At a Glance
- Tasks: Assist with data analysis, maintain Power BI reports, and support business performance.
- Company: Join a dynamic team in St Ives, Cambridgeshire, for a 6-month contract.
- Benefits: Competitive salary and the chance to work with innovative data tools.
- Other info: Great opportunity for career growth and collaboration across teams.
- Why this job: Make an impact by transforming data into insights that drive business decisions.
- Qualifications: Degree-level education or relevant experience in data analysis required.
The predicted salary is between 31500 - 38500 £ per year.
6 Month Contract
Location: St Ives, Cambridgeshire
Hours: Monday to Friday, 37.5 hours a week
Salary: Competitive
We are looking to recruit a proactive and analytical Data Analyst, this role is a 6 month contract. This is a varied role where you will assist with analytical tasks involving external data and support the maintenance and development of Power BI reports. You will work closely with the Brand, Sales and BI teams, helping to collect, process and analyse data that supports business performance and day-to-day decision-making.
Duties of a Data Analyst:
- Collect market and sell-through data from a range of portals, emails and external sources on a weekly basis.
- Transform and process data before adding it to existing data repositories.
- Update and maintain the current Sell-Through and Golf Datatech Power BI reports.
- Ensure reports remain accurate, valid and error-free.
- Design, code, process and analyse consumer surveys.
- Produce reports and present survey findings and insights.
- Collect and process quarterly data from a range of sources.
- Support the Brand and Sales teams with ad-hoc data analysis requests.
- Create bespoke Power BI reports and Excel spreadsheets to support daily business operations.
- Assist the BI team with preparations for SAP implementation.
- Support the mapping of AS400 data and the design of data tables within Microsoft Fabric.
- Help improve the current customer segmentation model using both internal and external data.
- Share knowledge and experience of data analysis and visualisation techniques with colleagues across the Brand and Sales teams.
What we would like from you:
- Degree-level education or equivalent relevant experience.
- Some experience of survey analysis, market data, sales data or performance metrics.
- Previous experience within an Insights, Business Analyst, Business Intelligence or similar analytical role.
- Strong proficiency in Microsoft Excel.
- Experience using Power BI or equivalent data visualisation and analytical platforms.
- Experience using survey platforms and databases.
- Strong analytical and problem-solving skills.
- Excellent attention to detail.
- Ability to communicate data and insights clearly to a range of stakeholders.
- A proactive approach and willingness to support multiple teams and projects.
Desirable:
- Knowledge of Python.
- Knowledge of SQL.
- Knowledge of DAX.
- Experience working with sales or market data.
- Experience with data visualisation and reporting.
- Experience supporting commercial, brand or sales teams.
If you are interested in this role, please apply below with your most recent CV.
Associate Data Analyst employer: Osborne Appointments
Osborne Appointments is an excellent employer, offering guaranteed weekly hours and a clear pathway to permanent employment for Warehouse Operatives at our Hatfield distribution centre. With a strong focus on employee growth, we provide comprehensive LLOP training and foster a supportive work culture that values teamwork and dedication, making it a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data Analyst
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We think you need these skills to ace Associate Data Analyst
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Osborne Appointments, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Osborne Appointments, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Osborne Appointments’s attention and show the tangible impact of your work.
How to prepare for a job interview at Osborne Appointments
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Osborne Appointments.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Osborne Appointments.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Osborne Appointments.
