Product Analyst

Product Analyst

Full-Time 40000 - 50000 € / year (est.) No home office possible
Deepstreamtech

At a Glance

  • Tasks: Generate insights from data to drive product improvements and support decision-making.
  • Company: Join a dynamic fintech company focused on innovation and customer experience.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative culture with opportunities to influence product strategy and outcomes.
  • Why this job: Make a real impact by turning data into actionable insights in a fast-paced environment.
  • Qualifications: Strong SQL skills, experience with BI tools, and a passion for data analysis.

The predicted salary is between 40000 - 50000 € per year.

Requirements

  • This role will suit someone who enjoys owning metrics end-to-end, balancing customer experience with commercial performance, and working across teams to drive meaningful outcomes.
  • Strong SQL skills and experience working with data.
  • Experience with BI tools such as Tableau, Looker or Power BI; Python is a bonus.
  • Experience in a data-led environment such as fintech, banking, consulting or a high-growth start-up.
  • Strong analytical and problem-solving skills with attention to detail.
  • Comfortable turning data into clear, actionable insight.
  • Able to communicate findings clearly to both technical and non-technical audiences.
  • Willing to ask questions, seek feedback and continuously improve.
  • Able to work effectively in cross-functional teams.

Please note - no candidate will meet every single desired qualification. If your experience looks a little different from what we’ve identified and you think you can bring value to the role, we’d love to learn more about you!

What the job involves

We are currently looking for mid-level Product Analysts (level 10) to join our UPL, CRM, AI and Mobile App product tribes. Your role is to be the key person generating the insight that helps us to make data-driven decisions to improve our product.

While the core role is consistent, each tribe offers a different problem space and stage of maturity:

  • Unsecured Personal Loans (UPL) Tribe (Established / Optimisation & Growth): Focused on accelerating growth in a well-established, high-performing product. The role centres on optimising the lending funnel, improving conversion and balancing trade-offs across risk and commercial performance. Best suited to someone commercially minded who enjoys refining mature products, driving incremental gains and working on high-visibility, revenue-critical problems.
  • CRM (Evolving / High Impact): We’re investing in CRM analytics to help us move from campaign-led execution to a more customer-led strategy. With over 1.7 million customers, this role will play a key part in shaping how we target audiences, measure performance, and understand the true value of our communications. You’ll help bring consistency, working across CRM, Product and Marketing to deliver insight that drives better customer outcomes. It’s an opportunity to join at an early stage and have real influence on how this capability evolves. This role will suit someone who enjoys turning data into practical insight, is curious about customer behaviour, and is comfortable working in a fast-paced environment where they can drive real customer impact.
  • Mobile App Tribe (Platform Ownership / Growth & Commercial Impact): The mobile app is how customers experience Zopa, from onboarding to managing their money and discovering new products. This role owns the app as a horizontal platform, while also being accountable for key commercial outcomes such as in-app conversion and product adoption. You’ll define and track metrics, identify opportunities to improve performance, and drive changes that deliver both customer value and measurable business impact.

Support Product, Engineering and other stakeholders with analysis to inform product decisions. Work with existing metrics and support improvements to how we measure product performance. Analyse datasets to identify trends and highlight areas for further investigation. Break down problems into clear analytical approaches, with guidance where needed. Support the design and analysis of experiments to test product changes. Build dashboards and reports to track performance and enable decision-making. Deliver deep-dives and ad hoc analysis to answer business questions. Communicate insights clearly to a range of stakeholders. Contribute to analytical projects, taking ownership of defined pieces of work.

Product Analyst employer: Deepstreamtech

At Zopa, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Product Analyst, you'll have the opportunity to work in dynamic product tribes, driving impactful insights that shape our customer experience while enjoying a supportive environment that encourages professional growth and continuous learning. With a focus on data-driven decision-making and a commitment to employee development, Zopa offers a unique chance to make a meaningful impact in the fintech space.

Deepstreamtech

Contact Detail:

Deepstreamtech Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Product Analyst

Tip Number 1

Network like a pro! Reach out to folks in your desired industry, especially those in fintech or high-growth start-ups. A friendly chat can lead to insider info about job openings and even referrals.

Tip Number 2

Show off your skills! If you’ve got strong SQL or experience with BI tools, consider creating a mini-project or dashboard to showcase your analytical prowess. Share it on LinkedIn or during interviews to impress potential employers.

Tip Number 3

Prepare for the interview by practising how to communicate your insights clearly. Use examples from your past experiences where you turned data into actionable insights. This will help you connect with both technical and non-technical audiences.

Tip Number 4

Don’t hesitate to apply through our website! Even if you don’t tick every box in the job description, we value diverse experiences. If you think you can bring something unique to the table, we want to hear from you!

We think you need these skills to ace Product Analyst

SQL
Business Intelligence (BI) tools
Tableau
Looker
Power BI
Python
Analytical Skills

Some tips for your application 🫡

Show Off Your SQL Skills:Make sure to highlight your SQL skills in your application. We love candidates who can own metrics end-to-end, so share any relevant projects or experiences where you've used SQL to drive insights.

Tailor Your Experience:When applying, tailor your experience to match the job description. If you've worked in fintech, banking, or a high-growth start-up, let us know how that experience has shaped your analytical skills and problem-solving abilities.

Communicate Clearly:We value clear communication, so make sure your application reflects that. Whether you're explaining your past roles or your approach to data analysis, keep it straightforward and accessible for both technical and non-technical audiences.

Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to learn more about you!

How to prepare for a job interview at Deepstreamtech

Know Your Metrics

As a Product Analyst, you'll be owning metrics end-to-end. Brush up on key performance indicators relevant to the role and be ready to discuss how you've used data to drive decisions in past experiences. Show them you can balance customer experience with commercial performance!

Showcase Your SQL Skills

Strong SQL skills are a must for this position. Prepare by practising common SQL queries and be ready to demonstrate your ability to extract and manipulate data. You might even want to bring examples of how you've used SQL in previous roles to solve problems or improve processes.

Communicate Clearly

You'll need to communicate findings to both technical and non-technical audiences. Practice explaining complex data insights in simple terms. Think about how you can convey your analytical thought process clearly and concisely during the interview.

Be Curious and Ask Questions

Demonstrate your willingness to learn and improve by asking insightful questions about the company’s data practices and product strategies. This shows that you're not just interested in the role but also in contributing to the team’s success and growth.