Junior Data Analyst: AI, Automation & Dashboards (London)

Tempest Vane Partners

Greater London

On-site

GBP 32,000 - 42,000

Full time

3 days ago
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Job summary

Tempest Vane Partners in London is seeking a Junior Data Analyst to help grow how the hedge fund uses data and technology. You will build dashboards and analyze data, collaborating with the COO and a senior Data Analyst.

The role offers exposure to investment, operations and compliance, with scope to develop AI-enabled workflows and automate routine tasks, while learning practical data skills in a fast-moving financial environment.

Qualifications

  • Strong numerical skills and an enthusiasm for working with data.
  • Confidence using Excel and an interest in developing your technical skills.
  • Curiosity about AI, automation and their practical applications.
  • Initiative, attention to detail and a willingness to question how processes could work better.
  • Clear communication skills and an appetite to learn about financial markets.

Responsibilities

  • Turn complex datasets into clear dashboards and useful business insights.
  • Improve reporting using Excel, Power BI and, where appropriate, Python.
  • Help replace repetitive manual tasks with more efficient, automated workflows.
  • Explore opportunities to use AI tools, checking outputs carefully before applying them.
  • Work with colleagues across investment, operations and compliance to solve their data challenges.
  • Help strengthen the data foundations supporting the firm’s continued growth.

Skills

Numerical skills
Excel proficiency
Power BI
Python basics
AI curiosity
Attention to detail
Communication skills

Tools

Excel
Power BI
Python

Job description

Tempest Vane Partners in London is seeking a Junior Data Analyst to help grow how the hedge fund uses data and technology. You will build dashboards and analyze data, collaborating with the COO and a senior Data Analyst.

The role offers exposure to investment, operations and compliance, with scope to develop AI-enabled workflows and automate routine tasks, while learning practical data skills in a fast-moving financial environment.

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