M

Mars

Global confectionery, food, and petcare company

Digital Manufacturing Supply Excellence Analyst - Manufacturing Supply Excellence

Data Engineering +1Posted on Nov 13
Full-timeWodonga, AustraliaNo salary listed

About the Job

Requirements

  • A bachelor's degree in Data Analytics, Information Technology, Computer Science, Engineering, or a highly quantitative business discipline, or equivalent practical experience.
  • Three to five years of experience in data analytics, business intelligence, or analytics engineering.
  • Experience designing, building, and deploying production-grade, enterprise-scale Power BI suites using advanced DAX, Power Query, and star-schema modeling.
  • Hands-on experience building automated data ingestion workflows (ETL/ELT) using SQL, relational databases such as Postgres, and modern data platforms.
  • Experience using low-code solutions such as Microsoft Power Platform tools (Power Automate, Power Apps, or Weever) to streamline manual data entry and capture shop-floor feedback.
  • Experience guiding teams through technology or process changes.

Responsibilities

  • Design, build, and deploy high-performance, site-specific dashboards and reports using Power BI, SQL, and other approved data platforms.
  • Analyze physical work processes and translate reporting requests into clean, intuitive, standardized visual tools.
  • Challenge report requests that do not address underlying business problems and advise users on effective layouts, formats, and visual storytelling.
  • Clean, model, and govern site-level relational databases to establish and protect a single source of truth for manufacturing performance.
  • Partner with the ANZ Digital MSE Product Lead and central Digital Technology teams to maintain secure data pipelines from shop-floor hardware into local databases.
  • Lead shop-floor discovery sessions to audit, debug, and resolve data anomalies and build trust in automated metrics among operators and leadership.
  • Coach operational, reliability, and leadership teams to extract actionable insights from raw figures.
  • Guide site teams through technology and process changes.
  • Serve as the on-site point of contact for end-user digital issues and feed user feedback to the ANZ Digital Product Lead for continuous improvement.
  • Ensure consistency of processes and tools across Pet Nutrition sites.
  • Maintain the functional robustness of critical digital infrastructure supporting daily connection points.
  • Build and sustain analytical back-end models tracking Compelling Business Need (CBN) metrics, mapping rework, downtime, and operational deviations to support productive shift conversations.

Desired Qualifications

  • Experience in fast-moving consumer goods (FMCG), supply chain, or heavy industrial manufacturing.
  • Experience with Microsoft Fabric.
  • Awareness of Total Productive Maintenance (TPM) or Mars Tactical Efficiency (MSE) methodologies.

About the Company

Mars

Global confectionery, food, and petcare company

Mars makes confectionery, food, and petcare products and also operates pet health services through networks like Banfield, VCA, BluePearl, and Royal Canin. Its products are marketed under familiar brands such as M&M’s, Snickers, Milky Way, Skittles, Dove, Orbit, Pedigree, Royal Canin, Whiskas, and Cocoavia, sold globally to consumers and pet owners. The company differs from competitors by combining a broad, diversified portfolio with a global, family-owned structure guided by the Mars Principles (Quality, Responsibility, Mutuality, Efficiency, Freedom), which drives its operations and partnerships. Mars aims to help communities prosper and to grow its business while improving social and environmental outcomes, using its scale to support responsible practices across the world.

Company size
10,001+
Company stage
Debt Financing
Total funding
$27B
Headquarters
McLean, VA
Founded
1911

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