Hedge Fund Data Analyst – Advanced Excel & Power BI (Start-Up Hedge Fund)

Martis Search; England; On-site; GBP 50,000 - 100,000; Full time

Job summary

A specialized recruitment agency is seeking a Hedge Fund Data Analyst for a start-up Hedge Fund in the United Kingdom. This role involves automating processes, managing complex datasets, and creating dashboards using advanced Excel and Power BI. Candidates should possess strong analytical skills and ideally have experience in Python or SQL. A degree is beneficial, but strong technical skills and a willingness to learn can suffice. The position offers a salary range of £50,000 to £100,000, plus bonuses and benefits, and requires full-time office attendance.

Benefits

Bonus

Pension

Healthcare

Qualifications

• Strong skills in advanced Excel and Power BI are essential.
• Experience with Python or SQL is highly desirable.
• Openness to learning Hedge Fund operations is a plus.

Responsibilities

• Automate and streamline processes using advanced Excel and Power BI.
• Produce reporting and dashboards for multiple stakeholders.
• Handle large, complex datasets with confidence.

Skills

Advanced Excel

Power BI

Python

SQL

Education

Graduation in relevant field

Job description

The Role

Hedge Fund Data Analyst – Advanced Excel & Power BI (Start-Up Hedge Fund)

Martis Search is partnering with a boutique, multi-asset class start-up Hedge Fund to appoint a permanent “Hedge Fund Data Analyst.”

This is an exceptional opportunity to join a dynamic, rapidly growing firm and play a key role in shaping its data infrastructure and reporting capabilities.

Reporting directly to the COO, this is a broad and hands-on role working across a wide range of datasets, including Fund Data, Performance Data, Investment Data, Compliance Data, and Operations Data.

Although the firm uses high-end, off-the-shelf technology solutions, many teams across London and New York still rely on complex Excel spreadsheets. The successful candidate will help automate and streamline these processes using advanced Excel, Power BI, and ideally coding / Macros, with a focus on reducing manual updates and improving data accuracy.

You will work with complex, interconnected spreadsheets used by multiple stakeholders across the business. You must be highly technical, data-driven, and confident handling large and sophisticated datasets.

The role also includes a strong emphasis on data visualisation and management information (MI) reporting. You may produce reporting and dashboards for Fund Managers, the COO, Compliance, Operations, external investors, and prospective clients. This may include internal MI, Power BI dashboards, Excel reporting, performance data, and client pitch materials.

This is a genuinely wide-ranging Data Analyst role offering direct interaction with senior stakeholders and exposure across the entire Hedge Fund.

Who they are looking for :

Our client is open-minded about background. Strong “advanced Excel and advanced Power BI” skills are essential. Candidates may come from :

• 2024 / 2025 graduates with no Hedge Fund experience but with strong Excel and Power BI skills (full training provided).
• Graduates with 1–2 years’ experience in a Hedge Fund, Asset Manager, or Investment Bank in a data-focused role.
• Non-graduates with strong technical skills (Excel / Power BI) and an interest in learning Hedge Fund operations.
• Candidates from a Data Analyst or technology-focused background looking to transition into the Hedge Fund industry.
• Experienced Data Analysts from Hedge Funds, Asset Management, or Investment Banking.

The COO is looking for someone who genuinely enjoys working with complex datasets and analytical tools. This is not intended as a short-term path into a front-office investment role.

Experience with Python or SQL is highly desirable.

As a start-up environment, the role is 5 days per week in the office, and you must be comfortable working independently and taking initiative on data projects.

Salary

£50,000 k pa - £100,000 k pa dependent upon experience, plus a very good bonus, pension, healthcare etc.