174 Business Analyst Asset Management Utilities Manufacturing jobs in London

Salary: £26,000 – £0,000 (dependent upon skills and experience) Location: London  - HybridYou will need to be in London around 2-3 times per week flexible Ideally your commute to central London would be no longer than 1.5 hours each way. 

Are you autistic  and looking for a career in data science? 

Do you have an analytical mindset and a keen eye for detail, with skills in pattern recognition and error detection? Would you like to work in an environment where neurodiversity is celebrated and autistic staff are supported to thrive? Our business is growing: we’re expanding our London practice and are looking for data scientists, data analysts and data engineers to join our team of talented autistic consultants. We recruit on a rolling basis with flexible start dates. What the role involves  

You’ll join our team of Consultants and Senior Consultants.  You’ll be a permanent employee of auticon, but most of your day-to-day work will be with one of our clients. You’ll add skills and expertise to the client’s team or project. Most of our clients are large multinational organisations who require expertise in areas such as data analysis, data visualisation, data engineering, cyber security, machine learning or AI.  You get the chance to work on interesting assignments with our clients, whilst still having all the support of being an auticon employee.  When you’re between projects, your employment with us continues and we support you to further develop your skills.

What we offer  A salary of £27,500 – £40,000 (dependent upon skills and exper nce) Normally £ ,500 – £3 000 for Consultants with lower levels of work experience or £2 000 – £4 000 for Consultants with more relevant work experience or practical application of skills via a PhD, for example Permanent contract that includes valuable autism-tailored benefits, such ongoing assistance from a dedicated Coach who provides practical and emotional support to help you thrive in your role Min 33 days annual leave, including bank holidays, with optional annual leave purchase available Private health insurance package Friendly and productive work environment where reasonable adjustments are understood and encouraged Personal development with fully funded courses What we’re looking for  

Essential Criteria  – please apply if you have: 

Evidence that you’re in the process of obtaining an autism diagnosis OR evidence you already have a diagnosis OR alternative documentation to evidence autism The ability to commute to our London office (SE1 3JW) on a regular basis.  As a responsible employer, we’re aware of the sensory and emotional impact of longer commutes. We consider a reasonable commute to be no longer than 1.5 hours each way Strong Python or R skills, including the use of relevant libraries (NumPy, pandas, etc.) Experience in 2 or 3 of the following:– Using data analysis tools– Processing large data sets accurately– Using relational database

Desirable Criteria  (please note that you don’t need to meet all, or any, of the criteria listed below in order to apply) 

Previously used Tableau, Power BI, Qlik, Spotfire, etc. Certification in one of the major cloud services (AWS, Azure, Google Cloud Platform, etc.) Some knowledge/experience of machine learning (e.g. TensorFlow) Cyber security skills, experience or certification (e.g. CompTIA)  Some relevant work experience or equivalent practical application of skills through a PhD, for example Previous experience of, or willingness to undergo, national security vetting so that you can work on projects with our public sector clients who require Security Check (SC) clearance.  This requires you to have been a UK resident for 5 years 

Due to the differing needs of our clients, we can’t guarantee an entirely remote role, and commuting into central London around 2-3 times per week may be required. However, as we appreciate the impact that commuting and office environments can have on our consultants, we ensure reasonable adjustments are implemented and encourage flexible or hybrid working arrangements where possible. 

Successful candidates must have ongoing permission to work in the UK.  We particularly encourage applications from PhD students who can access the 3-year graduate visa route.

About auticon  

auticon is a social enterprise whose mission is to provide long-term career opportunities for autistic adults.  We employ autistic people as IT and Data Consultants, and they deliver high-quality services to our clients.  

As autism is the cornerstone of our social mission, we do ask applicants for these roles to provide evidence that they’re in the process of obtaining an autism diagnosis, evidence they have a diagnosis, or alternative documentation to evidence autism. 

Inclusion Statement  

We’re committed to equality of opportunity in all areas of our work. You’ll be treated in a fair and equal manner regardless of your gender, marital status, race, religion, age, disability or sexual orientation.   

We welcome applications from a diverse range of backgrounds, including people from diverse ethnic and cultural backgrounds, people with disabilities, people from diverse educational and socio-economic backgrounds and people who identify as LGBTQIA+.  

Inclusion is at the heart of everything we do at auticon and that starts with our recruitment process, which has been designed to make you feel comfortable to be your authentic self.  Find out more about our 4-stage recruitment process on our website: auticon – Careers UK.   

