Data analyst in treasury operations

Wise; Greater London; On-site; GBP 75,000 - 115,000; Full time

Benefits offered by this job

RSU's in a growing public company

Private Medical Insurance + Life

Discounted gym memberships

Cycle to work scheme

5-week sabbatical after four years

26 weeks maternity leave

Annual self-development budget

Pet friendly offices

Group activities: yoga, running, board

Job summary

Wise is seeking a Lead Data Analyst to join the Treasury Analytics team. You will lead data analytics for corporate treasury decisions, develop robust dbt data models, and surface key metrics via Lightdash dashboards. You will collaborate with finance, engineering, and operations, and mentor junior analysts to raise accuracy and speed of delivery.

The role emphasizes stakeholder management, autonomous work, and fintech/domain knowledge to drive high-impact analytics across the company.

Qualifications

• Extensive experience in data analytics.
• Extensive experience using SQL to build and maintain complex data sources and visualisation tools.
• Experience with dbt and robust data modelling; navigate complex dbt projects.
• Strong stakeholder management; influence teams across analytics, engineering and business.
• Ability to translate business requests into clear analytical problems.
• Ability to convey complex information to varied audiences.
• Ability to deliver high-quality work autonomously.

Responsibilities

• Help treasury teams make more effective operational and investment decisions through deep-dive analyses and performance measurement.
• Automate relevant operational processes to free up time for strategic initiatives.
• Build and maintain dbt data models to surface key metrics.
• Build and maintain Lightdash dashboards to support decision making.
• Build relationships across finance, engineering, customer support, operations, design, and more.
• Mentor team members on best practices in data analysis to ensure accuracy and reproducibility.

Skills

Data analytics

SQL

dbt

Data modelling

Stakeholder management

Communication

Autonomy

Tools

Lightdash

Superset

Python

Job description

Описание: 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. We are looking for a Lead Data Analyst to join the Treasury Analytics team at Wise.

Задачи:

• Help corporate treasury teams make more effective operational and investment decisions through deep-dive analyses and performance measurement
• Automate relevant operational processes to free up time for strategic initiatives (includes supporting the design of engineering solutions when needed)
• Build and maintain dbt data models to surface key metrics to the teams
• Build and maintain Lightdash dashboards to support decision making and operational processes
• Build relationships with teams across the company, from finance and engineering to our customer support, operations, design and more, to gain the knowledge needed for accurate analysis and implementation of analytics solutions
• Mentor other team members on best practices in data analysis, ensuring accuracy, consistency, and reproducibility of work while improving the pace of execution

Требования:

• Extensive experience in data analytics
• Extensive experience using SQL to build and maintain complex data sources, and leveraging visualisation tools to surface critical insights
• Experience with dbt and robust data modelling, including the ability to navigate complex dbt projects and create reusable, maintainable data assets for scalable analytics
• Stakeholder management skills; you know how to influence teams to deliver high-impact change, across analytics, engineering, and business specialists
• Ability to translate business requests into clear analytical problems
• Ability to convey complex information, tailored to the audience’s level of understanding
• Ability to deliver high quality work autonomously
• Будет плюсом: Experience working in Fintech or Financial Services; Experience automating (or supporting) operational processes; Experience using Lightdash or Superset; Knowledge of advanced analytics techniques, including the use of Python and statistical modelling; Experience managing 1-2 analysts or coaching more junior team members

Условия:

• Base salary of £75,000 - £115,000
• RSU's in a growing and public company
• Private Medical Insurance + Life Insurance
• Discounted gym memberships and cycle to work scheme
• A paid 5-week sabbatical leave after four years
• 26 weeks maternity leave at full pay
• An annual self-development budget
• Pet friendly offices
• Lots of fun group activities like yoga, running and boardgame nights