Asset Data Analyst / Master Data Analyst | Excel, SAP EAM, ALM, S/4HANA, Reports
Contract asset/master data analyst role (AUD $750–896/day, through to March 2027) at Milsons Point, Sydney (50% onsite). The person cleanses, validates and reconciles asset records in an SAP S/4HANA environment — mostly using advanced Excel to compare datasets and produce data-quality reports alongside a Technical Data Lead and SMEs.
- Compensation
- A$750–A$896 / day
- Location
- Milsons Point, Sydney NSW
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data analytics
- Posted
Skills
Must have
- Strong Excel capability for manipulating and comparing datasets, matching records, finding missing/duplicate data and producing accurate summaries
- Experience analysing asset registers, maintenance information or enterprise master data, with working knowledge of SAP-derived data and its business meaning
- Hands-on data cleansing, validation, reconciliation and exception analysis
- Ability to work with established asset structures, attributes, field definitions, templates and quality rules
- Working-level EAM and ALM knowledge appropriate to asset-data analysis
- Clear communication and documentation skills, strong attention to detail, relevant qualifications or equivalent professional experience
- Appropriate Australian working rights and residence in NSW for the assignment
Nice to have
- Transport, maritime or other heavy-asset industry experience
- S/4HANA EAM/PM master data experience
- SAP Fiori or reporting exports experience
- Maintenance systems experience
- Repeatable Excel-based analysis
- Business-intelligence reporting experience
Full description
Salary: Competitive Rates - WFH Hybrid
- $750 – $896 per day
- ASAP start through to 31 March 2027; possible extension
- Milsons Point, Sydney — hybrid
- Hands-on Excel, SAP asset-data analysis, cleansing and reconciliation
- Work alongside a Technical Data Lead and operational SMEs within an established data structure
Infinity Pro is seeking an experienced Asset Data Analyst / Master Data Analyst to support the quality, preparation and reporting of information used in an SAP S/4HANA asset-management environment.
You will work with a Technical Data Lead and business SMEs to compare data extracts, investigate discrepancies, validate information and prepare accurate asset records for use in the system.
An asset hierarchy and data blueprint are already established. The focus is on building and improving the data within that structure, rather than designing a new data model.
This is a practical opportunity for someone who combines strong Excel analysis with an understanding of asset/master data and relevant SAP processes. It is not primarily a data-science or dashboard-development assignment.
Essential Experience
- Strong Excel capability for manipulating and comparing datasets, matching records, identifying missing or duplicate information and producing accurate summaries.
- Experience analysing asset registers, maintenance information or enterprise master data, with working knowledge of SAP-derived data and its business meaning.
- Hands-on data cleansing, validation, reconciliation and exception analysis, including investigating why records differ across sources.
- Ability to work with established asset structures, attributes, field definitions, templates and quality rules when preparing or checking new information.
- Working-level EAM and ALM knowledge appropriate to asset-data analysis. Please explain your Asset Lifecycle Management understanding and distinguish it from direct SAP Cloud ALM exposure.
- Clear communication and documentation skills, strong attention to detail, and relevant qualifications or equivalent professional experience.
Highly Regarded but Not Essential
- Transport, maritime or other heavy-asset industry experience would be advantageous.
- Additional relevant experience includes S/4HANA EAM/PM master data, SAP Fiori or reporting exports, maintenance systems, repeatable Excel-based analysis and business-intelligence reporting.
We are looking for someone who can analyse asset information accurately, understand its context and work effectively with the data lead and SMEs.