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

Nominate & Attend

Senior Distribution Data Analyst (4 month Fixed Term Contract)

Janus Henderson
London
10 months ago
Applications closed

Related Jobs

View all jobs

Finance & Data Analyst

Senior Data Science Manager

Senior MLOps/GenAI Infrastructure Engineer

Data Scientist

Senior Operational Analyst

Senior AI Engineer

Why work for us?

A career at Janus Henderson is more than a job, it’s about investing in a brighter future together. 

Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right.

Our Values are key to driving our success, and are at the heart of everything we do:

Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust

If our mission, values, and purpose align with your own, we would love to hear from you!

Your opportunity

Manage and develop business intelligence reporting and analytics process/relationships. Develop Business Intelligence framework to provide; Heightened client experience Drive sales and marketing effectiveness, support, and analytics for business channels and sellers Roll out new analytics tools. Contribute to strategic decisions within team, by showing an understanding of how individual work ties into the strategic direction of the company. Perform data and business analysis to gain insight into business functions and provide necessary recommendations to management team, technology, and operations. Manage and develop executive and board level reporting and presentations. Develop reporting, presentations, and processes to effectively report critical business functions to a sophisticated, high risk – high reward audience.  Provide guidance and shares expertise with all levels of the organization. Supervise process and production of periodic daily / monthly / quarterly performance and management reports and analyses.


What to expect when you join our firm

Hybrid working and reasonable accommodations. Generous Holiday policies. Excellent Health and Wellbeing benefits including corporate membership to ClassPass. Paid volunteer time to step away from your desk and into the community. Support to grow through professional development courses, tuition qualification reimbursement and more. All-inclusive approach to Diversity, Equity and Inclusion. Maternal/paternal leave benefits and family services. Complimentary subscription to Headspace – the mindfulness app. All employee events including networking opportunities and social activities. Lunch allowance for use within our subsidized onsite canteen.

Must have skills

Experience within financial services with an emphasis in Finance / Modeling / Strategy / Marketing / Sales / Business analyses using various analytic techniques (fit-for-purpose statistical analyses, data analysis/data mining, derived variable creation, analytics sandbox experience). Experience communicating business needs and requirements to Technology and Operations partners. User Acceptance Testing experience – creating realistic test scenarios and test scripts, defining exit criteria, designing testing in a fit-for-purpose manner based on business need. Bachelor’s Degree, Postgraduate work or advanced training in Analytics / Information Science / Accounting / Finance / Business Administration / Economics / Marketing or equivalent required. Strong interpersonal and customer service skills; puts the client at the center of everything we do. Advanced analytical skills with the ability to accumulate, organize, and assimilate large amounts of information. Advanced reporting, analytics, and statistical skills; experience with industry tools including Alteryx, Cognos, Business Objects, MicroStrategy, Power BI, Tableau, Qlik, R, Python, SPSS, SAS. Experience with Relational Database (SQL server, Oracle, etc.), cloud data systems (Azure, AWS, Snowflake, etc.), Apache Hadoop, Spark and CRM reporting systems (SalesForce.com, Pardot, etc.).

Potential for growth

Mentoring Leadership development programs Regular training Career development services Continuing education courses

You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role. 

At Janus Henderson Investors we’re committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from all backgrounds. Don’t worry if you don’t think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can’t accommodate every flexible working request, we’re happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at  

#LI-IK1 #LI-HYBRID

Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee’s job functions (as determined by Janus Henderson at its sole discretion).

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 UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.