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Data Analyst jobs in Macquarie Park NSW 2109

• The average pay for Data Analyst jobs in Macquarie Park NSW 2109 is $239K per year.
• Entry-level positions start at $60K per year, while the most experienced workers can earn up to $1,482K per year.
8 companies are currently advertising Data Analyst jobs in Macquarie Park NSW 2109 including CSR, Chubb Insurance Australia Limited, Programmed, Blackwoods and Hays.
• Top skills include Power BI, SQL, Problem Solving, Microsoft Excel and Marketing Analysis.
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Posted 3d ago
Full time · Contract
Similar jobs pay ~$130k - $150k

$130K–$150K + super (depending on experience)

Key points we found

  • Join a friendly enterprise data & analytics team as a Data & Reporting Analyst.
  • Own and deliver monthly reporting cycles and manage ad-hoc analysis requests.
  • Gain exposure to Microsoft Fabric and contribute to improving reporting processes.
Posted 11d ago
Full time · Permanent
Similar jobs pay ~$80k - $100k

Pay information not disclosed by advertiser

Key points we found

  • Govern Contact and Customer master data to ensure data integrity and consistency.
  • Collaborate with cross-functional teams to drive sustainable data practices.
  • Implement data governance and compliance principles to support transparency.
Expiring in 3d
Full time · Contract
Similar jobs pay ~$350k+

Pay information not disclosed by advertiser

Key points we found

  • Join the Enterprise Data Analytics & AI Team as a Technical Business Analyst.
  • Capture business requirements and translate them into viable solutions.
  • Engage with stakeholders to ensure optimal contribution and support.
Posted 39d ago
Full time · Permanent
Similar jobs pay ~$90k - $120k

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Key points we found

  • Drive data structure, modelling, and quality foundations for enterprise reporting.
  • Transform raw, inconsistent information into organised models for reporting and analytics.
  • Ensure high-quality datasets and document logic behind KPIs and transformations.
Posted today
Full time · Permanent
Similar jobs pay ~$60k - $80k

Pay information not disclosed by advertiser

Key points we found

  • Support pricing initiatives through analytics and data.
  • Administer vendor rebate agreements and track performance.
  • Develop automation tools to improve efficiency.
Posted 2d ago
Full time · Permanent
Similar jobs pay ~$80k - $100k

Pay information not disclosed by advertiser

Key points we found

  • Streamline, analyse, and interpret data to provide actionable insights.
  • Design and maintain dashboards and reports for clear insights.
  • Support forecasting, business planning, and performance measurement.
Posted 13d ago
Full time · Permanent
Similar jobs pay ~$90k - $120k

Pay information not disclosed by advertiser

Key points we found

  • Shape pricing strategy and drive margin growth across CSR's portfolio.
  • Analyse pricing, margin, customer, and market data to identify risks and growth opportunities.
  • Partner with Sales, Category, and Finance to provide pricing advice and commercial insights.
Posted 6d ago
Full time · Temporary
Similar jobs pay ~$120k - $150k

Pay information not disclosed by advertiser

Key points we found

  • Lead advanced analytics initiatives to support insurance portfolio management.
  • Develop predictive models and analytical solutions using machine learning techniques.
  • Collaborate with business teams to understand needs and shape the analytics roadmap.
Expiring in 3d
Full time · Permanent
Similar jobs pay ~$80k - $100k

Pay information not disclosed by advertiser

Key points we found

  • Support the delivery and performance of platforms through insights and analysis.
  • Collaborate with Category Managers to drive product, price, and channel outcomes.
  • Monitor market trends and competitor activity to inform pricing decisions.
Posted 6d ago
Full time · Temporary
Similar jobs pay ~$120k - $150k

Pay information not disclosed by advertiser

Key points we found

  • Support the delivery of AI and machine learning solutions that improve underwriting and operations.
  • Analyse business requirements and help inform solution design, including the evaluation and integration of external data sources.
  • Work with MLOps and data engineering teams to support production deployment and ongoing model quality.