London, England, United Kingdom · On-site
$75k–$115k/yr
Company Description 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, spe…
Skills: SQL, Python, R, Snowflake, Looker
London, England, United Kingdom · Hybrid
$60k–$85k/yr
Company Description 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, spe…
Skills: SQL, Python, R, Dbt, Data Pipelines
London, England, United Kingdom · Hybrid
$60k–$85k/yr
Company Description 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, spe…
Skills: SQL, Python, R, Dbt, Data Pipelines
London, England, United Kingdom · On-site
$75k–$115k/yr
Company Description 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, spe…
Skills: Capacity Planning, Forecasting, Data Pipeline Management, Predictive Modeling, Cause and Effect Analysis
London, England, United Kingdom · On-site
$60k–$85k/yr
Company Description 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, spe…
Skills: Data Analysis, Payment Operations, Quality Assurance, AI Implementation, Data Pipeline Construction
London, England, United Kingdom · On-site
$60k–$85k/yr
Company Description 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, spe…
Skills: Data Analysis, Payment Operations, Quality Assurance, AI Implementation, Data Pipeline Construction
London, England, United Kingdom · On-site
Who We Are SiriusPoint is a specialty underwriter providing solutions to clients and brokers around the world. Bermuda-headquartered with offices in New York, London, Stockholm and other locations, we are listed on the N…
Skills: IT Leadership, Business Relationship Management, Reinsurance Operations, Stakeholder Management, Demand Management
London, England, United Kingdom · On-site
Who We Are SiriusPoint is a specialty underwriter providing solutions to clients and brokers around the world. Bermuda-headquartered with offices in New York, London, Stockholm and other locations, we are listed on the N…
Skills: Exposure Management, Catastrophe Modelling, SQL, Portfolio Risk Management, Data Aggregation
London, England, United Kingdom · Hybrid
Company Description Turner & Townsend is a global professional services company with over 22,000 people in more than 60 countries. Working with our clients across real estate, infrastructure, energy and natural resources…
Skills: ATS Administration, SmartRecruiters, System Configuration, Troubleshooting, HRIS Integration
London, England, United Kingdom · Hybrid
Location: London Weekly office requirement: Wednesdays – weekly Employment type: Permanent, employee, full-time Seniority level: Mid-Senior At GWI we're always looking for extraordinary people who thrive on making an ext…
Skills: Project Management, Client Relationship Management, Data Storytelling, Line Management, Data Analysis
London, England, United Kingdom · On-site
$98k–$130k/yr
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI…
Skills: Bare-metal Compute Infrastructure, GPU Cluster Delivery, InfiniBand, RoCE, Linux System Administration
London, England, United Kingdom · On-site
About Dwelly Dwelly — a UK-based, AI-enabled lettings and property management platform, that is growing through a roll-up strategy acquiring estate agencies. The company leverages two arms: i) acquiring existing letting …
Skills: Financial Reconciliation, Client Money Management, Data Migration, Ledger Assessment, Tax Reporting
London, England, United Kingdom · Hybrid
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring e…
Skills: Data Storytelling, SQL, Data Analysis, AI Tooling, Google Slides
London, England, United Kingdom · Hybrid
Make Your Mark at Ipsos! We are a leading global market and social research company, enabling organizations to make smarter, bolder, and faster decisions. Are you a detail-oriented project manager who thrives in a fast-p…
Skills: Quantitative Research Project Management, Qualitative Research Project Management, Budget Management, Microsoft Office, AI Application Knowledge
London, England, United Kingdom · Hybrid
Overview Chronograph was founded to bring next-generation technology to private capital markets. Through our suite of cloud-based analytics and data management solutions, we help many of the world's largest and most soph…
Skills: Enterprise Software Sales, Private Capital Markets, Lead Generation, Client Relationship Management, Negotiation
London, England, United Kingdom · On-site
$100k–$112k/yr
WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain cu…
Skills: Scala, Spark, Hadoop, Kubernetes, AWS
London, England, United Kingdom · Remote Solely
$100k–$130k/yr
Feeld is building a world where everyone is more intimately connected to each other and themselves. We’re an inclusive, human‑centred product with a distributed engineering team. We’re hiring a Staff Reliability Engineer…
Skills: TypeScript, Node.js, React Native, Incident Response, Observability
London, England, United Kingdom · Hybrid
Senior Technical Account Executive Hybrid working - London based We’re looking for a Senior Technical Account Executive to join the Client Services team in London, working directly with agencies, partners and clients in …
Skills: Programmatic Advertising, Client Relationship Management, Campaign Optimization, Data Analysis, KPI Strategy
London, England, United Kingdom · Hybrid
About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeu…
Skills: Order to Cash, S&OE Planning, Customer Relationship Management, Logistics Execution, Data Analysis
London, England, United Kingdom · Hybrid
Company Description We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re …
Skills: Python, Scala, PySpark, Spark, Azure Data Factory
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Drive data-driven decisions for customer operations by building analytical models for capacity planning and forecasting. Develop predictive models and causal inference approaches to optimize operational health and improve customer outcomes.
