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Data Analyst, Hill's ANZ

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Title: Data Analyst (12-month - Contract role) Location: Sydney Office (Hybrid: Minimum 3 days in office, moving to 4 fixed Mon–Thurs) Role Summary
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Employment
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What you’ll work on

Full posting

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.

  • Build, update and optimise Tableau and Domo dashboards and data flows

  • Troubleshoot refresh and data quality issues to keep reports reliable

  • Query and prepare data with SQL in Snowflake and BigQuery

  • Manage file ingestion via Google Cloud Storage and work with CBS data engineers on pipeline fixes

  • Translate commercial stakeholder needs into functional reporting and insights

From the employer’s posting
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.
Build, update, and optimise dashboards and data flows
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

What you’ll bring

All qualifications

Core experience

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

Preferred experience

  • Experience with Circana Unity+ or similar syndicated data platforms.
  • Experience with broader data engineering concepts (e.g., ETL/ELT, data modelling, data warehousing), ideally on cloud platforms.
  • Experience performing root cause analysis on data issues and contributing to process, documentation, and data quality improvements.
  • Familiarity with Python and/or R for data manipulation and automation beyond basic analysis.
Qualification wording
Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Data Science, Information Systems, or equivalent practical experience.
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.
Experience with Circana Unity+ or similar syndicated data platforms.
Experience with broader data engineering concepts (e.g., ETL/ELT, data modelling, data warehousing), ideally on cloud platforms.
Experience performing root cause analysis on data issues and contributing to process, documentation, and data quality improvements.
Familiarity with Python and/or R for data manipulation and automation beyond basic analysis.
Education & alternatives
Required Qualifications - 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.

About Colgate-Palmolive

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition.

In the employer’s words · Read in context

Apply at Colgate-Palmolive

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Status in our records
Live
First seen by us
Oct 16, 202619 days ago
Recorded sightings
106
Last seen by us
Nov 4, 2026

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How this job compares

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Day 19

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Colgate-Palmolive is hiring

38 open jobs

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See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • BigQuery
  • Snowflake
  • Tableau
  • GCP
  • Google Cloud Storage
Where the posting names them
- 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. Preferred Qualifications
- Experience performing root cause analysis on data issues and contributing to process, documentation, and data quality improvements. - Familiarity with Python and/or R for data manipulation and automation beyond basic analysis. - Experience harmonising, processing, and extracting value from large, disconnected datasets in a commercial, CPG, FMCG, or retail environment.
- BI & Reporting (Tableau & Domo): Build, update, and optimise dashboards and data flows, and troubleshoot refresh or data quality issues to ensure reporting reliability. - Data Pipelines & Cloud Infrastructure: 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. - Business Partnership & Analytics: Translate commercial stakeholder needs into functional reporting, deliver actionable insights, and promote data accessibility and self-service across teams.
- 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.
Role Summary 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. Responsibilities
Responsibilities - BI & Reporting (Tableau & Domo): Build, update, and optimise dashboards and data flows, and troubleshoot refresh or data quality issues to ensure reporting reliability. - Data Pipelines & Cloud Infrastructure: 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.
- 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.

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

No Relocation Assistance Offered
Job Number #176569 - Sydney, New South Wales, Australia

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.

 

 

Title:  Data Analyst (12-month - Contract role)

Location: Sydney Office (Hybrid: Minimum 3 days in office, moving to 4 fixed Mon–Thurs)

 

Role Summary  

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.

 

Responsibilities

  • BI & Reporting (Tableau & Domo): Build, update, and optimise dashboards and data flows, and troubleshoot refresh or data quality issues to ensure reporting reliability.

  • Data Pipelines & Cloud Infrastructure: 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.

  • Business Partnership & Analytics: Translate commercial stakeholder needs into functional reporting, deliver actionable insights, and promote data accessibility and self-service across teams.

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

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

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

 

Required Qualifications 

  • 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.

 

Preferred Qualifications 

  • Experience with Circana Unity+ or similar syndicated data platforms.

  • Experience with broader data engineering concepts (e.g., ETL/ELT, data modelling, data warehousing), ideally on cloud platforms.

  • Experience performing root cause analysis on data issues and contributing to process, documentation, and data quality improvements.

  • Familiarity with Python and/or R for data manipulation and automation beyond basic analysis.

  • Experience harmonising, processing, and extracting value from large, disconnected datasets in a commercial, CPG, FMCG, or retail environment.

#LI-VP5


Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives  to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

#LI-Hybrid

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Sydney, NSW, AU

Title: Data Analyst (12-month - Contract role) Location: Sydney Office (Hybrid: Minimum 3 days in office, moving to 4 fixed Mon–Thurs) Role Summary
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Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. #LI-Hybrid
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