Senior Data & Tech Analyst - Commercial Ops (Hybrid)

Woolworths New Zealand

Auckland

Hybrid

NZD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Team discounts across Woolworths Group
Parental leave (12 weeks) for primary/
Wellbeing programs

Job summary

Woolworths Group in New Zealand is seeking a Senior Technical Data Analyst to drive the operation and evolution of the Commercial Buying platform. You will work with NZ leadership and analytics teams across Australia and India, empowering a squad of analysts and delivering high-impact analytical solutions.

You will leverage SQL, Python and Excel to build pipelines, ensure data integrity, and support business strategy through data-driven insights in a hybrid work setting (3 days in the office,

Qualifications

  • Expert in SQL and data manipulation
  • Experience building data models and pipelines
  • Ability to mentor junior analysts and work with cross-functional teams

Responsibilities

  • Operate and evolve the Commercial Buying platform tooling
  • Drive roadmaps for platform evolution and improvements
  • Ensure data quality, governance, and pipeline reliability
  • Diagnose and resolve complex data issues and stakeholder requests
  • Collaborate with analytics teams across NZ, Australia and India
  • Engage stakeholders to track outcomes and drive adoption of standard platforms
  • Mentor junior analysts and support squad deliverables

Skills

SQL
Python
Excel
Data analysis

Education

Statistics, Data Science, Mathematics, Computer Science (related field)

Tools

DBT
Airflow
BigQuery
GCP

Job description

Woolworths Group in New Zealand is seeking a Senior Technical Data Analyst to drive the operation and evolution of the Commercial Buying platform. You will work with NZ leadership and analytics teams across Australia and India, empowering a squad of analysts and delivering high-impact analytical solutions.

You will leverage SQL, Python and Excel to build pipelines, ensure data integrity, and support business strategy through data-driven insights in a hybrid work setting (3 days in the office,

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