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For Companies At a Glance
- Tasks: Analyse production data to optimise processes and achieve targets.
- Company: Join a dynamic team focused on enhancing production efficiency.
- Benefits: Enjoy private healthcare, wellbeing allowances, and fun events.
- Why this job: Make a real impact with data insights in a collaborative environment.
- Qualifications: Bachelor's degree required; strong analytical skills and proficiency in Python and Power BI preferred.
- Other info: Monthly yoga sessions and enhanced parental leave are included.
The predicted salary is between 36000 - 60000 £ per year.
As a Production Performance Specialist, you will be responsible for analyzing production targets, volumes, and yields. Your primary focus will be to conduct a comprehensive analysis of production flows and outputs against predetermined targets. The insights you provide will play a critical role in optimizing our production processes and achieving our organizational goals.
What You'll Be Doing
- Analyze production targets, volumes, and yields to ensure alignment with organizational objectives.
- Conduct a full analysis of production flows and outputs against predetermined targets.
- Identify and analyze production performance indicators to drive process improvements.
- Collaborate with cross-functional teams to gather relevant data and insights.
- Develop and maintain comprehensive reports and dashboards to monitor production performance.
- Provide actionable recommendations based on data-driven insights.
- Work closely with production teams to implement process improvements and optimize production efficiency.
- Monitor and evaluate the effectiveness of implemented changes.
- Stay up-to-date with industry trends and best practices in production analysis.
What Do You Need
- Bachelor’s degree in business administration, Economics, Engineering, or related field. Master’s degree is a plus.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Proficiency in data analysis tools and techniques - Python and Power BI are strongly preferred.
- Excellent communication and interpersonal skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Strong problem-solving skills with a proactive and solution-oriented mindset.
What We Can Offer You
- Private healthcare
- Wellbeing allowance
- Monthly yoga sessions and quarterly massages
- Annual programme of fun events
- On site restaurant
- Enhanced maternity & paternity leave
- On site parking
Performance Data Analyst employer: Rayner
Contact Detail:
Rayner Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Performance Data Analyst
✨Tip Number 1
Familiarise yourself with the key data analysis tools mentioned in the job description, particularly Python and Power BI. Consider taking online courses or tutorials to enhance your skills in these areas, as demonstrating proficiency can set you apart from other candidates.
✨Tip Number 2
Stay updated on industry trends related to production analysis. Follow relevant blogs, podcasts, or forums to gain insights into best practices and emerging technologies. This knowledge will not only help you in interviews but also show your genuine interest in the field.
✨Tip Number 3
Network with professionals in the production and data analysis sectors. Attend industry events or join online communities where you can connect with others in the field. Building relationships can lead to valuable referrals and insider information about job openings.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data analysis to drive process improvements in previous roles. Having concrete examples ready will demonstrate your analytical skills and problem-solving abilities, making a strong impression during interviews.
We think you need these skills to ace Performance Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the role of a Performance Data Analyst. Emphasise your analytical skills, proficiency in data analysis tools like Python and Power BI, and any experience with production processes.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the job description. Mention how your background in business administration, economics, or engineering makes you a suitable candidate. Include examples of how you've used data to drive process improvements in previous roles.
Showcase Analytical Skills: In your application, provide specific examples of how you've successfully analysed data in the past. Highlight any projects where your insights led to measurable improvements in production or efficiency.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, mention any relevant experiences where you've collaborated with others to achieve common goals. This could include teamwork on projects or initiatives that required input from various departments.
How to prepare for a job interview at Rayner
✨Showcase Your Analytical Skills
As a Performance Data Analyst, your analytical skills are crucial. Be prepared to discuss specific examples of how you've used data analysis tools like Python and Power BI in previous roles. Highlight any projects where your insights led to significant improvements.
✨Understand Production Metrics
Familiarise yourself with key production performance indicators relevant to the role. During the interview, demonstrate your understanding of how these metrics impact overall production efficiency and organisational goals.
✨Prepare for Collaboration Questions
Since the role involves working with cross-functional teams, expect questions about collaboration. Think of instances where you successfully gathered data from different departments and how that contributed to process improvements.
✨Stay Updated on Industry Trends
Research current trends and best practices in production analysis. Being able to discuss these during your interview will show your commitment to staying informed and your proactive approach to optimising production processes.
