At a Glance
- Tasks: Drive customer acquisition by analysing competitor pricing and creating impactful insights.
- Company: Join Wise, a leading fintech company focused on transparency and fairness.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real difference in how people manage their money with data-driven insights.
- Qualifications: Experience in product analytics, strong SQL skills, and excellent communication abilities.
The predicted salary is between 60000 - 80000 € per year.
We’re looking for a Senior Product Analyst to join Wise’s Competitive Intelligence (Comparison) mission: acquire new customers by demonstrating why Wise is the better choice. Comparison is one of the most effective ways to help customers understand the true cost of moving and managing money — by exposing hidden fees, making competitor pricing transparent, and helping people choose a fairer option. You’ll work closely with a cross‑functional product team and partner with Growth, Pricing, Marketing, and Compliance to turn competitor intelligence into scalable products, always‑on claims, and measurable acquisition impact.
Responsibilities
- Own the Competitive Intelligence analytical domain by building scalable price competitiveness tracking (Wise vs competitors, including promotional periods), and creating the frameworks and reporting that highlight situation‑based competitiveness and surface insights on where we can win (market selection, segment focus, product areas).
- Be a strategic partner on competitiveness: proactively translate pricing/competitor signals into clear, actionable insights tailored to the needs of Product, Growth, Pricing and Marketing, and influence prioritisation and follow‑through so the insights are adopted and drive measurable impact.
- Contribute to, own, create and track OKRs for the Competitive Intelligence/Comparison mission, keeping teams accountable through clear targets, progress tracking, and decision‑ready reporting.
- Own measurement & attribution for comparison‑led acquisition: define how we quantify incremental impact from comparison insights and claims across channels (Paid, CRM, SEO and beyond); partner with stakeholders to align on success metrics and controls; report performance clearly to senior audiences.
- Optimise user‑facing comparison tools across the Wise product suite: deepen understanding of conversion drivers, including “non‑cheapest‑path” users; improve performance via robust analysis, segmentation, and experimentation (A/B tests, holdouts, quasi‑experimental approaches where needed).
- Own optimisation data products and pipelines: identify what data and modeling needs to be collected and automated to build scalable comparison intelligence (including dbt models, metric layers, monitoring, and reliability frameworks).
Qualifications
- You have a background working in product analytics (pricing knowledge is a plus).
- End‑to‑end analytical ownership: you can frame ambiguous problems (e.g., “where do comparisons drive the most value?” / “how do we win non‑cheapest‑path users?”), define success metrics, and drive prioritisation from insight to recommendations and measurement plan.
- Strong SQL and analytics engineering fundamentals: you have advanced SQL skills and are comfortable building scalable datasets and definitions (e.g., dbt models, metric layers). You care about data quality, pipeline reliability, and building self‑serve reporting rather than one‑off analyses.
- Influential communication & stakeholder partnering: you can work effectively with cross‑functional partners (Product, Growth/SEO, Pricing, Engineering, Compliance, Marketing and Regional), communicate clearly, and use data to support decisions and trade‑offs.
- Experimentation & analytical judgement: you have experience running experiments (A/B tests or similar) and applying sound judgement in messy, real‑world data environments.
- Data visualisation & storytelling: you have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and can communicate insights in a clear, actionable way.
Senior Product Analyst - Competitive Intelligence employer: Dangote Industries Limited
Wise is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to make impactful decisions. As a Senior Product Analyst in Competitive Intelligence, you will have access to extensive growth opportunities, working alongside diverse teams to drive meaningful change in the financial landscape. With a focus on transparency and fairness, Wise not only values your contributions but also invests in your professional development, making it a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Analyst - Competitive Intelligence
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its competitors. Show us you know your stuff about Wise and how we stack up against others in the market.
✨Tip Number 3
Practice your storytelling skills. When discussing your experience, frame it in a way that highlights your impact and how you can help Wise achieve its goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are keen to join us directly.
We think you need these skills to ace Senior Product Analyst - Competitive Intelligence
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in product analytics and competitive intelligence. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Show Off Your SQL Skills:Since strong SQL skills are a must-have for this role, include specific examples of how you've used SQL in past projects. We love seeing candidates who can build scalable datasets and ensure data quality, so let us know how you’ve done that!
Communicate Clearly:Your ability to communicate insights effectively is key. When writing your application, focus on clarity and conciseness. Use data storytelling techniques to demonstrate how your insights have influenced decisions in previous roles.
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’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Dangote Industries Limited
✨Know Your Numbers
Brush up on your SQL skills and be ready to discuss how you've used data to drive decisions in previous roles. Be prepared to share specific examples of how your analytical insights have influenced product strategies or pricing decisions.
✨Understand the Competitive Landscape
Research Wise's competitors and their pricing strategies. Be ready to discuss how you would approach building a competitive intelligence framework and what metrics you think are crucial for tracking price competitiveness.
✨Showcase Your Communication Skills
Prepare to demonstrate how you've effectively communicated complex data insights to cross-functional teams. Think of examples where your storytelling with data led to actionable outcomes, especially in collaboration with marketing or product teams.
✨Experimentation Mindset
Be ready to talk about your experience with A/B testing and other experimental methods. Share specific instances where your analytical judgement helped optimise user-facing tools or improved conversion rates, and how you measured success.
