Senior Data Analyst

SENIOR DATA ANALYST – TEAM LEAD – 7+ YEARS’ EXPERIENCE IN ANALYTICS & ENGINEERING - AZURE / DATABRICKS / PYSPARK / AI ENABLEMENT - $140,000 - $160,000 Per Annum + Super

• Team Leadership & Feature Engineering Experience Essential
• Salary Negotiable Based on Experience + Super + Salary Packaging
• Location: Australia (Remote or Major City Office)
• Must Have Australian Work Rights
• To apply, please email an up-to-date CV to [email protected], and we will review applications in order of receipt.

ABOUT US

We’re a high-growth, data-led company transforming how essential services are delivered in Australia. With an AI-first approach and a bold product vision, we’re building modern digital infrastructure that unlocks insights, drives smarter decisions, and enables intelligent automation at scale.

This is your chance to make a real-world impact with your data skills in a fast-moving, mission-driven environment. If you’re excited by the idea of applying advanced analytics to complex, meaningful challenges - we’d love to meet you.

WHAT WILL YOU BE DOING?

As a Senior Data Analyst – Team Lead, you’ll:

• Lead and mentor a team of analysts, fostering quality, ownership, and growth
• Deliver trusted insights across a medallion architecture (bronze, silver, gold)
• Build and optimise pipelines using SQL, PySpark, and Databricks
• Collaborate with AI/ML teams to prepare and validate model training features
• Integrate data workflows across Azure ML, AI Studio, and enterprise systems
• Translate business questions into hypotheses and validated insights
• Maintain notebooks, documentation, and metadata for reproducibility
• Troubleshoot pipeline issues and mitigate data quality and latency risks
• Create dashboards and outputs in Power BI or equivalent tools
• Apply advanced analytics including clustering, forecasting, and classification

WE NEED YOU TO HAVE…

• 7+ years in data analytics or engineering
• 4+ years hands-on with PySpark, SQL, and Databricks
• Strong experience with Azure-native tooling (Data Lake, ML, AI Studio)
• Proficient in data modelling, feature engineering, and time-series forecasting
• Skilled in notebook development, pipeline documentation, and governance tools
• Confident leading technical teams and managing delivery cycles
• Full working rights in Australia

IT’S NICE TO HAVE…

• Experience preparing data for machine learning models
• Exposure to clustering, regression, funnel analysis, or time-series modelling
• Background in healthcare, aged care, or regulated sectors
• Understanding of data privacy, AI ethics, and governance frameworks
• Familiarity with tools like DataHub, Purview, or other metadata platforms
• Interest in working across a growing digital and AI ecosystem

WHY JOIN US?

• Competitive salary + super + salary packaging options
• Work on real-world systems with AI, automation, and modern data tools
• Join a collaborative, purpose-led team solving meaningful problems
• Remote-first flexibility with optional office space in major cities
• Vibrant, supportive culture with a strong learning and growth mindset
• Access to wellness programs, professional development, and employee benefits

TO BE CONSIDERED…

Please apply by emailing your CV to [email protected].

By applying for this role, you give consent to have your application processed and submitted for this opportunity.