you’re serious about landing that data product role.
We think you need these skills to ace Analityk Analityk Business Data Analyst (Remote)
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your SQL expertise and any experience you have with data models. We want to see that you can not only talk about data but also dive deep into it and make sense of messy processes.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate specs that are easy to understand and actionable. Show us you can communicate effectively with both technical and non-technical folks.
Demonstrate Ownership: We love candidates who take charge! Share examples of how you've owned data products from start to finish. Let us know how you’ve tackled challenges and delivered results without getting bogged down in theory.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
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.
✨Prepare Real-World Examples
Think of specific instances where you've gathered requirements from stakeholders and written specs that engineers could build from. Having concrete examples ready will demonstrate your experience and ability to manage backlogs effectively.
✨Showcase Your Stakeholder Management Skills
Be ready to talk about how you've successfully navigated challenging conversations with stakeholders. Highlight your ability to communicate complex data concepts to both technical and non-technical audiences, as this is crucial for the role.
✨Emphasise Pragmatic Execution
This role values action over theory, so be prepared to discuss how you've shipped products rather than just theorised about them. Share examples of how you’ve taken ownership of data products from discovery to delivery, showcasing your hands-on approach.