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- Tasks: Analyse complex datasets to identify trends and support data quality initiatives.
- Company: Join a leading digital transformation programme in England and Wales.
- Benefits: Enjoy remote work options, a great holiday allowance, and a pension plan.
- Why this job: Be part of a high-performing team and make a real impact on local authorities.
- Qualifications: Strong Excel skills and good communication are essential; GIS knowledge is a bonus.
- Other info: This is a 12-month fixed-term contract with opportunities for hybrid working.
The predicted salary is between 36000 - 60000 £ per year.
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.
Data Analyst employer: Bowerford Associates
Contact Detail:
Bowerford Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Brush up on your Excel skills before the interview, as they will be tested early on. Familiarise yourself with advanced functions and data manipulation techniques to demonstrate your proficiency.
✨Tip Number 2
Since communication is key in this role, practice explaining complex data concepts in simple terms. This will help you convey your ideas clearly during discussions with stakeholders.
✨Tip Number 3
Gain a solid understanding of geospatial data and GIS tools like QGIS or FME. Even if you're not an expert, showing that you have some knowledge can set you apart from other candidates.
✨Tip Number 4
Familiarise yourself with the digital transformation landscape in local authorities. Understanding current trends and challenges can help you engage more effectively during interviews and show your enthusiasm for the role.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasise your strong Excel skills and any experience with data manipulation, GIS, SQL, FME, or QGIS. Tailor your CV and cover letter to showcase these abilities clearly.
Showcase Communication Skills: Since the role requires good communication with various stakeholders, include examples in your application that demonstrate your ability to communicate effectively in a team environment.
Detail Your Experience: Provide specific examples of past projects where you analysed complex datasets or improved data quality. This will help illustrate your hands-on experience and attention to detail.
Research the Company: Familiarise yourself with the digital transformation programme and the role of Local Authorities in England and Wales. Mentioning this knowledge in your application can show your genuine interest in the position.
How to prepare for a job interview at Bowerford Associates
✨Brush Up on Excel Skills
Since strong Excel skills are a must for this role, make sure to review key functions and features. Practice using pivot tables, VLOOKUP, and data visualisation techniques, as these may be tested during the interview.
✨Showcase Your Communication Skills
As you'll be working closely with various stakeholders, it's essential to demonstrate your communication abilities. Prepare examples of how you've effectively communicated complex data insights in previous roles.
✨Familiarise Yourself with Geospatial Data
If you have experience with GIS or geospatial data, be ready to discuss it. Brush up on relevant tools like QGIS or FME, and think about how you've used them in past projects to solve problems or improve data quality.
✨Prepare for Data Quality Discussions
Given the focus on data quality in this role, be prepared to discuss your approach to identifying gaps and ensuring data accuracy. Think of specific instances where you've improved data quality in your previous work.
