Supply Chain Administrator – Data & Analytics

HRinONE; Manurewa; On-site; NZD 60,000 - 75,000; Full time

Job summary

HRinONE is seeking a Supply Chain Administrator – Data & Analytics for our Auckland-based client in the food manufacturing sector. You will work with production data, investigate discrepancies and ensure data accuracy across multiple sources in a fast-paced environment.

Responsibilities include maintaining daily production records, processing SAP B1 orders, reconciling pallets, and handling goods receipts and inventory adjustments.

Qualifications

• Minimum 2 years' experience in supply chain administration or similar.
• Strong analytical and problem-solving skills with data cross-referencing.
• Proven ability to handle large data volumes accurately in fast-paced environments.
• Good understanding of inventory, production operations and ERP systems.
• Experience with SAP Business One (SAP B1) preferred.
• Strong Excel and data management skills.

Responsibilities

• Maintain and analyse daily production records ensuring data accuracy.
• Process production orders in SAP B1, review and resolve discrepancies.
• Reconcile pallet accounts with CHEP and other supplier pallets.
• Handle goods receipts, inventory invoice processing, stock adjustments and reconciliations.
• Analyse production and inventory data to identify patterns and root causes.
• Maintain accurate records and standardised work processes.
• Provide administrative support to the wider supply chain team.

Skills

Data analysis

Attention to detail

Problem solving

Strong Excel skills

SAP Business One

Tools

SAP Business One

Excel

Job description

Supply Chain Administrator – Data & Analytics

We are looking for a detail-oriented, analytical and highly organised Supply Chain Administrator to join our client in their well-established, busy, and dynamic food manufacturing factory, backed by a leading large multinational group.

This role is ideal for someone who enjoys working with data, investigating discrepancies and solving problems. You'll need strong analytical skills, the ability to connect the dots across different data sources, and the confidence to manage high volumes of data and transactions accurately in a fast-paced manufacturing environment.

Key Responsibilities

Maintain and analyse daily production records, ensuring data accuracy and investigating variances.

Process production orders in SAP Business One (SAP B1), including reviewing, investigating and resolving discrepancies.

Reconcile and manage pallet accounts, including CHEP and other supplier pallets and crates.

Handle supply chain administration tasks, including goods receipts, inventory invoice processing, stock adjustments and reconciliations.

Analyse production and inventory data, identify patterns and discrepancies, investigate root causes and resolve issues.

Maintain accurate records, documentation and standardised work processes.

Provide administrative and operational support to the wider supply chain team.

What We're Looking For

Minimum 2 years' experience in supply chain administration, planning or a similar role.

Strong analytical and problem-solving skills, with the ability to connect the dots, identify patterns and investigate discrepancies across different data sources.

Proven ability to handle large volumes of data and transactions accurately and efficiently in a busy production environment.

Good understanding of supply chain processes, inventory control and production operations.

Demonstrated experience in investigating and reconciling inventory or production variances.

Experience with ERP systems; SAP Business One (SAP B1) preferred.

Strong Excel and spreadsheet skills, with confidence in working with complex datasets.

Excellent attention to detail, organisational skills and the ability to manage competing priorities.

Ability to work independently, meet deadlines and adapt to changing demands in a fast-paced environment.

About You

You're more than just a data processor. You're naturally curious, comfortable working with numbers and enjoy understanding the story behind the data.

You can spot when something doesn't add up, connect information from different sources and take ownership of investigating and resolving discrepancies.

Most importantly, you can maintain accuracy and attention to detail while managing a high volume of transactions in a busy manufacturing environment.