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

Nominate & Attend

Data Analyst

Bowerhill
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Overview:
Our client, a leading provider of highways services, is currently seeking an experienced Data Analyst to support operations on a major contract in Wiltshire. This is a fantastic opportunity to join a dynamic team focused on enhancing service delivery through data-driven decision-making.

In this role, you'll be responsible for managing key local systems, collecting and analysing operational data, and identifying actionable insights that support both internal teams and client-facing performance improvements. You’ll play a key part in optimising processes, improving reporting, and maintaining data accuracy across essential platforms.

Key Responsibilities:



Maintain and manage data systems used in highways service delivery.

*

Collect, cleanse, and analyse datasets to identify trends and performance issues.

*

Provide reports and visualisations to support operational and strategic decisions.

*

Support the development and implementation of improved data capture and storage methods.

*

Collaborate with IT and operational teams to resolve system issues.

*

Continually seek to improve reporting tools and workflows through automation and innovation.

Key Skills Required:

*

Advanced Microsoft Excel skills.

*

Strong analytical mindset with the ability to interpret and model data.

*

Logical thinker with effective problem-solving abilities.

*

Highly organised and detail-oriented.

*

Excellent verbal and written communication skills.

*

Strong team player with the ability to work independently and meet deadlines.

Desirable Experience:

*

Proficiency with Microsoft Power Platform (Power BI, Power Automate, Power Apps).

*

Experience working with highways works ordering systems such as HIAMS.

*

Familiarity with tools like Kaarbontech, SharePoint, and Microsoft Visio.

*

Working knowledge of DAX and Power M Query Language.

*

Awareness of data technologies including data warehousing, databases, and machine learning applications.

If interested in this position click apply now and contact Luke Thompson for more information

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 UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science 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 kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

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

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science 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 gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science 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 data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.