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For Companies At a Glance
- Tasks: You'll create and implement analytical solutions for data-driven decisions.
- Company: Join a global manufacturing leader making waves in the industry.
- Benefits: Enjoy a competitive salary, hybrid work, and great corporate perks.
- Why this job: Be part of a dynamic team that values innovation and impact.
- Qualifications: Looking for analytical thinkers with a passion for data and problem-solving.
- Other info: This role is Monday to Friday, perfect for work-life balance.
The predicted salary is between 28800 - 48000 £ per year.
Competitive Salary + Benefits
Castleford - Hybrid
Days Only (Mon-Fri)
gap technical are proud to be representing this global manufacturing business in their search for an Analytics Business Partner to work at their facility based near Castleford.
Performance Objectives
You will define and implement robust analytical solutions to support data-driven decision-making across the business.
Analytics Business Partner employer: Gap Technical Ltd
Contact Detail:
Gap Technical Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Business Partner
✨Tip Number 1
Familiarise yourself with the specific analytical tools and software that are commonly used in the manufacturing sector. Highlighting your proficiency in these tools during networking or interviews can set you apart from other candidates.
✨Tip Number 2
Connect with current employees at the company on LinkedIn to gain insights into their work culture and expectations for the Analytics Business Partner role. This can also help you tailor your approach when discussing your fit for the position.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data analytics to drive business decisions in previous roles. Being able to articulate your impact will demonstrate your value to the hiring team.
✨Tip Number 4
Stay updated on industry trends and challenges in the manufacturing sector. Showing that you understand the broader context of the business can impress interviewers and show your commitment to the role.
We think you need these skills to ace Analytics Business Partner
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Analytics Business Partner position. Understand the key responsibilities and required skills, so you can tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise any previous experience in analytics or data-driven decision-making. Use specific examples that demonstrate your ability to implement analytical solutions.
Showcase Technical Skills: Make sure to mention any relevant technical skills, such as proficiency in data analysis tools or programming languages. This is crucial for a role focused on analytical solutions.
Craft a Compelling Cover Letter: Write a personalised cover letter that connects your background to the company's needs. Explain why you're interested in the role and how you can contribute to their data-driven initiatives.
How to prepare for a job interview at Gap Technical Ltd
✨Understand the Business
Before the interview, take some time to research the company and its industry. Understand their products, services, and market position. This will help you tailor your answers to show how your analytical skills can directly benefit their business.
✨Showcase Your Analytical Skills
Be prepared to discuss specific analytical tools and methodologies you have used in previous roles. Highlight any experience with data visualisation, statistical analysis, or predictive modelling, as these are crucial for an Analytics Business Partner.
✨Prepare for Scenario Questions
Expect scenario-based questions where you may need to demonstrate how you would approach a particular analytical challenge. Practise articulating your thought process and the steps you would take to derive insights from data.
✨Emphasise Collaboration
As an Analytics Business Partner, you'll need to work closely with various teams. Be ready to discuss examples of how you've successfully collaborated with others in the past, and how you can bridge the gap between data and decision-making.
