Lead Data Analyst – FinCrime Operations

Job Description

We’re looking for a Lead Data Analyst passionate about our mission of Money Without Borders to partner with our operational teams to help drive data‑driven decisions that support our fast‑growing product through scaling and optimizing the team.

As a Lead Data Analyst, you will drive our analytics efforts in operations teams, supporting customers, screening for criminal activity, and verifying customer identities at scale. You’ll collaborate closely with operational leads, product managers, designers, engineers, workforce management, quality, training, and knowledge management to translate insights into real change.

Responsibilities

• Analytical Capacity Planning and Forecasting – Build and refine analytical models for strategic capacity planning and lead forecasting to align with business growth.
• Data Pipeline Ownership – Own data pipelines to maintain and improve data flow, ensuring reliability and accuracy.
• Predictive Modeling and Cause‑and‑Effect Analysis – Develop robust models to predict outcomes and conduct cause‑and‑effect analysis to identify key drivers, optimize processes, and enhance decision‑making.
• Strategic Support and Analysis – Provide critical insights to assess operational health, perform cost analysis, and analyze operational metrics, including quality, to understand customer impact.
• Performance Tracking and Initiative Optimisation – Monitor and track performance of key initiatives, capitalize on optimisation opportunities to improve outcomes.
• KPI Implementation and Target Setting – Lead development and implementation of the operations KPI tree and target‑setting framework, integrating within reporting pipelines.
• Stakeholder Collaboration and Process Standardisation – Work with stakeholders to standardise processes across forecasting, scheduling, and real‑time operations, promoting continuous improvement.

Qualifications

• Quantitative Foundation – Background in statistics, maths, physics, engineering, economics, or another scientific field.
• Statistical Mindset – Grasp of data logic, understanding distributions, variance, and significance; can separate signal from noise.
• 4+ years of analytics experience with a strategic mindset, delivering operational improvements.
• Experience in operational analytics: capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics, experimentation.
• Proficient in complex data models in SQL (Snowflake) and advanced SQL/Python/R.
• Ability to tell a story and proactively advise strategy based on insights.
• Experience with data visualisation tools such as Looker, PowerBI, Tableau, and storytelling ability.
• Bias to action – identify needed work and make it happen.
• Extra skills (not essential) – Prior experience in Operations domains, WFM or Quality teams, forecasting techniques (ARIMA, Holt‑Winters, time‑series methods).

What do we offer

• Salary: £75,000 – £115,000
• Company Restricted Stock Units
• Numerous great benefits in our London office

Key benefits

• Hybrid working + MobileWiser – work from anywhere up to 90 days a year
• Paid annual holiday, sick days, parental leave, and other leave opportunities
• 6 weeks of paid sabbatical after 4 years at Wise, on top of annual leave

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