Senior Product Analyst, Account Details & Data Insights

Senior Product Analyst, Account Details & Data Insights

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Limelight Health

At a Glance

  • Tasks: Analyse product data to optimise features and enhance user experience for global customers.
  • Company: Join Wise, a leading tech company revolutionising how money moves worldwide.
  • Benefits: Competitive salary, inclusive culture, and opportunities for career growth.
  • Other info: Diverse and inclusive team with a focus on innovation.
  • Why this job: Make a real impact on how people manage their money globally.
  • Qualifications: Expert SQL skills and strong analytical abilities required.

The predicted salary is between 60000 - 80000 £ per year.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role.

Company Description

ABOUT WISE
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their life easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.

Job Description

THE ROLE
We’re looking for a Senior Product Analyst to join the Account Details space, our engine that powers the customers account. The Account Details Team helps customers make use of their bank details for their everyday needs across the globe. Focusing on both personal and business customers, the aim of the product is to ensure anyone can receive money in the cheapest, fastest, safest and most convenient way possible. Our main priorities for the upcoming year are to:

  • Increase our coverage and localise our experience
  • Optimise on simplicity and discoverability
  • Build towards becoming a customers main account

As the analyst for the role, you’ll have the amazing opportunity of optimising our current product to fit our customers’ evolving mental model as well as build new features that can help us close the gap! To do so you’ll be partnering closely with the Product Manager and Engineering Lead, driving the strategic direction, feature prioritization, and optimization of the entire product lifecycle – from initial concept to global scale.

What You’ll Be Doing

Strategy & Metrics
Own the Numbers: Define, track, and socialize the core KPIs and OKRs for your product.
Enable Data: Own necessary data logging and pipelines are built for accurate product tracking.
Drive Insights: Conduct deep-dive analysis to identify key opportunities, risks, and areas for optimization across the product funnel and influence decisions in your team through data.

Execution
Prioritize the Roadmap: Quantify the expected impact of potential features to help the Product Manager focus on the highest-value initiatives.

Partnership & Communication
Be the Expert: Translate complex analytical findings into clear, actionable recommendations for the Product Team and broader leadership/stakeholders.

What You’ll Bring

  • Expert-level SQL skills with experience querying, manipulating and transforming large, complex, and relational datasets into functional pipelines.
  • Experience designing and building automated data pipelines and transformations.
  • Strong product thinking skills with the ability to translate understanding customer needs into defining the right problem statements, success metrics, and opportunity sizing.
  • Strong understanding of statistical concepts that can ideally be leveraged through programming language (e.g. Python or R).
  • Exceptional ability to translate raw data into clear narratives, business insights with the use of BI tooling (Looker/Tableau/Power BI), and actionable product decisions for technical and non-technical audiences.

Nice To Have But Not Essential

  • Familiarity with launching new products or product lines (greenfield initiative).
  • Familiarity with the payment space - understanding customer personas across the globe and how they interact with their everyday banking needs.
  • Experience designing, launching, and analyzing A/B tests in a high-volume product environment to drive measurable feature improvements.

Please note we are not able to offer visa sponsorship for this level.

Additional Information
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

Senior Product Analyst, Account Details & Data Insights employer: Limelight Health

Wise is an exceptional employer that champions a diverse and inclusive work culture, empowering employees to contribute meaningfully to our mission of revolutionising global money management. With a focus on professional growth, team collaboration, and innovative problem-solving, we offer unique opportunities for career advancement in a dynamic environment that values every individual's input. Join us in building a future where financial transactions are seamless and accessible for everyone, everywhere.

Limelight Health

Contact Details:

Limelight Health Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Product Analyst, Account Details & Data Insights

Tip Number 1

Network like a pro! Reach out to current or former employees at Wise on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Prepare for the interview by diving deep into Wise's mission and values. Show us that you’re not just another candidate; you’re someone who truly aligns with what we stand for. Bring examples of how your skills can help us achieve our goals!

Tip Number 3

Practice your data storytelling! We want to see how you can turn complex data into clear insights. Use real-world examples from your past work to demonstrate your analytical prowess and how it can benefit Wise.

Tip Number 4

Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression. It shows us that you’re genuinely interested in the role and appreciate the opportunity to connect.

We think you need these skills to ace Senior Product Analyst, Account Details & Data Insights

SQL
Data Analysis
Data Pipeline Design
Statistical Concepts
Python
R
Business Intelligence Tools (Looker, Tableau, Power BI)

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your expert-level SQL skills and any experience you have with data pipelines. We want to see how you can turn complex datasets into actionable insights, so don’t hold back!

Tailor Your Application:Take a moment to customise your application for the Senior Product Analyst role. Use the job description as a guide to align your experiences with what we’re looking for. It shows us you’re genuinely interested!

Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand. Remember, we’re looking for someone who can translate complex data into clear narratives.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!

How to prepare for a job interview at Limelight Health

Know Your Numbers

As a Senior Product Analyst, you'll need to own the numbers. Brush up on your SQL skills and be ready to discuss how you've defined, tracked, and socialised KPIs in previous roles. Prepare examples of how your data insights have driven product decisions.

Showcase Your Analytical Skills

Be prepared to dive deep into your analytical process. Think about how you've conducted analyses to identify opportunities and risks in past projects. Bring along specific examples where your insights led to actionable recommendations for product teams.

Communicate Clearly

You’ll need to translate complex data into clear narratives. Practice explaining your findings in simple terms, as you might have to present to both technical and non-technical audiences. Use visual aids or examples from your experience with BI tools like Looker or Tableau.

Understand the Product Landscape

Familiarise yourself with Wise's mission and the payment space. Be ready to discuss how customer personas interact with banking needs globally. This will show your understanding of the market and how you can contribute to optimising the product for users.