National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

ESG Data Analyst

Neuberger Berman
London
6 days ago
Create job alert

Role Overview

We are seeking a motivated and resourceful ESG Data Analyst to join our ESG Data & Reporting team. This role is pivotal in supporting our existing functions of generating client reports, responding to ESG data queries from various stakeholders, and contributing to discussions around ESG data methodologies and ESG regulatory impacts on our datasets. In addition to these core responsibilities, the candidate will play a key part in helping to enhance existing processes by automating workflows and continually looking at opportunities to generate new insights from our ESG datasets to deliver additional value for our investment and client teams.

The ideal candidate will have some prior experience with analysing, reconciling, investigating and resolving data issues, and generating reports off the back of this.

Key Responsibilities

Produce and deliver timely, accurate ESG client reports to internal and external stakeholders Respond promptly and accurately to ESG data queries Develop and implement automated solutions to improve our current reporting capabilities and deliver extra insights for our internal and external clients Working with third-party vendors on data requirements, report automation and data distribution Work with stakeholders to deliver on client queries or engagements on cross-team projects Helping with ESG regulatory reporting including the production of ESG metrics related to regulations and associated queries Working with the Stewardship and Sustainable Investing team and project teams on implementation of any new frameworks or ongoing review and compliance with regulations, including but not limited to the measurement of sustainable investments, trade compliance and risk monitoring

Experiences:

Proficient with SQL to be able to extract and query data unassisted Strong data analysis skills with proficiency in Excel Preferred experience with Python (ability to read, write and edit code) Analysing and reconciling datasets Client reporting experience, and proven ability to project manage their own work and deliver outputs timely Able to articulate and document processes for others to easily follow and understand Highly motivated and self-driven team-player with a desire to work on a wide range of ESG related projects, collaborative and entrepreneurial spirit At least 3 years experience in the asset management industry

Neuberger Berman is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact .

Learn about the .

Related Jobs

View all jobs

ESG Data Analyst, Manchester

ESG Data Analyst, Manchester

Market Data Analyst

Market Data Analyst

Data Analyst – Business Analytics (12 month FTC)

HR Data Analyst

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.