Data Analyst

Hills Pet Nutrition; Sydney; On-site; AUD 90,000 - 130,000; Full time

Job summary

Hills Pet Nutrition in Sydney, Australia, seeks a Data Analyst on a 12-month contract to own the BI reporting ecosystem across Tableau and Domo. You will maintain dashboards, data flows, and pipelines supporting commercial decision-making.

You will collaborate with CBS data engineers, translate stakeholder needs into actionable insights, and drive data quality improvements across ANZ reporting to ensure trusted, self-service analytics for business teams.

Qualifications

• Degree in a quantitative field such as Computer Science, Statistics, Data Science.
• At least 2 years in a Data Engineer or Data Analyst role.
• Hands-on Tableau and Domo experience (2+ years).
• Strong SQL and cloud data warehouses (BigQuery, Snowflake) experience.
• Proficient in Python or R for data manipulation and analytics.

Responsibilities

• Build and optimize dashboards and data flows; troubleshoot data issues.
• Query and prep data using SQL in Snowflake and BigQuery.
• Translate stakeholder needs into reporting and insights.
• Ensure dashboards and pipelines run smoothly and timely.
• Improve processes and data quality with root cause analysis.
• Support ANZ projects with insight-led reporting and trends.

Skills

Data analysis

Stakeholder communication

Python/R basics

SQL proficiency

Education

Bachelor's degree in a quantitative field

Tools

Tableau

Domo

Snowflake

BigQuery

Google Cloud Storage

Job description

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