Data Analyst

About the role

The Data Analyst (12-month Contract) reports to the Commercial Data Analyst within the Hill's ANZ Customer Development – ODG/Retail Marketing team and owns the BI reporting ecosystem across Tableau and Domo. The role focuses on maintaining and optimising dashboards and data flows, managing data pipelines into our BI tools, and partnering closely with CBS data engineers on more complex data engineering, modelling, and pipeline design. You will play a key role in elevating our ANZ reporting and insights ecosystem so that stakeholders have reliable, trusted, and actionable reporting that underpins commercial decision-making across the business.

Key responsibilities

• Build, update, and optimise dashboards and data flows, and troubleshoot refresh or data quality issues to ensure reporting reliability

• Query and prepare data using SQL in Snowflake and BigQuery, manage file ingestion via Google Cloud Storage, and partner with IT/CBS data engineers on pipeline fixes and enhancements

• Translate commercial stakeholder needs into functional reporting, deliver actionable insights, and promote data accessibility and self-service across teams

• Maintain smooth, accurate, and timely dashboard and pipeline operations so that stakeholders trust and actively use reports to make business decisions

• Proactively improve processes, documentation, and data quality, including contributing to root cause analysis and sustainable fixes for recurring data or reporting issues

• Support significant ANZ commercial projects and business reviews with insight-led reporting and analysis that highlights trends, performance drivers, and opportunities

About you

• Bachelor's degree in a quantitative field such as Computer Science, Statistics, Data Science, Information Systems, or equivalent practical experience

• At least 2 years of experience as a Data Engineer or Data Analyst in a cross-functional, business-facing environment

• Minimum 2 years of hands-on experience with Tableau (dashboards and Tableau Prep Builder) and Domo

• Strong SQL and relational database skills, with practical experience working with Google Cloud Storage, BigQuery, or Snowflake

• Proficiency in data analysis using Python or R, with the ability to manipulate, transform, and validate data for reporting and analytics purposes