Job Description

Senior Data Analyst - Data Products & Enterprise Platforms

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Location: Sydney, Melbourne or Canberra (Hybrid)

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Employment Type: Contract, Initial 12 month contract.

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Rate: $750-900 a day plus super DOE

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Security: Australian Citizenship required (ability to obtain Baseline Clearance)

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The Opportunity

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We're partnering with a large enterprise currently undertaking one of the most significant cloud data platform transformations in Australia. As part of a multi-year modernisation program, the organisation is migrating from a legacy Teradata/SAS environment to a modern Snowflake-based platform, building an enterprise data ecosystem that powers reporting, operational decision-making and future AI capability. This is not a traditional analytics role.

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Rather than producing dashboards or uncovering business insights, you'll play a critical role in designing, validating and delivering high-quality data products that enable others across the organisation to generate trusted insights.

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With the majority of work focused on new development, you'll help integrate new data sources, shape enterprise data assets and ensure products are production-ready.

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The Role

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Working within an agile, cross-functional squad alongside Data Engineers, Technical Business Analysts and Data Modellers, you will contribute throughout the entire lifecycle of a data product.

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Depending on the project, you may be responsible for:

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- Profiling and understanding complex source datasets
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- Data wrangling and assessing data quality
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- Prototyping new data attributes and product designs
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- Supporting engineers through the build of data pipelines and transformations
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- Validating completed data products against business requirements
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- Ensuring documentation, metadata and design artefacts are maintained
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- Collaborating closely with technical stakeholders to deliver robust enterprise data assets
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What You'll Bring

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We're looking for someone with exceptional data fluency who enjoys working with data itself - not someone looking to move into Data Science or Business Intelligence.

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You'll likely bring:

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- Strong SQL skills (this role is almost entirely SQL-based)
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- Experience working with large enterprise datasets
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- Exposure to modern cloud data platforms, primarily Snowflake
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- Experience performing data profiling, validation and quality assessment
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- Ability to translate business requirements into well-designed data products
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- Experience working alongside Data Engineers, Technical BAs and modelling teams
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- Strong documentation and analytical thinking skills
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- A collaborative mindset and genuine interest in delivering quality data products
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Exposure to Python would be advantageous but is not essential.

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Nice to Have

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- Python coding
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- Experience within enterprise data platforms or contemporary data warehouses
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- Exposure to AI-assisted development tools for documentation, code generation or data profiling
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- Understanding of data modelling concepts and ETL development
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What Makes This Role Different?

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This team sits at the heart of the organisation's enterprise data platform.

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Rather than building reports or analysing trends, you'll be responsible for creating the trusted data products that enable downstream analytics, reporting and operational systems.

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It's an opportunity to work on one of Australia's largest enterprise data transformations while collaborating with experienced engineers, architects and data specialists using modern cloud technologies.

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If you enjoy solving complex data problems, designing quality data assets and seeing your work become foundational products used across an organisation, this role offers an excellent opportunity to make a genuine impact.

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Key Information

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- Hybrid working model
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- Australian Citizenship required
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- Ability to obtain Baseline Security Clearance
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- Multiple positions available
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- Long-term program of work
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- Enterprise-scale Snowflake migration
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- Modern Data Platform environment
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- Collaborative squad model working alongside Engineers, Technical BAs and Modellers
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📌 Senior Data Analyst (New South Wales)
🏢 Talent Insights Group
📍 New South Wales