As a Disability Confident Leader, we’re committed to providing applicants with any reasonable adjustments or accommodations needed. Therefore, please let us know if you require any reasonable adjustments as part of the recruitment process.

How to apply  

If you’re interested in joining the auticon team then please submit your application using the “Apply Now ” button and one of the Enna team will be in contact with you shortly. 

**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 Applicant Privacy Notice ( ._
Founded in 1939, Neuberger Berman is a private, independent, employee-owned investment manager. From offices in 39 cities worldwide, the firm manages $515 billion in client assets (as of March 31, 2025) across a range of strategies-including equity, fixed income, quantitative and multi-asset class, private equity and hedge funds-on behalf of institutions, advisors and individual investors globally.
Tenured, stable and long-term in focus, the firm has built a diverse team-including 760-plus investment professionals and more than 2,800 employees in total-united in their commitment to delivering client outcomes and investment excellence. It is our people who define our culture and have enabled us to be recognized by _Pensions & Investments_ as the first or second "Best Place to Work in Money Management" for last eight consecutive years (firms with 1,000+ employees).
Neuberger Berman believes strongly that all employees are entitled to be treated with respect and dignity, and to work in a professional and safe environment. These values are the cornerstone of our firm. We prohibit any form of harassment, whether mental, verbal or physical. We do not tolerate the support of terrorist groups, acts of terrorism, or threats of violence. All who wish to be employed by the firm are expected to uphold these principles.
For important disclosures:

With Intelligence is a leading provider of business intelligence, data and insights on the global asset management industry. We provide high-value, specialist business information to niche target audiences in the alternative and traditional fund management industries and employ over 500 staff globally with our head office based in London.

The Role

We are seeking a detail-oriented Audience Data Analyst to join our team. The successful candidate will be responsible for ensuring the quality and ongoing integrity of our audience data for sophisticated marketing and outreach campaigns, with the overall goal of supporting revenue generation (via ticket sales) for our Women’s summits. In addition, the role will provide deep analysis (e.g. retention rates, channel performance etc.) and insights to optimise sales and marketing efforts. This role requires a strong understanding of data analytics, customer segmentation, and business intelligence tools, such as Salesforce and Tableau/Power BI.

The Responsibilities

Data Management & Reporting:

• Collect, QC, and structure CRM data from various sources, ensuring data integrity and accuracy:

o   Tracking updated contact details (e.g. people moves among firms),

o   Taking full ownership of bespoke data research projects to enrich our CRM data.

• Create automated dashboards and reports using BI tools (e.g., Tableau, Power BI) to present insights and campaign attribution.
• Partner with internal teams to embed measurement thinking into every campaign.

Customer Segmentation & Analysis:

• Analyse customer demographics, behaviours, and purchasing patterns to identify key segments and improve targeting and personalisation.
• Initiate sales opportunities / leads by navigating accounts and hunting for qualified prospects, cleaning leads, collaborating with marketing and sales as appropriate, and ensuring that data collection across various forms and touch points are optimised for lead generation.
• Perform statistical analyses to measure segmentation effectiveness.

Campaign Optimisation & Insights:

• Analyse the performance of marketing campaigns and sales efforts across customer segments, including creating KPIs around new data and added / created leads.
• Provide data-driven recommendations to improve engagement, conversion rates and ROI.
• Identify new market opportunities and trends based on data insights.
• Support CRM initiatives by refining lead-scoring models and customer journey mapping.

Requirements

• Experience of working in a marketing operations role, CRM, or campaign management insights/ research role, preferably within a fast-paced business environment
• Proven experience working with marketing data analysis and metrics, including tracking, lead scoring and attribution and customer segmentation
• Strong proficiency in the use of Salesforce or similar CRM platforms as well as data visualisation tools, such as Power BI
• Excellent written and verbal communication skills
• Excellent interpersonal skills - able to work confidently as part of a team and build effective working relationships across the organisation, to provide an excellent level of customer care
• Able to be discrete and to deal appropriately with confidential information, whilst exercising tact, and diplomacy
• Able to prioritise work and adapt to competing demands and deadlines
• Organised approach to work, with a strong focus on accuracy and attention to detail
• Strong problem solving skills – able to interpret data and draw meaningful conclusions to be able to present data issues and contribute to their resolution
• Experienced in data storytelling and delivering data insights to a variety of audiences, such as B2B marketing and sales teams
• Can demonstrate resilience and remain calm under pressure, particularly when dealing with difficult situations
• Can work well with minimal supervision, within defined parameters, demonstrating initiative and the ability to be proactive
• Good level of proficiency in MS Office products, i.e. Outlook, SharePoint, Word, Excel and PowerPoint, and competent in the use of online video conference platforms, such as MS Teams & Google Meet.
• Undertake research and ad hoc special projects, as needed, or other duties that may from time to time be necessary

