FleetPartners is hiring a

Asset Risk and Data Analyst

Job Overview

  • Posted 3 weeks ago
  • Full Time
  • St Leonards NSW, Australia
  • 76000

Roles & Responsibilities

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 β€˜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.

Skills Required

  • Machine Learning
  • Python

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