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

Nominate & Attend

Solution Analyst - Transformation Data Analyst

JPMorgan Chase & Co.
Bournemouth
2 months ago
Applications closed

Related Jobs

View all jobs

Entry Level Data Analyst

Entry Level Data Analyst

Data Analyst

Data Analyst

Data Analyst Coach / Mentor

Data Analyst Coach / Mentor

Join our team as a Solutions Analyst II and be at the forefront of driving technical innovation and strategic business solutions. Your role will be key to transforming complex challenges into efficient, tailored solutions, fostering both personal and professional growth.

As a Solutions Analyst II in Commercial & Investment Bank, you will play a pivotal role in bridging the gap between product owners, business, operations, and software developers by leveraging your technical and analytical reasoning skills. You’ll elicit and document business and data flow requirements, translating them into well-structured and technically feasible solutions. Your adaptability and ability to lead through change will be crucial in ambiguous situations and in effectively handling dependencies. Your strong foundation in data analytics will be instrumental in developing innovative architecture designs and operating systems. Excellent verbal and written communication skills will ensure clear and compelling exchanges with diverse stakeholders, fostering collaboration and driving the success of the company's projects and programs.

Job responsibilities

Contribute to data-driven decision-making by extracting insights from large, diverse data sets and applying data analytics techniques Collaborate with cross-functional teams to provide input on architecture designs and operating systems, ensuring alignment with business strategy and technical solutions Assist in managing project dependencies and change control by demonstrating adaptability and leading through change in a fast-paced environment Promote continuous improvement initiatives by identifying opportunities for process enhancements and applying knowledge of principles and practices within the Solutions Analysis field Guide the work of others, ensuring timely completion and adherence to established principles and practices

 Required qualifications, capabilities, and skills

Proven experience or equivalent expertise in solutions analysis, with a focus on eliciting and documenting business and data flow requirements Demonstrated proficiency in data fluency, including experience with data extraction, interpretation, and making data-informed decisions Developing technical fluency in relevant platforms, software tools, and technologies, with a curiosity to continuously expand technical knowledge Experience in data visualization and analytics, including understanding of vendor products and managing vendor relations Strong written communication skills, with a proven ability to effectively translate complex information for diverse stakeholder audiences Experience of using Alteryx.

Preferred qualifications, capabilities, and skills

Visualization tools (Tableau, Qlik…) Jira Management
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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

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.