About Cox Automotive Cox Automotive Australia is a subsidiary of Cox Automotive US, the world's largest automotive services and technology provider.
Our local team of almost 600 team members work with automotive manufacturers, as well as an array of automotive dealers and with the corporate and government fleet sector.
Our brands in Australia & New Zealand include Manheim Auctions (passenger, industrial and salvage), Kelley Blue Book, Sell My Car, and digital retailing solutions including LeadDriver and Xtime.
Our parent company has ~30,000 team members on five continents and a family of trusted brands that operate across the globe.
Cox Automotive is a subsidiary of Cox Enterprises Inc, a privately-owned, Atlanta-based company with $22 billion in annual revenue working in automotive, media and clean tech.
The role As CAA's Senior Data Analyst, you will be discovering insights and modelling complex problems through the use of statistical, algorithmic and visualisation techniques.
You will also be proficient at integrating and preparing large, varied datasets, architecting specialised database and computing environments, and communicating results.
Working closely with stakeholders, this role aims to turn data into critical information and knowledge that can be used to make strategic decisions.
To be successful in this role, you will need an innovative, proactive and data centric mindset where you can make an impact in the way how data is captured, processed and utilised, whilst also acting as a mentor for the broader team and a 'data coach' for the business.
Responsibilities: Works with key stakeholders to identify the business requirements and the expected outcome.
Gather and analyse data and test accuracy, integrity, consistency and helps identify issues with datasets.
Interpret complex data sets, visualise findings and where relevant, present reports that are easily understood by the business.
Develop experimental design approaches to validate finding or test hypotheses.
Educate the organisation both from IT and business perspective on new approaches, such as testing hypotheses and statistical validation of results.
Help key stakeholders and customers understand the principles behind the process to drive organisational buy-in.
Provide mentorship to the broader team and help foster a culture of continuous learning and development business-wide.
Skills & Experience: Significant experience in the data analysis or related field Advanced proficiency in SQL, Python, Snowflake, Tableau etc as well as MS Office suite Sound skills in applied statistics, such as distributions, statistical testing, regression, etc.
Ability to process complex data into easily understandable information Excellent communication and stakeholder management skills Prior automotive industry experience will be highly regarded Our benefits?
Our team members have spoken, and we are officially certified as a Great Place to Work We offer on the job training to ensure you are successful in the role and other training and development opportunities such as LinkedIn Learning, Pluralsight, Employee Resource Groups and many more Our Benefits offerings include Birthday Leave, Volunteering Leave, Service Awards, access to Reward and Recognition platform just to name a few Employee Assistance Program (EAP) – EAP is a professional service that is voluntary, confidential and free of charge to all team members and their immediate family members and dependents 24/7 Find more benefits at careers.coxautoinc.com.au/pages/benefits We offer a collaborative team environment where you can thrive, grow and make a meaningful impact.
If you are looking for a fun, challenging and rewarding opportunity to build your career, apply now and make your mark!
We are a Circle Back Initiative Employer – we commit to respond to every applicant.
Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.
All your information will be kept confidential according to EEO guidelines.
Any information you provide will be kept confidential and inline with federal and state privacy laws, and will not affect your application.