Data Analyst (12-Month Contract) - BI Dashboards & Pipelines

Hill's Pet Nutrition

Sydney

Hybrid

AUD 90,000 - 120,000

Full time

15 hours ago
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Job summary

Colgate-Palmolive in Sydney is seeking a Data Analyst on a 12-month contract to own the BI reporting ecosystem across Tableau and Domo, maintaining dashboards and data flows to support commercial decision-making. You will manage data pipelines in SQL using Snowflake and BigQuery, collaborate with CBS data engineers on pipeline fixes, and ensure reliable, actionable reporting for ANZ stakeholders.

The role is hybrid (minimum 3 days in the office, moving to 4 fixed Mon-Thurs) with a focus on data

Qualifications

  • Bachelor's degree in a quantitative field or equivalent practical experience.
  • At least 2 years as Data Engineer/Analyst in a cross-functional environment.
  • 2+ years hands-on with Tableau and Domo.
  • Strong SQL and relational DB skills with Snowflake/BigQuery/GCS experience.
  • Python or R for data manipulation and analytics.

Responsibilities

  • Build, update, and optimise dashboards and data flows in Tableau and Domo.
  • Query and prepare data using SQL in Snowflake and BigQuery; manage data pipelines.
  • Translate stakeholder needs into functional reporting and insights.
  • Maintain reliable dashboards and pipelines to support decision making.
  • Contribute to data quality improvements and documentation.

Skills

Tableau
Domo
SQL
Python
R

Education

Bachelor’s degree in a quantitative field

Tools

Snowflake
BigQuery
Google Cloud Storage
Circana Unity+

Job description

Colgate-Palmolive in Sydney is seeking a Data Analyst on a 12-month contract to own the BI reporting ecosystem across Tableau and Domo, maintaining dashboards and data flows to support commercial decision-making. You will manage data pipelines in SQL using Snowflake and BigQuery, collaborate with CBS data engineers on pipeline fixes, and ensure reliable, actionable reporting for ANZ stakeholders.

The role is hybrid (minimum 3 days in the office, moving to 4 fixed Mon-Thurs) with a focus on data

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