Data Analyst

William Huston Photography
Exeter
5 days ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Overview

We are searching for a Data Analyst / GIS Analyst for an extremely exciting technology and data focused business.

The role is offered on a hybrid basis - you will be required to attend meetings and work at the clients Exeter office as and when required. You will therefore need to live within a commutable distance of Exeter to be considered for this position. This is NOT a remote role.

Responsibilities

Is this position you are responsible for a set of datasets that underpin various digital products and services. You will ensure the quality of these datasets and provide support to the wider business.

You will be identifying and implementing data improvements whilst performing maintenance activities on the datasets - collaborating with colleagues and sharing ideas and experiences is vital to success!

Working as a Data Analyst / GIS Analyst you will need to be inquisitive with a desire to understand and resolve problems. You will also be a strong communicator with the ability to plan, allocate and manage workloads for yourself and other team members.

Qualifications / Experience
  • A qualification in either a GIS or Data related discipline or equivalent professional experience.
  • Practical experience of working in a data analysis role, a data curation role or a data focused GIS role.
  • Experience of developing ETL/ELT processes with the ability to follow best data governance practises - you will be problem-solving and finding efficiencies in existing data pipelines using FME Form and FME Flow.
  • Knowledge and experience of languages such as SQL and Python (or similar) is required.
  • Practical experience of database technologies such as Oracle, SQL Server or PostgreSQL/GIS is a distinct bonus.
  • Experience in cloud-based data tooling/storage is a real bonus.
Benefits
  • 25 days holiday, with optional 5 days unpaid leave per year.
  • Free parking when at office.
  • Annual lifestyle allowance.
  • Cycle to Work Scheme
  • Gym Flex Scheme.
  • Internal coaching/mentoring system throughout your time here.
  • Focus on training and career progression.
  • Family friendly policies.
  • Flexible working.

Please note, to be considered for this opportunity you MUST have the Right to Work in the UK long-term without company sponsorship.

KEYWORDS: Data Analyst, GIS Analyst, ETL, ELT, FME, FME Form, FME Flow, SQL, Python, Oracle, SQL Server, PostgreSQL, GIS, Geospatial, Cloud Tooling, Cloud Storage.

Please note that due to a high level of applications, we can only respond to applicants whose skills and qualifications are suitable for this position.

No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010.

Bowerford Associates Ltd is acting as an Employment Agency in relation to this vacancy.

LNKD1_UKTJ


#J-18808-Ljbffr

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.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Careers Jobs

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

Jobs

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.