Royal Canin
Site Industrial Data Engineer
North Sioux City, Dakota du Sud
Derrière chaque sac de nos produits, il y a une équipe d’ingénieurs et d’experts en fabrication engagés à garantir les standards les plus élevés en matière de qualité et de sécurité. Que tu sois en train d’optimiser les lignes de production, de concevoir des solutions innovantes ou de maintenir des technologies de pointe, ton travail contribue directement à améliorer la vie des animaux partout dans le monde. Rejoins une équipe où l’innovation, la précision et la passion se rencontrent chaque jour.
- Job Type: varies
- Level: mid-level
- Travel: varies
- Average Salary: $63K-$96K
Success Profile
What makes a successful Site Industrial Data Engineer at Royal Canin? We look for the right mix of the following traits when speaking with you.
- Analytical
- Curious
- Efficient
- Responsible
- Results-driven
- Team player
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Purpose
Connect your passion for pets to the purpose: A Better World For Pets
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Health & Wellbeing
A comprehensive focus on your individual health & wellbeing
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Inclusion
A place where you can belong and be yourself
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Career development
Professional learning offerings, annual personal development plans, Mars University
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Attractive total rewards
Your financial wellbeing through a competitve salary and bonus plan
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Focus on sustainability
We invest in you so you can make a better world
Je suis vraiment fier de diriger une équipe passionnée par l’idée de faire une différence pour les animaux. Chaque jour, on se concentre sur la précision, l’innovation et le maintien des standards de qualité les plus élevés. Ce qui distingue vraiment Royal Canin, c’est l’engagement envers le développement—qu’il s’agisse d’améliorer nos processus, d’adopter des technologies de pointe ou d’aider les collaborateurs à évoluer dans leur carrière. C’est incroyablement gratifiant de savoir que notre travail ne se limite pas à générer du succès, mais qu’il crée aussi des opportunités significatives pour toute l’équipe.
JR Smith Directeur du site de North Sioux City, Global Value Chain Operations
The IE Data Engineer strengthens manufacturing performance by developing reliable data processes, analytics, dashboards, and digital solutions that improve visibility, decision-making, and operational execution.
Ultimately, this position helps the site move from data collection to true data utilization, enabling faster decisions, stronger standards, and more sustainable performance improvement.
What are we looking for?
Minimum:
Bachelor’s degree in engineering or related industry
Experience in manufacturing, operations, and or Lean/Continuous Improvement methodologies
0-2 years of manufacturing environment
Experience with data analysis tools
Strong analytical problem-solving skills, ability to work cross-functionally in a fast-paced environment, and highly comfortable engaging directly with operations teams on the production floor
10% domestic travel
Preferred:
Six Sigma Green/Black Belt (preferred) or actively working towards it
Knowledge of Excel, Power BI, ERP, and SQL or similar systems
What will be your key responsibilities?
Analyze manufacturing processes to improve safety, efficiency, throughput, and operational stability
Process, validate, clean, and structure manufacturing data to support accurate reporting and analysis
Build and maintain dashboards, reports, and analytics tools for line performance, TRS / OEE, NQC, downtime, reliability, throughput, and operational losses
Translate manufacturing data into clear insights, trends, and recommended actions for site teams and leadership
Support local deployment, adoption, and continuous improvement of digital solutions, dashboards, and reporting tools
Serve as a local data steward by supporting data quality, standard definitions, validation rules, and stakeholder alignment
Partner with Operations, Technical, MSE, CI, and IE teams to identify data gaps, reporting needs, and improvement opportunities
Support line performance improvement through data analysis, floor validation, and cross-functional problem solving
Develop and maintain labor models, capacity planning tools, staffing analysis, and operational performance reporting
Support continuous improvement activities related to waste reduction, bottleneck analysis, layout, material flow, and standard work
Provide functional support to local and regional IE / MSE teams as needed
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
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