Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst

Countess Wear
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

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.

Please note, this is NOT a remote role.

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 in 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.

You will also have the following: -

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. The role comes with the following benefits package: -

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

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.