Lead Analyst IC3 Data Platform

Lead Data Analyst (IC3) - Data Platform

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:

Were looking for a Lead Data Analyst to help shape how Wise invests in and improves its data platforms. Youll work across our Data Platform covering the infrastructure that moves and stores our data through to analytics machine learning and AI.

Theres scope here to establish how we measure the value of these platforms and use that understanding to influence what we build next. Working closely with engineering and product leads youll help us understand where investment is paying off and where a different approach would make a bigger difference.

This is a hands-on role. Youll build the datasets and models behind your recommendations taking ownership of analytical work from the initial question through to the decisions it supports. We want someone who enjoys understanding how systems work and can connect that technical detail to what matters for the people using them.

How youll contribute:

• Work with our teams to identify the questions that matter agree how to measure success and help prioritise investment.

• Lead analytical projects choosing an approach that fits the problem and carrying the work through to recommendations teams can use.

• Build and maintain the data pipelines and models that make your analysis reliable and repeatable.

• Bring an analytical perspective to engineering and product discussions helping colleagues understand the evidence and the trade-offs behind a decision.

• Share your methods and knowledge so other analysts and engineers can build on your work.

Qualifications :

Technical Expectations:

• 6 years of commercial experience in a product-led environment

• Proficient in SQL and familiar with data visualization tools such as Looker Superset PowerBI or Tableau

• Experience in automation and building data pipelines and working with tools like DBT and Airflow for ETL processes.

• Skilled in using REST APIs to develop and manage data integrations

Soft Skills:

• Critical thinking: Youre comfortable working through an open-ended question challenging assumptions and deciding what evidence would help answer it.

• Influence: You can explain complex findings clearly and build trust with people who bring different technical and business perspectives.

• Curiosity and ownership: You want to understand how things work follow a problem through and take responsibility for making your analysis useful.

Additional Information :

Why Should You Join Our Team

Our platforms support analysts analytics engineers and data scientists across Wise. Youll have the opportunity to improve their day-to-day work by helping us understand what they need from our tools and services and where changes would make the biggest difference. Your work can help data professionals across the business spend less time working around problems and more time using data to support their teams.

The breadth of the role gives you room to develop your technical understanding while exercising your judgement as an analyst. Youll work alongside engineers and specialists across the data group with independence in how you approach your work and colleagues to help you get into unfamiliar areas.

For everyone everywhere. Were people building money without borders  without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

Were 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 its like to work at Wise visit .

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Remote Work :

No

Employment Type :

Full-time