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

Nominate & Attend

Data Analyst

Preston
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst
Permanant vacancy with initial 8 month client assignment
Remote, possibly 2 days on site in Preston occasionally
£(phone number removed) per annum

We are actively looking to secure a Data Analyst to join Experis.

Experis Consultancy is a Global entity with a well-established team with over 1000 consultants on assignment across 20 clients globally. Our UK operation is growing and has very aggressive plans for expansion over the coming years. We form part of the Manpower group of companies that turn over $20 billion a year collectively.

Experis UK have partnerships with major clients across the UK spanning multiple industries; our approach is a very personal one, with both our clients and our own employees. We are passionate about training, technology and career development.

Key Responsibilities

Legacy System Data Support

Understand client's source and legacy HR systems and data structures.
Perform raw data extractions and generate front-end data reports.
Support business teams in identifying data gaps relative to the GSF solution.
HR Org Effectiveness CoE Support

Refresh and maintain datasets across OrgVue and Alteryx (e.g., position datasets, predicted mappings).
Process and track Job Architecture change requests and support governance workflows.
Analyse quarterly mapping data to highlight misalignment or anomalies using Excel and OrgVue.
Ad-hoc & Cross-Functional Support

Support additional strategic initiatives such as the Ad Astra project.
Validate final mappings of ERBS and other hierarchies as needed.
Respond to ad-hoc data requests with timely and accurate outputs.
Required Experience

Experience of HR data/SuccessFactors
Previous experience in a global HR transformation or data migration programme
Familiarity with HR operating models, job architecture, and organisational design principles
Hands-on experience with data mapping, validation, and lifecycle management
Strong analytical and data manipulation skills
Strong communication skills, especially when engaging with non-technical stakeholders
Ability to prioritise, manage multiple workstreams, and escalate where required
Comfortable working in a fast-paced, matrixed environment with global teams
Benefits Include:

Contributory pension scheme
Employee Assistance Program
Medical and Dental cover
22 days holiday + bank holidays
Maternity Pay/Shared Parental leave and paternity leave
Sick pay
All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.