Full-Time Analytics Principal

What you’ll do: This is your opportunity to grow at the intersection of Data, Digital, Product, Technology and human behavioral change to be a big part of something big.
Share expertise to define carsales' Retail team's analytical approaches underpinning product performance and development, data commercialisation, data-enabled partnerships and commercial outcomes.
Develop and support solutions that deliver end-to-end data products and direct the lifecycle of complex solutions.
Collaborate and connect with teams across Data, Retail, Product and Technology to deliver on decision-support and data commercialisation initiatives as a data SME.
Understand and agree to the medium-term (~3-12 month) plans in Retail and Product and break these down into quarterly OKRs that can be executed by smaller teams.
Share expertise to grow and deliver as a key leader within the Data function, bringing best-in-industry analytical expertise in partnering with our Retail function whose opportunities are amongst the fastest growing in the business.
Share expertise to perform advanced statistical modelling and analysis of structured and unstructured datasets to develop metrics, reports and visualizations of trends and patterns.
Lead teams of 1-3 data specialists that deliver cross-functional work with business and technology teams.
What are we looking for? Demonstrated inclusive and interpersonal attributes that connect you to our behaviours (we change the game, we own it, we step in, we are curious, we don’t take ourselves too seriously).
Demonstrate understanding and expertise to advance our analytical solutions (e.g. machine learning, product development, digital analytics, cross-site performance optimisation) that enables carsales' Retail division's continued market leadership against a backdrop of evolving market conditions.
Expertise in the application of quantitative methods and/or other developing econometric / statistical type solutions.
Collaborative communication with visualisation tools and techniques to generate dashboards and outputs that aid in data storytelling, understanding and interpretation of trends and patterns of business importance.
Collaborative skills to manage and solve complex trade-offs between business stakeholder needs and technical objectives, and a willingness to engage in conversations between groups.
Skilled in two or more programming languages of their area of specialisation ––– e.g. SQL, Python, Java, Scala and experience with cloud data platforms and analytic tools including – Snowflake, dbt, Thoughtspot, Tableau.

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