Lead Data Analyst - Treasury Operations

Description

You will join the Treasury Analytics team at a global technology company that moves and manages money internationally.

The team supports the groups that set up and maintain relationships with banking partners, and the corporate treasury operations team that moves and invests the company's cash.

The company is growing and publicly listed. This is an IC3 level role.

Responsibilities

• Run in-depth analyses and track performance so corporate treasury teams can make better operational and investment decisions.
• Cut manual work by automating operational processes, freeing time for larger projects, including helping design engineering solutions where needed.
• Create and maintain dbt data models that surface key metrics for the teams.
• Create and maintain Lightdash dashboards that support decisions and day-to-day operations.
• Build working relationships with finance, engineering, customer support, operations, design and other teams so your analysis and analytics builds reflect how the business works.
• Coach colleagues on analysis practice so their work is accurate, consistent, reproducible and delivered faster.

Requirements

• Deep background in data analytics.
• Strong SQL skills for building and maintaining complex data sources, and using visualisation tools to highlight critical insights.
• Experience with dbt and solid data modelling, including working through complex dbt projects and building reusable, maintainable data assets that scale.
• Stakeholder management: you can persuade analytics, engineering and business specialists to deliver high-impact change.
• Ability to turn business requests into clearly framed analytical problems.
• Ability to explain complex information at the audience's level of understanding.
• Able to produce high-quality work independently.
• Experience working in fintech or financial services.
• Experience automating or supporting operational processes.
• Experience with Lightdash or Superset.
• Working knowledge of advanced analytics, including Python and statistical modelling.
• Experience managing 1-2 analysts or coaching more junior team members.

Conditions

Base salary is £75,000 to £115,000.

The company values diverse, equitable and inclusive teams and welcomes people from every background.

Benefits

• Restricted stock units (RSUs) in a growing, publicly listed company.
• Private medical insurance and life insurance.
• Discounted gym memberships and a cycle to work scheme.
• A paid 6-week sabbatical after four years.
• 26 weeks of maternity leave at full pay.
• An annual self-development budget.
• Pet-friendly offices.
• Group activities such as yoga, running and board game nights.
• Further benefit details are available for the London office.