Master Data & BI Analyst

Turn Data Into Better Decisions

We're looking for a proactive Master Data & BI Analyst to join our IT team and help strengthen Barker's data quality, reporting capability, and business intelligence practices.

This hands-on role plays a key part in ensuring trusted master data, meaningful insights, and effective reporting are available across the organisation. You'll work closely with teams across Sales, Finance, Operations, Supply Chain, Manufacturing, and R&D, helping turn data into better decisions and drive continuous improvement.

About Us

Nestled at the foot of the Four Peaks Mountain Range in Geraldine, Barker's has proudly operated from the corner of the original family farm since 1969. Today, with over 230 employees across New Zealand, Barker's continues to invest in innovation, people, and exceptional product experiences.

Living The Barker's Way means bringing passion, care, curiosity, and innovative thinking to everything we do.

The Role

As a Master Data & BI Analyst, you'll take ownership of critical master data processes while supporting and enhancing business intelligence and reporting solutions across Barker's.

This is a role with visibility and impact across the business, where you'll balance day-to-day operational support with longer-term improvements to data quality, reporting, and business insight.

Key Responsibilities

• Maintain and improve key master data, including products, customers, suppliers, pricing, and business hierarchies.

• Ensure data accuracy, consistency, and governance across systems.

• Investigate and resolve data quality issues, identifying opportunities for improvement.

• Create and maintain documentation, standards, and processes for master data management.

• Develop, maintain, and enhance Power BI dashboards, datasets, and reports.

• Support business teams with reporting, analysis, and data-driven decision-making.

• Write SQL queries and work with business data sources to deliver accurate insights.

• Assist in the administration and governance of reporting environments.

• Support Barker's cloud-based data platform and data integration processes.

• Contribute to automation, digital improvement, and emerging AI initiatives.

• Identify opportunities to streamline reporting and improve data accessibility.

• Collaborate with stakeholders to understand business needs and translate them into effective reporting solutions.

• Provide support and training for Power BI users and business stakeholders.

• Work closely with teams across Sales, Operations, Supply Chain, Manufacturing, Finance, and R&D.

• Build strong working relationships and promote a culture of data quality and continuous improvement.

Experience with any of the following would be advantageous:

• Snowflake

• Python

• APIs and data integrations

• Data warehouses

• Modern cloud-based data platforms

A tertiary qualification in Information Systems, Data Analytics, Computer Science, Business Analytics, or a related field is preferred, but equivalent experience is equally valued.

What We Offer

• Make a visible impact – Help improve the quality, accessibility, and value of data used across Barker's every day.

• Work with modern technologies – Gain exposure to Power BI, Snowflake, cloud-based data platforms, APIs, and emerging AI solutions.

• Grow your career – Develop your skills across business intelligence, master data management, analytics, and data engineering.

• Partner with the business – Work directly with leaders and teams across the organization to solve real business challenges.

• Supportive and collaborative culture – Join a team that values learning, sharing knowledge, and helping each other succeed.

• A trusted New Zealand brand – Be part of a values-led company with a proud heritage and exciting future.

• Lifestyle and balance – Enjoy the benefits of living and working in beautiful South Canterbury while taking on meaningful and rewarding work.

How to Apply

If you're naturally curious, enjoy solving problems, and want to help a well-known New Zealand brand make better use of data, we'd love to hear from you.

Apply now with your CV and a brief cover letter outlining your relevant experience.