Wise

3 weeks ago

Lead Data Analyst

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Drive analytics in operational teams to support scaling and optimization across capacity planning, forecasting, and KPI implementation. Own data pipelines for reliable, accurate data flow, and build predictive models and cause-and-effect analyses to identify key drivers and improve decisions—especially for the KYC/FinCrime function. Partner with workforce management, quality, training, and knowledge management to standardize processes and monitor initiative performance, translating insights into real operational change for customers.

Location: Tallinn

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Build and refine analytical models for strategic capacity planning and take ownership of forecasting to align with business and operational growth.
•Own and improve data pipelines to ensure reliable and accurate data flow.
•Develop predictive models and perform cause-and-effect analysis to identify key drivers and optimize processes.
•Analyze operational health for the KYC/FinCrime function, including cost analysis and impacts of operational metrics on customer experiences.
•Lead operations KPI tree and target-setting framework integration into reporting pipelines, collaborating to standardize forecasting, scheduling, and real-time operations.

Pay and Benefits

Salary: EUR 4,500 - 6,500 monthly

Key Requirements

•Background in statistics, maths, physics, engineering, economics, or another scientific field with first-principles thinking for complex problems.
•4+ years of experience in analytics with a strategic mindset and proven ability to improve operations.
•Hands-on operational team analytics experience, including capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics, and experimentation.
•Advanced experience with SQL and complex data models (warehouse is Snowflake), plus analysis using SQL/Python/R.
•Experience using data visualization tools such as Looker, PowerBI, and Tableau; able to tell a story with data.

Experience:4+ yearsFinancial services

Skills:Strategic mindsetStorytellingBias to actionData-driven decision makingCollaboration

Languages:English

Tech Stack:SQLSnowflakePythonRLookerPowerBITableauARIMAHolt-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

3 weeks ago

Lead Data Analyst

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Tallinn

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Build and refine analytical models for strategic capacity planning and take ownership of forecasting to align with business and operational growth.
•Own and improve data pipelines to ensure reliable and accurate data flow.
•Develop predictive models and perform cause-and-effect analysis to identify key drivers and optimize processes.
•Analyze operational health for the KYC/FinCrime function, including cost analysis and impacts of operational metrics on customer experiences.
•Lead operations KPI tree and target-setting framework integration into reporting pipelines, collaborating to standardize forecasting, scheduling, and real-time operations.

Pay and Benefits

Salary: EUR 4,500 - 6,500 monthly

Key Requirements

•Background in statistics, maths, physics, engineering, economics, or another scientific field with first-principles thinking for complex problems.
•4+ years of experience in analytics with a strategic mindset and proven ability to improve operations.
•Hands-on operational team analytics experience, including capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics, and experimentation.
•Advanced experience with SQL and complex data models (warehouse is Snowflake), plus analysis using SQL/Python/R.
•Experience using data visualization tools such as Looker, PowerBI, and Tableau; able to tell a story with data.

Experience:4+ yearsFinancial services

Skills:Strategic mindsetStorytellingBias to actionData-driven decision makingCollaboration

Languages:English

Tech Stack:SQLSnowflakePythonRLookerPowerBITableauARIMAHolt-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