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For Companies At a Glance
- Tasks: Analyse and visualise data to drive business decisions and improve processes.
- Company: Leading food manufacturing company with a focus on innovation.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Make an impact by transforming data into actionable insights in a dynamic environment.
- Qualifications: Experience in data analysis, Power BI, and strong problem-solving skills.
- Other info: Collaborative team culture with exciting projects and career advancement opportunities.
The predicted salary is between 32000 - 40000 £ per year.
K.A.G. Recruitment are delighted to exclusively present an exceptional opportunity for a Data Analyst to join our client, a frontrunner in the Food Manufacturing industry based at their Head Office in Birmingham.
Location: Birmingham (B37)
Salary: £37,000 to £40,000 DOE
Hours: Monday to Thursday 8:30am to 5:00pm, Friday 8:30am to 2:00pm
Role
You will be responsible for overseeing and maintaining all data collection and reporting within the business, translating the data into useful information that can be used by the business and its strategic partners using reports, dashboards and online apps. You will work closely with all members of the team designing and implementing process automation projects, whilst ensuring data quality and integrity, identifying errors and cleaning data.
Key Responsibilities
- Collaborate with internal and external stakeholders to understand and validate data requirements, ensuring accurate reporting
- Monitor and audit data quality and reporting whilst maintaining data quality standards
- Produce visualisations and reports and present findings to both technical and non-technical stakeholders in a clear, actionable manner
- Create data dashboards, graphs and visualisations
- Correspond with customers and deliver on AD-HOC data requests and regular reports
- Completion of weekly, monthly and quarterly reports under strict deadlines
- Work closely with all departments within the business to ensure data reporting activities align with overall business needs and future demand
- Participate in cross-functional initiatives to drive process excellence, innovation, and supply chain integration
Skills
You will be analytical in approach and possess experience in provision of systems support and analysis, process, design, delivery and management of business systems. You will have previous experience of working with data collection and Power BI. SQL would also be highly advantageous but not essential. You will have excellent problem solving, decision making and organisational ability with a keen eye for detail and a passion for excellence and innovation with strong communication and interpersonal skills, with the ability to manage complex relationships with external partners.
Data Analyst in Birmingham employer: KAG Recruitment Consultancy
Contact Detail:
KAG Recruitment Consultancy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Birmingham
✨Tip Number 1
Network like a pro! Reach out to people in the food manufacturing industry on LinkedIn or at local events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. Think about how you can showcase your experience with data collection and Power BI. We want you to shine when it comes to discussing your skills!
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications after a week or so. A quick email can show your enthusiasm and keep you on their radar. Plus, it’s a great way to ask if they need any more info from you.
✨Tip Number 4
Check out our website for the latest job openings. We’re always updating our listings, and applying directly through us can give you an edge. Let’s get you that Data Analyst role!
We think you need these skills to ace Data Analyst in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data collection, reporting, and any tools like Power BI or SQL that you’ve used. 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 Analytical Skills: In your application, don’t forget to showcase your analytical skills. Mention specific projects where you’ve translated data into actionable insights or improved processes. We’re all about innovation and excellence here at StudySmarter!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. We can’t wait to see what you bring to the table!
How to prepare for a job interview at KAG Recruitment Consultancy
✨Know Your Data Tools
Make sure you brush up on your knowledge of data collection tools and Power BI before the interview. Be ready to discuss how you've used these tools in past roles, as well as any experience with SQL, even if it's not essential.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical approach to problem-solving. Think about specific instances where you've identified errors in data or improved reporting processes, and be ready to share these stories during the interview.
✨Communicate Clearly
Since you'll be presenting findings to both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. This will demonstrate your strong communication skills and ability to collaborate effectively.
✨Understand the Business Context
Research the food manufacturing industry and the specific company you're interviewing with. Understanding their business needs and how data plays a role in their operations will help you tailor your responses and show your genuine interest in the position.