Benefits

• 24 days annual leave rising to 29 days

• Enhanced parental leave
• Medicash (Health Cash Plans)
• Wellness Days
• Flexible Fridays (Opportunity to finish early)
• Birthday day off
• Employee assistance programme
• Travel loan scheme
• Charity days
• Breakfast provided
• Social events throughout the year
• Hybrid Working

Our Company:

With Intelligence is based at One London Wall, London EC2Y 5EA. We offer amazing benefits, free breakfast daily and drinks provided all day, every day. We actively encourage social networks that oversee activities from sports, book reading to rock climbing, that you are free to join.

As part of our company, you will enjoy the benefits of an open plan office and working with a social and energetic team. With Intelligence provides exclusive editorial, research, data and events for senior executives within the asset management industry. These include hedge funds, private credit, private equity, real estate and traditional asset management, and our editorial brands are seen as market leaders in providing asset manager sales and IR execs with the actionable information they require to help them raise and retain assets. To maintain and grow our position in the market we need to continue to hire highly motivated, thoughtful and to ensure our subscribers are getting the exclusive intelligence they need first, and most comprehensively, through our range of services. If you are interested so far in what you have read, please apply, we look forward to hearing from you.

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.

As a Data Analyst at Stakemate, you’ll take ownership of our analytics, event tracking, and reporting, helping us understand every interaction users have on our proprietary social sportsbook. You will work directly with our Product Team, ensuring we have complete tracking coverage, powerful insights, and accurate models to drive retention, growth, and monetisation. Your work will directly influence how we design features and experiences that change how users consume sports betting entertainment.

Core Duties and Responsibilities

• Act as the data champion in the product team, ensuring every product decision is data-driven.
• Obsess over behavioural data to find drop-off points, cohort trends, identify issues and actionable insights.
• Design, implement, and maintain a comprehensive event taxonomy across our React Native app, using Mixpanel and Segment. Ensure critical flows are fully instrumented, tracked, and optimised.
• Build and maintain automated dashboards (retention, churn, funnels, user journeys, LTV) in Mixpanel, PowerBI, and similar tools.
• Set up automated alerts and retention tracking to proactively identify issues or growth opportunities.
• Measure impact of A/B tests of onboarding, retention, and engagement experiments, working closely with CRM, Growth and Product teams.

Build LTV and churn models, iterating toward machine learning-driven predictions to support marketing and CRM optimisation.

Requirements

• 3+ years experience as a Data Analyst preferably in consumer mobile apps, sports, gaming, retail, or e-commerce.
• Experience with Python or R for advanced analytics and machine learning, as well as exposure to marketing and CRM analytics.
• Hands-on experience with Mixpanel, Segment, and event-based tracking systems; proven ability to design and own event taxonomies.
• Strong SQL skills (complex joins, CTEs, performance optimisation) and proficiency with data visualisation tools (Mixpanel, Looker, or equivalent).
• Experience in cohort analysis, funnel tracking, LTV modeling, and retention analytics.
• Familiarity with A/B testing and experimentation frameworks.
• Comfortable collaborating with engineering teams (React Native) and using Jira to work in an agile environment.
• Passion for digging into data to understand user behavior and influence product strategy.

A mindset of extreme ownership, curiosity, and the drive to uncover insights that create real product impact.

Benefits

• £50k-£60k salary DOE + Bonus and Equity. 

• The chance to shape analytics strategy at a high-growth startup from the ground up.
  A fast-paced, dynamic environment with significant growth and leadership opportunities.
• Health and dental insurance through Bupa

Work Arrangements
At Stakemate, we value strong team culture as much as product innovation. You’ll be based in our London office, coming in 3 days per week as part of a hybrid model.

About Stakemate
Founded in summer 2022 and named EGR’s Most Innovative Startup, Stakemate is revolutionising the UK sports betting scene with the #1 Social Sports Betting App. We’re a lean team that thrives on extreme ownership and rapid product iteration.

