Product Analyst - Platform

Wise
London
11 months ago
Applications closed

Related Jobs

View all jobs

Product Data Analyst

Product Data Analyst

Product Data Analyst

Data Analyst

Data Analyst

Data Analyst

Company Description

Wise is on a mission to facilitate borderless transactions – instant, transparent, and eventually free. Our goal is to develop the first genuine multi-currency banking infrastructure, leveraging advanced technology solutions.

Job Description

The Platform Engineering Tribe:

We are the driving force behind Wise, making sure everything runs smoothly. We support our engineering teams so they innovate, build and ship great code quickly and confidently. Our expertise spans Data, Machine Learning, Incident and Risk Management, Hardware, and System Efficiency, all designed to foster an unparalleled Engineering Experience.

The Analytics Role:

As our second hire in this exciting space, you'll help shape the way we support our engineering teams. This role isn’t about finding technical solutions – we have awesome engineers for that. You will help refine our strategies, focusing on understanding user needs, mastering our data infrastructure, and leveraging metrics for impactful outcomes. Your influence will profoundly affect the trajectory and success of Wise’s mission.

About You:

Technical Skills:

Proficient in SQL and data visualization tools such as Looker, Superset, PowerBI, or Tableau.

Experienced in building and managing data pipelines using tools like DBT and Airflow.

Proficient in Python for data science, automation, or system integrations.

Soft Skills:

Curiosity:A desire to learn, an openness to new information, and the agility to revise opinions based on new evidence.

Strategic Influence:Exceptional capacity to build trust and influence across multidisciplinary teams without relying on authority, you can convey complex concepts clearly and engagingly to influence diverse audiences.

Adaptive Mindset:A commitment to ‘strong opinions, weakly held’—actively seeking out challenging perspectives and finding middle ground.

Why Should You Join Our Team?

At Wise, every day brings something new and exciting:

Diverse Creative Domains:You'll never be bored. With so many areas to explore, there's always something intriguing to dive you're a creative person, you'll love the opportunity to shape the domain and influence how we approach various challenges.

Full-Spectrum Growth:This role is perfect if you've already discovered your interests as a junior and are ready to push through in those areas while still experimenting with different aspects of the analytics function. You’ll get to experience a full stack of skills and a full spectrum of domains.

Balanced Independence and Support:Don’t worry—it’s not all on your shoulders. While you'll have the freedom to be fully independent where you want, you’ll also have access to a full team of cross-domain experts to support you when you need it

What will you be working on?

Behavioural Economics → Redefine Productivity -Investigate when engineers are most productive and create metrics that integrate system performance with developer satisfaction and work-life balance.

Data Science → LLMs for Incident Alerting:Leverage Large Language Models to analyse our thousands of post-mortems, refining our incident alerting systems with advanced natural language processing.

Data Engineering → Revolutionize ETL and KPI Tracking:Move beyond basic ETL processes by working with REST APIs, Airflow, and DBT to build efficient data pipelines and transform data. Develop and refine systems to automate and optimize key KPIs related to IT costs, providing actionable insights.

Your work will directly influence Wise’s success and trajectory. If you’re excited about advancing the boundaries of data and technology, apply now and be part of our future!

Benefits:

Competitive stock options in a profitable company.

Flexible working conditions tailored to support a balance between work and personal life.

Annual budget for personal and professional development.

Visa and relocation support for exceptional international candidates.

Commitment to Diversity:

Wise is dedicated to fostering a diverse and inclusive workplace. We strongly encourage applications from all backgrounds and are committed to providing equal opportunity in our employment practices.

If you are passionate about using your analytical skills to influence and improve IT operations within a leading international financial services company, apply now to join us at Wise!

Good Reads

State of our CI/CD pipeline () / ()

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.

If you want to find out more about what it's like to work at Wise visit .

Keep up to date with life at Wise by following us on and .

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.