Wise

1 month ago

Senior Data Analyst

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Senior Data Analyst to partner with Wise's operational teams, building analytical capacity, owning data pipelines, and delivering predictive models to drive operational improvements across KYC/FinCrime, forecasting, and KPI strategy. You will collaborate with workforce management, quality, training, and knowledge management to translate insights into actionable decisions that support rapid product growth and customer experience.

Location: Tallinn

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Build and refine analytical models for capacity planning and forecasting to align with growth and operational demand
•Own data pipelines to ensure reliable and accurate data flow and reporting
•Develop predictive models and perform cause-and-effect analysis to identify drivers and optimise processes
•Provide strategic insights to assess operational health of KYC/FinCrime and other metrics affecting customer experience
•Monitor performance of key initiatives and contribute to KPI framework and reporting pipelines

Pay and Benefits

Salary: EUR 3,500 - 5,000 monthly

Key Requirements

•2+ years of experience in analytics with a track record of solving complex operational problems
•Background in statistics, maths, physics, engineering, economics, or a scientific field
•Experience with operational team analytics including capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics, and experimentation
•Experience with complex data models in SQL (Snowflake warehouse) and analyzing with SQL/Python/R
•Experience with data visualization tools (Looker, PowerBI, Tableau) and data storytelling

Experience:2+ yearsAnalyticsOperational analyticsCapacity planningForecasting

Skills:SQLPythonRLookerPowerBITableauSnowflakeData visualizationStorytelling

Languages:English

Tech Stack:SQLPythonRLookerPowerBITableauSnowflakeKPIForecastingARIMAHolt-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

1 month ago

Senior Data Analyst

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Tallinn

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Build and refine analytical models for capacity planning and forecasting to align with growth and operational demand
•Own data pipelines to ensure reliable and accurate data flow and reporting
•Develop predictive models and perform cause-and-effect analysis to identify drivers and optimise processes
•Provide strategic insights to assess operational health of KYC/FinCrime and other metrics affecting customer experience
•Monitor performance of key initiatives and contribute to KPI framework and reporting pipelines

Pay and Benefits

Salary: EUR 3,500 - 5,000 monthly

Key Requirements

•2+ years of experience in analytics with a track record of solving complex operational problems
•Background in statistics, maths, physics, engineering, economics, or a scientific field
•Experience with operational team analytics including capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics, and experimentation
•Experience with complex data models in SQL (Snowflake warehouse) and analyzing with SQL/Python/R
•Experience with data visualization tools (Looker, PowerBI, Tableau) and data storytelling

Experience:2+ yearsAnalyticsOperational analyticsCapacity planningForecasting

Skills:SQLPythonRLookerPowerBITableauSnowflakeData visualizationStorytelling

Languages:English

Tech Stack:SQLPythonRLookerPowerBITableauSnowflakeKPIForecastingARIMAHolt-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