Our mission is simple: make betting social and thrilling by bringing mates together to bet, chat about games, follow live odds, and celebrate wins as a team — all in one seamless app. Learn more about us at and download our app.

Interview Process

1. 30 min call – Introduction to Stakemate and discussion of your background.
2. 45–60 min call – Deep dive with our Product Team to assess your analytics experience and approach, an additional 20 minute call with the founder may be actioned.
3. Final meeting in Borough Office – Meet leadership and discuss culture fit.

3 months contract with local authorityWe are looking for a talented NLWA PowerBI Data Analyst to support a variety of services and deliver against corporate cross-cutting priorities. As a NLWA PowerBI Data Analyst, you will use data from internal and external sources to carry out insightful analytics for various professional roles and audiences. You will have significant expertise in PowerBI, including using PowerQuery, combining multiple data sets, building semantic models, and using DAX expressions. Your responsibilities will include data analysis and synthesis, communication with stakeholders, data management, data modelling, cleansing and enrichment, data quality assurance, validation and linkage, data visualisation, IT and mathematics application, logical and creative thinking, project management, and statistical methods and data analysis.Responsibilities:Carry out insightful analytics for various professional roles and audiencesApply basic techniques for data analysis from internal and external sourcesCommunicate effectively with stakeholders in various rolesUnderstand and promote data governance practicesProduce and maintain data models/dashboardsIdentify appropriate ways to collect, collate, and prepare dataTake advantage of a wide variety of data visualisation tools and methodologiesApply IT and mathematical skills in a sensitive manner to information securityRespond effectively to problems in databases, data processes, data products, and servicesApply project management methodologies and collaborate with colleagues to achieve objectivesApply statistical techniques to generate insight and answer business questionsRequirementsRequirements: Proven experience as a Data Analyst or similar roleProficient in PowerBI, including PowerQuery, DAX expressions, and building semantic modelsStrong analytical and problem-solving skillsExcellent communication and presentation skillsKnowledge of data governance and data management best practicesExperience in data modelling, data visualisation, and statistical methodsBachelor's degree in Computer Science, Statistics, or related field

Are you looking to start a career in data analysis but don’t have prior experience? Join our team as a Data Analyst, and we will provide all the support and mentoring you need to succeed in this exciting field.

This role is perfect for someone analytical, curious, and eager to learn, with a passion for working with data.

As a Data Analyst, you will work alongside experienced professionals and gain hands-on experience in data processing, analysis, and visualisation.

We’re committed to your development and will support you every step of the way as you grow into a skilled data analyst.

Responsibilities:

• Data Collection & Processing: Assist in gathering, cleaning, and organising large datasets from multiple sources.
• Data Analysis: Learn how to perform basic data analysis, generate insights, and identify trends using various tools and techniques.
• Reporting & Visualisation: Help create reports and data visualisations to communicate findings to stakeholders, learning how to present data in an easy-to-understand format.
• Collaboration: Work closely with senior analysts and other departments to understand business needs and contribute to ongoing projects.
• Learning & Development: Participate in training sessions and apply new skills to real-world projects, with the opportunity to specialise in areas such as data science, business intelligence, or machine learning.
• Documentation & Process Improvement: Assist with documenting analysis processes and identifying areas where data workflows can be optimised.

Requirements

We are looking for someone who has:

• A passion for data and problem-solving.

• Strong attention to detail and a methodical approach.
• An eagerness to learn new tools and techniques.
• Strong communication skills and the ability to work effectively in a team.

This role is Ideal for someone with no prior data experience but a keen interest in starting a career in data analysis

Benefits

• Comprehensive Training: Receive full training in data analysis, including tools like Excel, SQL, Power BI, Python, and more.
• Career Development: Access to mentorship, career guidance, and opportunities for advancement as you grow in your role.
• Hybrid Working: Enjoy a flexible work arrangement with a combination of remote work and office-based collaboration.
• Supportive Team: Join a friendly, inclusive team that encourages growth and learning.
• Competitive Salary: Receive a competitive starting salary with performance-based increases.
• Health & Wellbeing: Access to health benefits and wellbeing initiatives.
• Paid Time Off: Generous annual leave and public holiday allowances to support a healthy work-life balance.
• Professional Growth: Opportunities to take on more responsibilities and specialise in areas of data analysis that interest you.