Requires 4+ years of experience in analytics with a strong quantitative background in statistics, maths, or a similar scientific field. Proficiency in SQL, Python/R, and data visualization tools is essential, along with experience in operational analytics.
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 lives 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.
More about our mission and what we offer.
We’re looking for a Lead Data Analyst who is passionate about our mission of Money Without Borders to partner with our operational teams to help drive data-driven decisions that would support our fast-growing product through scaling and optimising the team.
As a Lead Data Analyst, you’ll drive analytics within a dedicated customer operations model where we improve how we resolve complex and time‑sensitive customer issues—speed, reliability, quality, and end‑to‑end outcomes—and scale what works across our wider Operations teams
Most importantly, you’ll collaborate closely with your operational leads, as well as workforce management, quality, training, and knowledge management, to bring your insights into real change for our customers and help drive our mission!
Analytical Capacity Planning and Forecasting. Focus on building and refining analytical models for strategic capacity planning. Take ownership of forecasting efforts to align with business growth and operational demands.
Data Pipeline Ownership. Take ownership of data pipelines to maintain and improve data flow, ensuring reliability and accuracy of data that drives high-stakes servicing interventions at scale.
Predictive Modeling and Cause and Effect Analysis. Develop and implement robust models to predict outcomes and perform cause and effect analysis to identify key drivers, optimise processes, and enhance decision-making and strategic planning.
Causal Inference and Quasi-Experimental Analysis. Develop robust approaches to cause-and-effect analysis in an environment where A/B testing is potentially feasible - applying techniques such as difference-in-differences, regression discontinuity, or synthetic controls to evaluate the true impact of servicing interventions and confidently attribute outcomes without waiting for ideal conditions.
Strategic Support and Analysis. Provide critical insights to assess the operational health of the Total Services function, conduct in-depth cost analysis, and offer detailed analysis of operational metrics (including quality) to understand impacts on customer experiences.
Performance Tracking and Initiative Optimisation. Monitor and track the performance of key strategic initiatives, capitalising on optimisation opportunities to enhance operational outcomes.
KPI Implementation and Target Setting. Lead the development and implementation of the operations KPI tree and the target-setting framework, integrating these within reporting pipelines and strategic operations.
Stakeholder Collaboration and Process Standardisation. Collaborate closely with various stakeholders to standardise processes across forecasting, scheduling, and real-time operations, promoting continuous improvement and strategic alignment.
This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click here.
Quantitative Foundation. Ideally, you have a background in statistics, maths, physics, engineering, economics, or another scientific field. You apply first-principles thinking to break down complex operational problems.
A Statistical Mindset. You have a natural grasp of data logic. You don't just look at averages; you understand distributions, variance, and significance. You enjoy applying that rigor to messy, real-world operational data to separate signal from noise.
You have 4+ years of experience in analytics with demonstrated ability to approach complex problems with a strategic mindset, identifying innovative solutions that drive operational improvements.
You have a background working with operational team analytics including capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics, and experimentation.
You have experience working with complex data models in SQL (our warehouse is Snowflake) and analysing it using advanced SQL/Python/R
Able to demonstrate that you can tell a story and proactively give guidance on strategy based on insights
You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data
You have a bias to action - you identify what needs to be done and make it happen.
Prior experience in Operation domains
You have experience working with a WFM or Quality team.
You have experience working with WFM Systems
You have experience with forecasting techniques such as ARIMA, Holt-Winters, and other time series analysis methods
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 Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
160+ countries. 40+ currencies. Money for here, there and everywhere.
Wise is a global technology company, building the best way to move money around the world. With the Wise account people and businesses can hold 40+ currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new cross-border payments network that will one day power money without borders for everyone, everywhere. However you use the platform, Wise is on a mission to make your life easier and save you money. Co-founded by Kristo Käärmann and Taavet Hinrikus, Wise launched in 2011 under its original name TransferWise. It is one of the world’s fastest growing, profitable technology companies and is listed on the London Stock Exchange under the ticker, WISE. 16 million people and businesses use Wise globally, which processes £9 billion in cross-border transactions every month, saving customers around £1.5 billion a year. For customer queries: Please note that LinkedIn is not a Wise Customer Support channel. If you would like to hear from our Customer Support team, please see our Facebook, Twitter and Instagram pages. Login to access customer support: https://wise.com/login/ FB: https://www.facebook.com/Wise/ IG:https://www.instagram.com/wiseaccount/ TW:https://twitter.com/home
Offices: The Tea Building, 56 Shoreditch High Street, London, E1 6JJ, GB · W 26th Street, New York City, US · Váci út 80, Budapest, Budapest 1133, HU · Paya Lebar Link, Geylang, Central Region, SG · Veerenni 24, Tallinn, Harjumaa 10135, EE
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Companies currently hiring include WPP, Wise, Amazon, JPMorganChase, Capgemini, among others. Browse the listings above to see every active employer.
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