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- Tasks: Analyse data to drive strategic decisions and enhance operational efficiency.
- Company: Established company with over 40 years of experience and ambitious growth plans.
- Benefits: Competitive salary, 25 days holiday, onsite gym, and a modern office environment.
- Why this job: Make a real impact by shaping the future data architecture of a growing organisation.
- Qualifications: Experience in data analysis, SQL proficiency, and strong communication skills required.
- Other info: Dynamic team culture with regular socials and opportunities for professional development.
The predicted salary is between 36000 - 60000 £ per year.
Location: Poole
Salary: to £50k DOE + annual discretionary bonus c 10% of annual salary
Hours: 8.30am-5pm Mon-Fri Office based (some hybrid after probation)
Benefits: 25 days hols + Christmas shutdown, parking permit, onsite gym with exercise classes weekly. Modern open plan offices. New benefits package in 2026, regular socials, charity days, large staff room.
Aspire Jobs are working exclusively with our client who have been established for over 40 years and who have an impressive growth plan for the next 3-5 years. Now looking for an experienced, highly analytical and detail focused Data Analyst to help them work out what the data is currently doing for the business and helping set up and analyse new processes to make that more accessible.
The successful Data Analyst will:
- Be a real team player
- Have excellent communication and presentation skills, with the ability to convey complex data insights to non-technical audiences.
- Have proven experience in a Data Analyst or similar analytical role
- Know how to design and put together a database and databases generally. This will include lots of reporting
- Have experience of working out what the data is currently doing for the business and how to make it better
- Strong analytical and problem-solving abilities with a keen attention to detail.
Preferred skills and qualifications of the Data Analyst:
- Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field
- Proficient in SQL and data visualisation tools such as Power BI or Tableau
- Practical experience in developing data warehouse solutions as part of a broader data architecture
- Exposure to Microsoft Fabric implementations, including Azure Data Factory, SSIS, or SSRS
- Advanced Excel skills, including pivot tables, complex formulas, and macros
- Familiarity with statistical analysis tools such as Python, R, or SAS is advantageous
- Experience with Power Platform tools, including PowerApps, Power Automate, and DAX/M languages in Power BI
- Previous involvement in reporting and analytics for CRM and ERP systems.
In this role, you will harness data from across the organisation to generate actionable insights that drive strategic decision-making, enhance risk management, and improve operational efficiency. Reporting to the Head of IT, you will play a key role in shaping the future data architecture of the business. This includes ensuring that their technical platforms, data models, and analytical capabilities are aligned with both current needs and the long-term vision of becoming a truly data driven organisation. You will work closely with stakeholders across all operational levels and departments, identifying opportunities to maximise the value of data. Additionally, you will provide guidance on the effective use of business analytics platforms, promote the adoption of corporate data models, and support the principles of data ownership and governance.
Responsibilities of the Data Analyst:
- Analyse and document the data structures of all core applications and reporting systems
- Contribute to the design and implementation of a scalable, modern technical data architecture
- Support the development and maintenance of standardized data artefacts and models to meet the company’s Management Information (MI) requirements
- Build and maintain dashboards and reports using tools such as Power BI and Excel, under the direction of the Head of IT
- Assess the impact and risks to data integrity resulting from changes in the company’s application and technology landscape
- Ensure accuracy, consistency, and reliability of data across all systems and reporting outputs
- Perform impact assessments and scenario modelling to inform strategic initiatives
- Collaborate with business stakeholders to develop functional-level reports that support core operational processes.
Data Analyst employer: Aspire Jobs
Contact Detail:
Aspire Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially those in data roles. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your best data projects or analyses. When you get that interview, bring it along to demonstrate your expertise and how you can add value to their team.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data analysts. Think about how you can explain complex data insights in simple terms – remember, they want to see your communication skills too!
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application directly. Plus, it shows you're genuinely interested in joining our team. Don't miss out on this opportunity!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your analytical skills, experience with SQL, and any relevant tools like Power BI or Tableau. We want to see how your background aligns with 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 growth plans. Keep it concise but engaging – we love a good story!
Showcase Your Communication Skills: Since you'll be conveying complex data insights to non-technical audiences, make sure to demonstrate your communication skills in your application. Use clear language and examples that show how you've made data accessible in the past.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity at StudySmarter!
How to prepare for a job interview at Aspire Jobs
✨Know Your Data Tools
Make sure you brush up on your SQL and data visualisation tools like Power BI or Tableau. Be ready to discuss how you've used these tools in past roles, as well as any specific projects where they made a significant impact.
✨Communicate Clearly
Since you'll need to convey complex data insights to non-technical audiences, practice explaining your past projects in simple terms. Use examples that highlight your ability to make data accessible and actionable for everyone.
✨Show Your Analytical Skills
Prepare to showcase your problem-solving abilities. Think of specific instances where you identified issues within data processes and how you improved them. This will demonstrate your keen attention to detail and analytical mindset.
✨Understand the Business Context
Research the company’s growth plans and how data plays a role in their strategy. Be ready to discuss how you can contribute to their goals by leveraging data insights, which shows you're not just a number cruncher but a strategic thinker.
