Senior Vehicle Data Analyst
Melbourne, Australia
Company Description
Are you ready to be a big part of something big?
At carsales, we're all about making buying and selling a great experience. For 25 years we’ve been evolving with the new economy to help people choose how they move today and tomorrow.
When it comes to your career, we want to provide big opportunities to help you make a big impact. But for this to be possible, we strive to feel small. Small enough to quickly change tack, small enough to learn from different departments and small enough to connect authentically with leadership.
Not something you’d expect from one of the country’s biggest tech companies, is it?
And one of the best parts? We give you the autonomy to choose the working location that best suits your lifestyle – Office, Hybrid or Anywhere.
Proudly part of carsales, RedBook is the leading provider of vehicle identification and pricing data services in Australia. We have been researching the automotive market for over 70 years, and are a trusted business partner within the auto, finance, and insurance industries.
This is your opportunity to join the RedBook Pricing and Insights team as a Senior Vehicle Data Analyst. This team looks after everything to do with vehicle valuation services, from current used vehicle pricing to residual value forecasts. You will play an instrumental role in the ongoing evolution of our vehicle pricing practices, as well as support a variety of initiatives around existing and future RedBook data services.
What’s on offer:
- A place where you can move your career forward, where you’ll be continuously backed to make new ideas happen, and the chance to do work that makes real, significant impact in the world.
- We’re a certified Great Place to Work, Family Friendly Workplace and WGEA Employer of Choice.
- The support of a highly engaged, high-performing team including a leadership team that’s you’ll actually have face time with.
- 18 weeks paid parental leave for primary caregivers, four weeks paid secondary caregivers leave, six weeks paid gender affirming care leave.
Job Description
What you will do
- Generate and validate core vehicle pricing datasets, particularly current used guide prices and residual value forecasts, via our proprietary models.
- Track and report on vehicle price movements and key market indicators.
- Continuous development and improvement of our vehicle price methodology, modelling, and reporting.
- Apply your expertise in writing SQL queries and working with APIs to manipulate and extract data from our diverse and sometimes-complex sources.
- Apply effective analysis techniques and tools to our data to uncover meaningful patterns, trends, and insights, particularly around key subject areas of historical, current, and future vehicle pricing and their associated drivers.
- Effectively communicate complex data, ideas, and insights via appropriate reports, visualisations, and dashboards.
- Be a subject matter expert on RedBook’s vehicle pricing, identification, and specification data and services, as well as the new and used vehicle market, with a particular focus on vehicle valuation.
- Support our stakeholders and customers with actionable insights they can apply to real world business problems and drive commercial success.
Qualifications
What we are 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).
- Solid understanding of the automotive industry, vehicle technology, and new/used vehicle market dynamics.
- Experience in vehicle pricing and/or residual value forecasting would be highly desirable, from a setting such as vehicle residual risk management, fleet portfolio management, or similar.
- Proficiency in querying and ingesting data from relational databases (especially SQL Server and Postgres) and APIs.
- Proficiency in one or more programming languages suitable for data analysis such as R (preferable) or Python, and good knowledge of popular libraries for data ingestion, manipulation, analysis, and visualisation.
- Direct experience developing and refining regression models would be well regarded.
- Proficiency with proprietary reporting & data visualisation tools such as Tableau, PowerBI, or similar.
Additional Information
A few other things we want to let you know about...
- carsales is an equal opportunity employer and we pride ourselves on fostering a diverse and inclusive workplace. We encourage everyone of all ages, genders and backgrounds to apply. If you’re a candidate with a disability or you need some adjustments to be at your best, let us know how we can provide you with additional support.
- We know how important keeping that balance between work/life is and have a range of flexible working options on offer, including part time work. We are open to this conversation during our recruitment process - if you want to know more just ask.
- We are a proud Circle Back Initiative Employer which means we are committed to responding to every job applicant.
- 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.
So come and join our team - because every role is a big role in our plans to go big.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Data analysis Finance PostgreSQL Power BI Python R RDBMS SQL Tableau
Perks/benefits: Career development Flex hours Flex vacation Insurance Parental leave
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Data warehouse-related jobs
- Open LLMs-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs