Data Management Specialist

Role Highlights

• Play a key role in establishing a modern global
  Product Information Management (PIM) capability
  by preparing, cleansing, and migrating product data from legacy systems into the Akeneo PIM.
• Collaborate with business and technology subject matter experts to
  refine attribute mappings, data models, and completeness rules
  .
• Maintain, improve, and execute reusable
  data migration
  templates and automation scripts to streamline repetitive data tasks, using and enhancing custom-built tools in
  Excel
  (Power Query, dynamic formulas) and
  Python
  (pandas, csvkit).
• Validate and reconcile migrated data across multiple test cycles, ensuring accuracy, consistency, and quality.
• Contribute to process improvement by introducing lightweight
  automation
  and
  better data-governance practices
  .
• Work in a
  collaborative, hybrid team environment
  combining technical precision with business understanding in the manufacturing and retail industries (B2B focus).
• Competitive compensation
  and flexible work environment.
• Work in a small, agile team
  with fast decision-making and real impact from day one.

Role Description

This is a contract position for a

hands-on Data Analyst / PIM Data Management Specialist
supporting our manufacturing client with headquarters in Melbourne and subsidiaries in Europe, Asia and New Zealand. They are implementing a global Product Information Management (PIM) capability based on the Akeneo SaaS platform, to acquire, centralise, enhance, and master product data across manufacturing, marketing, sales, and digital channels. This role will support the data migration and cleansing stream of the PIM project — ensuring clean, complete, and well-structured product data is prepared and migrated into Akeneo.

This role suits a detail-oriented, technically capable individual who enjoys working with large datasets, CSV transformations, and automating repetitive data operations. You'll join a small, agile delivery team collaborating with internal and external SMEs to continuously improve product data quality.

Key Responsibilities

• Extract, cleanse, and transform
  product data from Salesforce and other systems into Akeneo-ready formats using Excel, Python, and command-line tools.
• Execute data migrations
  — preparing, validating, and uploading CSV files into Akeneo, and reviewing import logs and outcomes for accuracy.
• Develop and maintain data-migration tools
  , including Excel templates, Power Query models, and Python scripts for mapping, validation, and automation.
• Collaborate with business SMEs and technical teams
  to refine attribute mappings, family structures, select lists, and reference entities.
• Perform data quality assurance
  through reconciliation, completeness checks, and exception tracking across multiple test cycles.
• Identify opportunities for automation
  and process improvement within the data migration and validation workflows.
• Document and improve repeatable processes
  for data migration, cleansing, and QA to build out a scalable "data migration factory."
• Coordinate and support business users
  in data remediation and attribute clarification during migration preparation.

Your Qualifications

• Advanced proficiency in
  Microsoft Excel
  , including Power Query, structured tables, and modern formulas (LET, LAMBDA, dynamic arrays).
• Strong working knowledge of
  Python
  for data manipulation and automation (using pandas, csv, or similar libraries).
• Practical experience with
  data migration and ETL lifecycles
  — extract, transform, load, and validation.
• Skilled in handling
  large CSV datasets
  , including delimiters, quoting, and file integrity.
• Familiarity with
  command-line utilities
  (e.g., csvkit, grep, xsv) for data validation and transformation.
• Exposure to
  version control systems
  such as GitHub.
• Experience with
  PIM/MDM systems
  (ideally Akeneo) and
  Salesforce Product2
  data structures is advantageous.
• Understanding of
  data governance
  , attribute completeness, and reference entity concepts.
• Experience working with
  product data
  in manufacturing, wholesale, or retail environments.
• Strong
  attention to detail
  ,
  analytical thinking
  ,
  clear communications
  , and ability to work both independently and collaboratively in a hybrid setting.

Additional Details

Our client is located in
Melbourne's northern suburbs
, along major transport routes. Hybrid working is possible. The initial contract will be for 6 months, with a potential / likely extension.

This role offers a unique opportunity to shape the foundation of a global manufacturer's PIM journey.