Data Analyst at With Intelligence

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Snowflake, Data Analysis, Financial Data, Data Visualization, Market Analysis, Trend Identification, Journalism Collaboration, Modeling, SEC Filings Analysis

Industry

Financial Services

Description

With Intelligence (now part of S&P Global) is a global leader in providing data and insights for the asset management industry, specializing in alternatives and private markets data. Our company plays a pivotal role in empowering investors and managers to make informed decisions, with a commitment to fostering a culture of data-driven insights. We are currently seeking a Data Analyst to join our editorial team, working at the intersection of data, markets, and journalism. This role focuses on analysing proprietary datasets covering hedge funds, private markets, and institutional investor behaviour — helping to produce and embed high-quality, data-led insights into our editorial output that showcase the value of With Intelligence’s data and expertise across the alternatives asset management industry. Responsibilities Analyse proprietary datasets on hedge funds, private markets, and investor allocations to uncover trends and actionable insights Use SQL (Snowflake) to extract and work with structured financial data Collaborate with journalists and subject matter experts to develop data-driven story ideas and embed data into editorial content Contribute to the development of data visualisations in editorial output Build practical models to address data gaps and support market analysis and projections Incorporate public data sources (e.g. SEC filings) to enhance analysis where required Proven experience in a data, research, or financial analytics role Strong SQL skills (Snowflake preferred) Experience working with structured financial or investment datasets Strong analytical thinking and comfort working with incomplete data Ability to communicate data insights clearly It would be an advantage to have any of the following (but not essential): Experience working with editorial, research, or publishing teams Understanding of hedge fund or private markets strategies and performance metrics Familiarity with SEC filings (ADV, 13F, etc.) Annual leave and unlimited Recharge Days Enhanced parental leave Private Healthcare Wellness Days Employee assistance program Travel loan scheme Charity days Hybrid Working For the full range of S&P benefits : https://spgbenefits.com/ourbenefits?country=United%20Kingdom%20(U.K.) Our Company: With Intelligence is now a part of S&P Global, creating one of the most comprehensive data offerings for alternatives and private markets participants. We are now part of a larger organization with more than 35,000 staff worldwide, so we're able to understand nuances while having a broad perspective. From helping our customers assess new investments across the capital and commodities markets to guiding them through the energy expansion, acceleration of artificial intelligence, and evolution of public and private markets, we enable the world’s leading organizations to unlock opportunities, solve challenges, and plan for tomorrow – today. We’re Advancing Essential Intelligence. We are an Equal Opportunity Employer. Our policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, colour, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable law.

Responsibilities

The role involves analyzing proprietary datasets covering hedge funds, private markets, and investor allocations to uncover trends and actionable insights. Responsibilities also include collaborating with journalists to embed high-quality, data-led insights into editorial output.