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Data Transformation Specialist
3 weeks ago
Job Title: Data Transformation Specialist
Job Overview
At Jetstar, we're committed to taking our customers to new heights. As a Data Transformation Specialist, you'll play a crucial role in helping us achieve this goal by designing and delivering data models that power insights, reporting, and decision-making across challenging and exciting initiatives.
This is a hands-on role where you'll transform raw data into reliable, well-tested models that power reporting, insights, and activation use cases. You'll be part of a large, established analytics engineering community but dedicated to Commercial & Operations domains, with support from a business analyst and data modeller.
Key Responsibilities
- Design, build, test, and maintain data models and SQL transformations in dbt to enable analytics for Commercial & Operations teams.
- Extend enterprise data models by creating domain-specific dimensions, measures, and KPIs aligned with Commercial & Operations business needs.
- Collaborate with Data BAs, Customer SMEs, and centralized data modelling team to translate business rules into curated data assets.
- Ensure models are well-documented in Alation and adhere to best practices in coding, testing, and version control (GitHub).
- Work closely with centralized Data Engineering and Data Modelling teams to ensure alignment with enterprise frameworks, governance, and standards.
- Provide trusted data outputs to enable BI dashboards, analytics, and reporting for Commercial & Operations teams.
- Enable downstream use cases in BI, reporting, and activation.
- Partner with stakeholders across Commercial, Operations, Technology, Cyber, Data Privacy and Ethics to ensure dependencies and requirements are well understood.
Required Skills and Qualifications
- 2–5 years of experience in analytics engineering, BI development, or data modelling roles.
- Strong proficiency in SQL (queries, stored procedures, performance optimization).
- Experience with dbt for data transformation and data pipeline management.
- Hands-on experience with Snowflake (or other modern cloud data platforms).
- Familiarity with data modelling concepts (fact-dimension, star schema, medallion architecture).
- Understanding of business metrics and KPI creation for analytics and BI.
- Experience working with data catalogues (e.g., Alation) and GitHub for version control.
- Strong analytical, problem-solving, and communication skills – able to work with both technical and business stakeholders.
About Us
We welcome applications from anyone who wants to take off with us. If you have support or access requirements, just reach out and let us know what you need.
