Data Analyst - BI & Dashboards (12-Month Contract, Hybrid)

Colgate-Palmolive

Sydney

Hybrid

AUD 90,000 - 130,000

Full time

5 days ago
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Job summary

Colgate-Palmolive is seeking a Data Analyst on a 12-month contract in Sydney. The role reports to the Commercial Data Analyst within the Hill's ANZ Customer Development team and owns the BI reporting ecosystem across Tableau and Domo.

You will maintain dashboards, data flows, and data pipelines to support commercial decision‑making. You will partner with CBS data engineers on more complex data engineering, modelling, and pipeline design, drive data accessibility, and help elevate ANZ reporting

Qualifications

  • Bachelor’s degree in a quantitative field or equivalent practical experience.
  • 2+ years’ experience as a Data Engineer or Data Analyst in a cross‑functional environment.
  • Hands‑on experience with Tableau and Domo required.
  • Strong SQL skills and familiarity with cloud data stores (GCS / BigQuery / Snowflake).

Responsibilities

  • BI & Reporting: Build, update, and optimise dashboards and data flows in Tableau and Domo.
  • Data Pipelines: Use SQL to query data in Snowflake and BigQuery; manage file ingestion.
  • Analytics: Translate stakeholder needs into actionable reporting and insights.
  • Reliability: Ensure dashboards and pipelines run smoothly and are trusted by stakeholders.
  • Continuous improvement: Improve processes, data quality, and documentation.
  • Support initiatives: Deliver insight-led reporting for ANZ commercial projects.

Skills

SQL
Python
R
Data analysis

Education

Bachelor’s degree in quantitative field

Tools

Tableau
Domo
BigQuery
Snowflake

Job description

Colgate-Palmolive is seeking a Data Analyst on a 12-month contract in Sydney. The role reports to the Commercial Data Analyst within the Hill's ANZ Customer Development team and owns the BI reporting ecosystem across Tableau and Domo.

You will maintain dashboards, data flows, and data pipelines to support commercial decision‑making. You will partner with CBS data engineers on more complex data engineering, modelling, and pipeline design, drive data accessibility, and help elevate ANZ reporting

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