Asset Risk and Data Analyst
St Leonards, New South Wales, Australia
FleetPartners
FleetPartners is one of Australia's leading providers of passenger, commercial and heavy commercial vehicle leasing and fleet management.· ASX 300 listed financial services organisation
· Flexible & hybrid working arrangements
· Sydney/ Melbourne location
Do you want to:
· work in an organisation where 98% of all team members believe that their manager genuinely cares about their well-being and feels valued?
· understand the strategic direction of your organisation and how your effort contributes to success?
· work in an inclusive environment who is proudly a WGEA Employer of Choice for Gender Equality?
· work for a climate Active CERTIFIED Carbon Neutral fleet management organisation?
· be recognised and rewarded for your performance?
· work for an organisation where ‘C-A-R-E’ are their values?
· have career opportunities, a voice that’s heard, and a fast-paced, dynamic yet flexible working environment?
If so, then FleetPartners might be the place for you.
FleetPartners Group is an ASX 300 listed financial services, vehicle management, and employee benefits company. We support all types and sizes of businesses to acquire and effectively manage their vehicles, with over 93,000 vehicles currently under management. We also help everyday Australians to maximise their salary by administering employee benefit programs and help them to get into the car of their dreams.
Who we’re looking for:
This role reports to the Risk Manager of passenger and light commercial vehicle assets and involves setting and managing the end of lease (residual) value of vehicles and maintenance budgets for FleetPartners Australia and New Zealand. The role is also responsible for reporting on lease portfolio metrics, maintaining the integrity and quality of vehicle attribute and sales data, managing internal data repositories, and supporting the broader risk department. (Note: this is not an IT or business analyst role).
What you’ll be doing:
Key deliverables:
- Day to day residual value and maintenance recommendations in support of Sales team for customer quotation or competitive tenders
- Review and recommend residual value positions for all vehicles to be quoted by the business
- Recommend maintenance budgets for all quotable vehicles within various asset classes
- Ad hoc portfolio analysis to support business decisions
- Proactively identify opportunities to improve day-to-day processes
- Run monthly valuations of current portfolio, analyse outputs and provide insights
This will be achieved through:
- Analysis of large volumes of motor vehicle sales data to identify price trends and movements to set residual values at end of lease
- Utilising Excel for analysis, modelling and calculation of forecast residual values in a complex matrix of multiple variables
- Being familiar with motor vehicle specifications and knowledge of vehicle market trends to support the data analysis and residual value setting process
- Support business to manage both residual value and maintenance risks across the designated portfolios and maintain residual value and maintenance tables in the relevant system
- Extensive data analysis and collaborative engagement with internal and external stakeholders and working within a small team environment
Requirements
- Tertiary qualified in a quantitative or commercial discipline e.g. Finance, Mathematics, Statistics, Economics or similar
- 1-3 years working experience in a commercial analytical role including valuation, forecasting, pricing and costing
- 1-3 years experience with SAS Enterprise Guide, SQL & Microsoft Office Suite
- An appreciation of motor vehicles
- Sound experience in the quantitative analysis of data and application of qualitative insight to derive forecast valuations
- Experience in leasing or automotive sector would be advantageous
- Analytical and conceptual in nature with a passion for using data to elicit key insights and trends
- Strong communication and interpersonal skills in dealing with multiple stakeholders
- Desire to present new ideas and challenge the status quo to drive continuous improvement
- Ability to work well under pressure, handle multiple concurrent tasks, meet deadlines and deliver results
- Attention to detail
- Highly organised and self-motivated, able to work autonomously or in groups without the need for managerial supervision
- Ability to provide evidence-based recommendations to internal and external stakeholders
Benefits
- 7 additional days of annual leave per year.
- 16 weeks paid parental leave for primary careers, regardless of gender and with no minimum tenure and 4 weeks paid leave for secondary carers.
- a ‘Dress for your Day’ policy.
- flexible and hybrid working arrangements.
- Rewards programme, including a range of discounts from a variety of retailers
- an extensive range of other employee benefits.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Economics Excel Finance Mathematics R SAS SQL Statistics
Perks/benefits: Competitive pay Flex hours Parental leave
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