Digital Manufacturing Supply Excellence (MSE) Analyst

About the role

Mars is hiring a Digital Manufacturing Supply Excellence (MSE) Analyst in its Pet Nutrition segment, based in Wodonga. This is a permanent, full-time position reporting to the ANZ Digital MSE Lead. The role embeds digital solutions into daily manufacturing processes, bridging physical work processes and digital systems and coaching factory-floor associates and leaders to use analytics and automation.

Key responsibilities

• Design, build and deploy site-specific dashboards and reports using Power BI, SQL and other Mars-approved data platforms.
• Analyse physical work processes and turn reporting requests into clean, intuitive, standardized visual tools, advising users on layout and visual storytelling.
• Clean, model and govern site-level relational databases to establish a single source of truth for manufacturing performance.
• Partner with the ANZ Digital MSE Product Lead and central Digital Technology teams so secure data pipelines flow from shop-floor hardware into local databases.
• Lead discovery sessions to audit, debug and resolve data anomalies, and coach teams to move from raw figures to actionable insights.
• Guide site teams through technology and process changes and act as the on-site point of contact for digital issues.
• Ensure consistency of process and tools across Pet Nutrition sites and keep digital infrastructure robust.
• Build and maintain back-end models tracking Compelling Business Need (CBN) metrics such as rework, downtime and operational deviations.

Required profile

• Bachelor's degree in Data Analytics, Information Technology, Computer Science, Engineering or another quantitative business discipline (or equivalent practical experience).
• 3-5 years of experience in data analytics, business intelligence or analytics engineering.
• Experience in FMCG, supply chain or heavy industrial manufacturing is highly preferred.
• Proven track record of designing and deploying production-grade Power BI suites (advanced DAX, Power Query, star-schema modelling).
• Experience building automated data ingestion workflows (ETL/ELT) and guiding teams through technology or process changes.
• Awareness of Total Productive Maintenance (TPM) or Mars Tactical Efficiency (MSE) methodologies is highly regarded.

Required skills

• Power BI, SQL and relational databases (Postgres)
• Modern data platforms (Microsoft Fabric highly desirable)
• Low-code solutions (Microsoft Power Platform: Power Automate, Power Apps or Weever)