Data Analyst

William Huston Photography; Exeter; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

An exciting technology and data-focused business in Exeter is seeking a Data Analyst/GIS Analyst. This hybrid role involves maintaining and improving datasets that underpin digital services. Candidates must demonstrate experience in data analysis, ETL processes, SQL, Python, and possess the right to work in the UK long-term. The position offers a range of benefits including training, flexible working, and a generous holiday allowance.

Benefits

25 days holiday

Free parking

Annual lifestyle allowance

Cycle to Work Scheme

Gym Flex Scheme

Internal coaching/mentoring

Focus on training and career progression

Family friendly policies

Flexible working

Qualifications

• Practical experience in a data analysis role or data focused GIS role is required.
• Experience with developing ETL/ELT processes and best data governance practices.
• Knowledge of SQL and Python (or similar) is essential.

Responsibilities

• Ensure the quality of datasets that support various digital products.
• Identify and implement data improvements and perform maintenance activities.
• Collaborate with colleagues to share ideas and resolve problems.

Skills

Data analysis

GIS knowledge

SQL

Python

ETL processes

Problem-solving

Data governance

Education

Qualification in GIS or Data related discipline

Tools

FME Form

FME Flow

Oracle

SQL Server

PostgreSQL

Job description

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 client's 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.

You will be 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.

Qualifications

• 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.

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.