Wise

4 weeks ago

Lead Data Analyst - Total Service (Operations)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead Data Analyst for Wise’s Total Services/Operations, partnering with operational teams to drive data-driven decisions at scale. You’ll own capacity planning, data pipelines, and advanced analytics (predictive modeling, causal inference) to optimise servicing interventions, improve customer outcomes, and standardise KPI reporting across forecasting, scheduling and real-time operations.

Location: London

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Analytical Capacity Planning and Forecasting. Focus on building and refining analytical models for strategic capacity planning and forecasting efforts.
•Data Pipeline Ownership. Own data pipelines to maintain and improve data flow and reliability for high-stakes servicing interventions at scale.
•Predictive Modeling and Cause and Effect Analysis. Develop models to predict outcomes and perform cause-and-effect analyses to optimise processes and planning.
•Causal Inference and Quasi-Experimental Analysis. Apply methods such as difference-in-differences and synthetic controls to attribute outcomes without ideal conditions.
•KPI Implementation and Target Setting. Lead the development and implementation of the operations KPI tree and target-setting framework within reporting pipelines

Pay and Benefits

Salary: GBP 75,000 - 115,000 annually

Key Requirements

•4+ years of experience in analytics with demonstrated ability to approach complex problems with a strategic mindset, identifying innovative solutions that drive operational improvements.
•background working with operational team analytics including capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics, and experimentation.
•experience with complex data models in SQL (Snowflake) and analysing it using advanced SQL/Python/R
•ability to tell a story and proactively give guidance on strategy based on insights
•experience with data visualisation tools (Looker, PowerBI, Tableau) and storytelling with data

Experience:4+ yearsFinanceOperationsAnalytics

Skills:StorytellingCommunicationCollaborationProblem-solvingAnalytical thinking

Languages:English

Tech Stack:SQLPythonRSnowflakeLookerPowerBITableauARIMAHolt-Winters

Company Brief

Wise

Wise (formerly TransferWise) is a London-based fintech that provides low-cost international money transfers, multi-currency accounts and payment infrastructure for individuals and businesses worldwide.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 2011

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Wise

4 weeks ago

Lead Data Analyst - Total Service (Operations)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Analytical Capacity Planning and Forecasting. Focus on building and refining analytical models for strategic capacity planning and forecasting efforts.
•Data Pipeline Ownership. Own data pipelines to maintain and improve data flow and reliability for high-stakes servicing interventions at scale.
•Predictive Modeling and Cause and Effect Analysis. Develop models to predict outcomes and perform cause-and-effect analyses to optimise processes and planning.
•Causal Inference and Quasi-Experimental Analysis. Apply methods such as difference-in-differences and synthetic controls to attribute outcomes without ideal conditions.
•KPI Implementation and Target Setting. Lead the development and implementation of the operations KPI tree and target-setting framework within reporting pipelines

Pay and Benefits

Salary: GBP 75,000 - 115,000 annually

Key Requirements

•4+ years of experience in analytics with demonstrated ability to approach complex problems with a strategic mindset, identifying innovative solutions that drive operational improvements.
•background working with operational team analytics including capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics, and experimentation.
•experience with complex data models in SQL (Snowflake) and analysing it using advanced SQL/Python/R
•ability to tell a story and proactively give guidance on strategy based on insights
•experience with data visualisation tools (Looker, PowerBI, Tableau) and storytelling with data

Experience:4+ yearsFinanceOperationsAnalytics

Skills:StorytellingCommunicationCollaborationProblem-solvingAnalytical thinking

Languages:English

Tech Stack:SQLPythonRSnowflakeLookerPowerBITableauARIMAHolt-Winters

Company Brief

Wise

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 2011

Glassdoor: 3.8

Website LinkedIn Glassdoor