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For Companies At a Glance
- Tasks: Analyse data, create reports, and provide insights to drive business decisions.
- Company: Join a dynamic and growing business in Gloucestershire.
- Benefits: Enjoy a competitive day rate with flexible on-site/hybrid work options.
- Why this job: Make an impact by supporting strategic decisions and improving processes.
- Qualifications: Experience as a data analyst with skills in Excel, SQL, and Power BI required.
- Other info: Ideal for those available immediately or on short notice.
We are seeking an Interim Data Analyst for a 6-month temporary assignment with a dynamic and growing business based in Gloucestershire. This role is ideal for a data-driven professional who can provide valuable insights to support decision-making across the business.
Key Responsibilities:
- Collect, analyse, and interpret data to support business operations and strategic decisions.
- Develop dashboards and reports to track key performance indicators (KPIs).
- Work with stakeholders to understand data needs and deliver actionable insights.
- Identify trends, anomalies, and opportunities for process improvement.
- Support data quality, integrity, and governance initiatives.
Skills & Experience Required:
- Proven experience in a data analyst role (preferably in a commercial or operational setting).
- Strong skills in Excel, SQL, Power BI, or similar data visualization tools.
- Ability to manipulate and interpret large datasets effectively.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills to present findings to non-technical stakeholders.
This is an on-site/hybrid role (depending on client preference) in Gloucestershire, with a competitive day rate. If you are immediately available or on a short notice period, we'd love to hear from you.
Interim Data Analyst employer: CV-Library
Contact Detail:
CV-Library Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Interim Data Analyst
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as Excel, SQL, and Power BI. Consider taking a quick online course or tutorial to brush up on your skills, especially if you haven't used these tools recently.
✨Tip Number 2
Prepare to discuss your previous experience in data analysis during the interview. Think of specific examples where your insights led to significant business decisions or improvements, as this will demonstrate your value to potential employers.
✨Tip Number 3
Research the company and its industry to understand their data needs better. This knowledge will help you tailor your responses in interviews and show that you're genuinely interested in contributing to their success.
✨Tip Number 4
Network with professionals in the data analysis field, especially those who work in similar industries. Engaging with them can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Interim Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a data analyst. Focus on your skills in Excel, SQL, and Power BI, and include specific examples of how you've used these tools to drive business insights.
Craft a Compelling Cover Letter: Write a cover letter that addresses the key responsibilities mentioned in the job description. Explain how your previous roles have prepared you for this position and demonstrate your understanding of the importance of data in decision-making.
Showcase Your Analytical Skills: In your application, provide examples of how you've collected, analysed, and interpreted data in past roles. Highlight any dashboards or reports you've developed and how they contributed to business operations.
Prepare for Potential Questions: Anticipate questions related to data quality, integrity, and governance. Be ready to discuss how you've ensured data accuracy in your previous work and how you approach problem-solving when faced with data challenges.
How to prepare for a job interview at CV-Library
✨Showcase Your Data Skills
Make sure to highlight your experience with data analysis tools like Excel, SQL, and Power BI. Be prepared to discuss specific projects where you've used these tools to derive insights or improve processes.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical data problems or interpret datasets. Practise explaining your thought process clearly, as this will demonstrate your problem-solving skills and attention to detail.
✨Communicate Effectively
Since you'll be presenting findings to non-technical stakeholders, practise simplifying complex data concepts. Use clear examples to show how your insights can drive business decisions.
✨Understand the Business Context
Research the company and its industry before the interview. Understanding their key performance indicators and challenges will help you tailor your responses and show that you're genuinely interested in contributing to their success.
