
Global food and pet care company
Site Industrial Data Engineer at Mars
About the role
Job Description:
The Site IE data engineer will partner with the site teams to develop and execute the overall site FI activities to improve site performance by improving data management. They will be responsible for all data reporting
related to site performance KPI reporting and benchmarks and will be the 1st contact for all data reporting systems for improvement and implementation of new tools.
The role is responsible for data integrity and adherence to the established ways of calculation, management through tools and reporting.
What are we looking for?
Minimum:
-
2-3 years of Direct Manufacturing Site experience
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University degree in Ind. Engineering, Engineering or equivalent qualification
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Working knowledge of MSE (TPM) FI tools
-
Role requires travel (25% approx.) to participate in training or support other Sites
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Working knowledge of Power BI, RCLMS and Production reporting
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Strong communication skills
-
Strong data acumen
Preferred:
-
Preferred experience working in relationship-based team environment
-
Certified in Problem Solving Methodologies or similar, Six Sigma Green Belt or Black Belt or actively working towards it
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Advanced Excel skills
-
Project Management knowledge
What will be your key responsibilities?
-
Will be key user for digital solutions: SPOC and provides first-level support & training
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Support local deployment of digital solutions
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Support digital solutions continuous improvement
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Qualified in BI & analytics to work with prepared data sets
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Will be the steward for local data:
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Implement the standard for a data set in a certain area (e.g., in one factory)
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Define & controls data with stakeholders
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Manages data quality issue
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Data cleansing and validation
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High degree of independence and collaboration, communication and influencing skills laterally as well as with site leadership, regional, and global teams
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Direct working relationship with the site Ops team and North America Continuous Improvement community and MSE and IE leads.
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Will be an active member of local & regional IE/MSE team, give functional support to the team when needed
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Daily, weekly, periodically and annual data reporting for line performance such as TRS/OEE by line and equipment including the different elements that build the TRS/OEE reports
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In addition, lines speeds, flowrates, NQC elements such as run setup, re-use, and destruction will be in scope. This will also apply to data required such as MTBF, MTBR, MTBS, etc. for selected lines within the site MSE deployment plan
What can you expect from Mars?
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Work with diverse and talented Associates, all guided by The Five Principles
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Join a purpose driven company, where we’re striving to build the world we want tomorrow, today
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A strong focus on learning and development support from day one, including access to our in-house Mars University
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An industry competitive salary and benefits package, including company bonus
Find out more about what Mars can offer you by visiting our Global Careers site.
#on-site
Required skills
Data reporting
Power BI
Manufacturing analytics
Data integrity
Continuous improvement
Training support
Excel
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About Mars

Mars
BootstrappedMars, Incorporated is an American multinational manufacturer of confectionery, pet food, and other food products and a provider of animal care services founded on June 23, 1911. Mars is headquartered in McLean, Virginia, in the Washington metropolitan area, and is entirely owned by the Mars family.
10,001+
Employees
McLean
Headquarters
$50B
Valuation
Reviews
1 reviews
3.1
1 reviews
Work-life balance
3.0
Compensation
2.5
Culture
3.0
Career
3.5
Management
3.0
55%
Recommend to a friend
Pros
Apprenticeship opportunities in Innovation Banking
Career pathway to Investment Banking/Venture Capital
Graduate program structure
Cons
Below-expected base salary (€50K)
Compensation not meeting salary aspirations
Lower than market rate pay
Salary Ranges
371 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
42 reports
$86,911
total per year
Base
$81,185
Stock
-
Bonus
$5,726
$58,912
$129,041
Interview experience
2 interviews
Difficulty
3.5
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Interview
6
Offer
Common questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Culture Fit
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