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

Nominate & Attend

Data Analyst

M Group Services
Swavesey
5 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

About The Role

Data Analyst

£27,500 - £30,000

Location: Swavesey, Cambridgeshire

Are you a meticulous and detail-oriented individual with a flair for data management? Z-Tech is looking for a proficient Data Analyst in Cambridgeshire.

We are seeking an individual proficient in reviewing, analysing, and processing flowmeter verification reports. You will be responsible for the report analysis for our customers, ensuring the accuracy of all data, analysing issues that arise and identifying the root cause of errors. Working closely with our Technical specialists, you will communicate any identified issues or data concerns.

Key Responsibilities:

Reviewing water technician reports using the Z-Tech asset management database “Z-One” Ensuring all data is accounted for and highlight all recommendations post analysis Proactively enhance reporting processes by identifying inefficiencies/efficiencies Interrogate and interpret available data to aid creation of various graphical comparative reports in line with customer requirements Identifying and confirming correct assets on site for accurate reporting and continuity Swiftly respond to and monitor data-related queries Address queries from site personnel or technicians following their visits Potential overlap in planning of works, depending on business needs Liasing with technicians onsite to ensure correct data capture

Experience:

Previous Water Industry experience (Desirable, but not essential) Knowledge of flowmeters and associated systems enhances task understanding Proficiency in Microsoft Office

What it takes to be successful?

Collaborative Team Player The ability to work independently with initiative Flexibility, embracing change and challenges Motivated Excellent interpersonal and organisational skills High attention to detail and degree of accuracy Professionalism, maintaining a positive attitude, strong work ethic, and high integrity Reliability and meeting commitments

What’s in it for you?

25 days' annual leave plus 8 days' bank holiday Pension scheme Life Assurance Access to our Employee Assistance Programme Opportunities to progress in a successful company Cycle to work scheme Refer a friend scheme

INDTRD

Notes/Brief for Recruitment Team: About The Company

Join a team that's shaping the future of MEICA contracting! At Z-Tech Control Systems, our commitment to customer satisfaction is unwavering. Specialising in Mechanical, Electrical, Control, and Instrumentation support for the UK’s Water, Energy industries, and adjacent markets, we prioritise delivering environmentally sustainable and cost-efficient solutions.

With a workforce of over 300 passionate individuals, we're defined by our enthusiasm to go the extra mile. At Z-Tech, we celebrate diversity and individuality, empowering our team to excel and innovate.

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.