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- Tasks: Analyse and improve datasets for exciting digital products and services.
- Company: Dynamic tech company focused on data innovation.
- Benefits: 25 days holiday, gym flex scheme, and career progression opportunities.
- Why this job: Join a collaborative team and make a real impact with data.
- Qualifications: Experience in data analysis, GIS, SQL, and Python required.
- Other info: Hybrid role with flexible working and internal coaching available.
The predicted salary is between 30000 - 50000 £ 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. This is NOT a remote role.
Responsibilities
- 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!
- 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 practices.
- 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.
Data Analyst in Exeter employer: William Huston Photography
Contact Detail:
William Huston Photography Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Exeter
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions and showcasing your problem-solving skills. Use real-life examples from your experience with SQL, Python, or ETL processes to demonstrate your expertise.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each application. Highlight your relevant skills and experiences that match the job description, especially your knowledge of GIS and data governance practices.
✨Tip Number 4
Apply through our website for a smoother process! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Data Analyst in Exeter
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Python, and any relevant GIS projects. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've identified and solved data-related problems. We’re all about finding efficiencies, so let us know how you’ve done this in the past!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks!
How to prepare for a job interview at William Huston Photography
✨Know Your Data Tools
Make sure you brush up on your knowledge of SQL, Python, and any ETL/ELT processes you've worked with. Be ready to discuss how you've used these tools in past roles, especially in relation to data quality and governance.
✨Show Your Problem-Solving Skills
Prepare examples of how you've identified and resolved data issues in previous positions. Think about specific challenges you've faced and the steps you took to improve data pipelines or datasets.
✨Communicate Clearly
As a Data Analyst, you'll need to collaborate with others. Practice explaining complex data concepts in simple terms. During the interview, focus on how you can effectively share ideas and work with team members.
✨Understand the Company’s Needs
Research the company and its digital products. Be ready to discuss how your skills can help them improve their datasets and support their business goals. Tailor your answers to show that you understand their specific challenges.
