Data Analyst - Commercial Insights

Data is a key decision making tool at carsales, and better understanding our customers' behaviours is an important piece of the puzzle.

Got drive? You’ll fit right in.

In 1997 we tried something new - we've been doing it ever since. From humble start-up beginnings, today we're an ASX top 100 with world-class technology and advertising solutions. Not only are we the largest online automotive, motorcycle and marine classifieds business in Australia, we're growing across Latin America and Asia.

The role

Our Product & Insights team are looking for an innovative Data Analyst to help them drive outcomes for our Commercial business. Data is a key decision making tool at carsales, and better understanding our customers’ behaviours is an important piece of the puzzle. You’ll work with a highly motivated and exceptionally talented team of data analysts to build reporting and predictive solutions, and deliver data-rich products, insights and analytics to both external clients and internal stakeholders across our sales, marketing, technology and product management teams.

What you’ll do

  • Build processes that transform large volumes of data into a consumable format for visualisation and activation.
  • Autonomously manage end-to-end analytical projects and develop in-depth, customer-based insights that help drive value for carsales' customers.
  • Own and improve reporting and analytical processes, ensuring timely execution and continuous improvement
  • Apply your expertise in quantitative analysis, data visualisation and data-mining to tell the story behind the numbers.
  • Work with data engineers to contribute to the development of shared analytical infrastructure

What we’re looking for 
  • A lover of all things data who is a whiz at framing and solving complex analytical questions.  
  • Strong SQL skills, with working knowledge of Python (preferred) or R. Experience with large-scale column-oriented databases is advantageous.
  • Experience visualizing data through enterprise tools (Tableau preferred) or via open source libraries.
  • A bachelors degree (or higher) in a quantitative field (Computer Science, Mathematics, Statistics, Finance, Economics, Engineering), preferably with knowledge of hypothesis testing and statistical/machine learning.
  • Someone who will work collaboratively with various teams to collect, collate and interpret our data, and then communicate the insights effectively to both technical and non-technical stakeholders.
  • Exposure to software development or data engineering/warehousing practices would be a huge bonus.

Why apply?

carsales offers extensive opportunities to learn and evolve in a diverse, fast-paced and dynamic environment. We are committed to our people through many ongoing initiatives associated with culture and benefits, career development, health and well-being, community, work-life balance, reward and recognition. We continually strive to attract and retain the most talented people through a number of programs designed to support learning and development. When you work at carsales you don't just have a job, but you have a rewarding career.

carsales is an equal opportunity employer who prides themselves on providing a diverse workplace that brings out the best in its people. We encourage everyone of all ages and background to apply. 


And just a quick one… 
Successful candidates joining the carsales family are required to undergo a National Police Record check and must have full-time Australian working rights on an ongoing basis.