At a Glance
- Tasks: Analyze maintenance data and present KPIs to improve factory performance.
- Company: Join Mars Wrigley, home to iconic brands like SNICKERS® and M&M'S®.
- Benefits: Enjoy perks like an on-site gym, hot food restaurant, and private medical insurance.
- Why this job: Be a key player in enhancing factory efficiency while developing your data skills.
- Qualifications: Experience in data analysis, Power BI, Excel, and SAP is essential.
- Other info: Opportunity for training and growth with access to Mars University.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Job Description:
Maintenance Data Analyst – Mars Wrigley
Plymouth
Competitive salary + company bonus
Permanent
Benefits –
• Hot food restaurant
• On-site Gym
• Private medical insurance and free flu jabs
• Free on-site parking
• Employee shop with monthly allowance
• On-site nurse/osteopath/podiatrist
The Data Analyst Role at Mars Wrigley is a fairly new role and therefore gives the successful candidate an opportunity to express themselves in how the data is presented. It is a role that requires software skills and an ability to establish inter-personal relationships with a variety of Team members across the site, interacting with all levels of associates in various departments. There are numerous training courses available to expand your knowledge of the various IT systems utilised to benefit the whole business. It will give you the freedom to
improve the efficiency of the Factory.
What are we looking for?
- Experience in Data analysing and amalgamation of systems
- Report writing and presentation to Leadership team level
- Power BI and Excel design and implementation
- SAP experience in FMCG business
- Training experience
- Availability to work onsite
What will be your key responsibilities?
- The Maintenance Data Analyst collects all data for the maintenance team and translates this into the KPIs the team needs to monitor performance. The role is key for the maintenance department to provide leading indicators of performance to improve the overall factory performance. The maintenance data Analyst is responsible for coaching and leading others to ensure they understand the benefit of data collection and have the capability to record data accurately.
- Ensure all maintenance expense spend is correctly and accurately categorised and reported on a weekly and periodic basis. Create recommendations for action and identify value leadership opportunities within the budget. Partner with finance to create the appropriate reporting process and systems where required
- Collect data and update the maintenance safety, quality and performance KPIs on a weekly, daily and periodic basis. Create automated systems for the collection of data. Based on the data, provide recommendations for action to improve performance and recommendations for KPIs that can further aid maintenance.
- Perform the role of CMMS key user for site. Actively participate in the regional community, complete testing and implementation of new updates for the site and recommendations to the region for improvement on behalf of the site.
- Train all maintenance technicians on correctly using CMMS and ensure all work is correctly recorded and purchase orders correctly managed through the system. Partner with operations to train Operators on the correct use of SAP
- Partner with other sites to share data & KPIs to improve processes and systems on both home site and other sites across the region and globe.
- Present KPIs to technicians and technical leadership teams in FMOS and periodic reviews.
- Be a technology ambassador to find system opportunities to improve maintenance data collection and accuracy within the technical team.
- Maintains training records for the technical teams
What can you expect from Mars?
- Work with diverse and talented Associates, all guided by the Five Principles.
- Join a purpose driven company, where we\’re striving to build the world we want tomorrow, today.
- Best-in-class learning and development support from day one, including access to our in-house Mars University.
- An industry competitive salary and benefits package, including company bonus.
Wrigley is proudly part of Mars, Incorporated, the company behind some of the world\’s best loved brands. In 2016, Mars combined its Chocolate and Wrigley businesses to create Mars Wrigley. Mars Wrigley\’s confectionary portfolio includes Chocolate brands such as SNICKERS®, M&M\’S®, GALAXY®, MALTESERS and TWIX®, as well as Gum and Mints like DOUBLEMINT®, EXTRA®, ORBIT®, 5™ and Fruity Confections including SKITTLES® and STARBURST®. Mars Wrigley is just one of Mars\’ diverse global businesses, which also includes Petcare, Food, Drinks and Symbioscience
Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Maintenance Data Analyst - Mars Wrigley employer: Mars
Contact Detail:
Mars Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Maintenance Data Analyst - Mars Wrigley
✨Tip Number 1
Familiarize yourself with Power BI and Excel, as these tools are crucial for the role. Consider taking online courses or tutorials to enhance your skills in data visualization and reporting.
✨Tip Number 2
Network with current employees at Mars Wrigley, especially those in the maintenance or data analysis departments. They can provide insights into the company culture and expectations for the role.
✨Tip Number 3
Prepare to discuss your experience with SAP and how it relates to FMCG. Be ready to share specific examples of how you've used data to drive performance improvements in previous roles.
✨Tip Number 4
Highlight any training or coaching experience you have, as this is a key responsibility of the role. Think of ways you can demonstrate your ability to lead and educate others on data collection and analysis.
We think you need these skills to ace Maintenance Data Analyst - Mars Wrigley
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in data analysis, report writing, and any specific software skills like Power BI and Excel. Tailor your CV to showcase how your background aligns with the responsibilities of the Maintenance Data Analyst role.
Showcase Interpersonal Skills: Since the role requires establishing relationships across various teams, include examples in your application that demonstrate your ability to communicate effectively and collaborate with different departments.
Detail Your Technical Skills: Clearly outline your experience with SAP and any other relevant IT systems. Mention any training you've conducted or participated in, as this is a key aspect of the job.
Craft a Strong Cover Letter: Use your cover letter to express your enthusiasm for the role and the company. Discuss how you can contribute to improving factory performance through data collection and analysis, and mention your commitment to continuous learning and development.
How to prepare for a job interview at Mars
✨Showcase Your Data Skills
Be prepared to discuss your experience with data analysis, particularly in Power BI and Excel. Highlight specific projects where you successfully implemented data solutions or improved processes.
✨Demonstrate Interpersonal Skills
Since the role requires interaction with various team members, share examples of how you've effectively communicated and collaborated with different departments in previous positions.
✨Prepare for Technical Questions
Expect questions related to SAP and CMMS systems. Brush up on your knowledge of these tools and be ready to explain how you've used them to enhance maintenance operations.
✨Emphasize Continuous Improvement
Discuss your approach to identifying opportunities for efficiency improvements. Be ready to provide examples of how you've used data to make recommendations that led to better performance outcomes.