Job Description
HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts. You'll join successful teams contributing to our clients' success. You'll work side by side with our clients and have long-term opportunities to advance your career with the latest emerging technologies.
At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.
Job Description Role: Perform analysis and modeling of used vehicle residual values, auction prices, and market drivers to support Business and Sales Planning Analytics (BSPA) Used Vehicle Valuations team and customers Scope: U.S. & Canadian Used Vehicle Market & Values
Responsibilities - Develop and maintain models to quantify the relationship between auction prices and key used vehicle residual value drivers
- Provide used vehicle residual value forecasting to support key business processes
- Quantify and decompose used vehicle residual value gaps between brands and vehicles
- Provide data analysis visualization and prepare presentation materials to share with management and business customers
- Apply and integrate latest analytical tools and data sources to more accurately model used vehicle prices
- Execute both descriptive and inferential ad hoc requests for management and business customers in a timely manner
- Analyze and interpret model results to identify key trends and insights
Skills Required - 1+ years of experience conducting statistical analysis in a business or academic setting
- 1+ years of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Alteryx, etc.) AND Visualization skills/tools (e.g. Qlik Sense, Tableau, Power BI, etc.)
- Ability to effectively communicate, both verbal and written, across different levels of the organizations
- Experience with Excel and PowerPoint
Skills Preferred - Proficiency in Python for data analysis and model development
- Familiar with various modeling methodologies, including economics, econometrics, statistics, and data mining
- Have excellent time management skills and be able to handle working on multiple projects at the same time
- Be able to make reasonable judgments and conclusions with limited information and resources
- Be able to utilize all major modeling techniques as applied to short and long-term volume and price forecasts
- Be able to quickly convert a real business requirement into a solvable modeling problem, sort out relevant information, and judge the solution against business reality
- Be aspirational and curious in technical excellence and innovation
- Have a lifetime learning attitude
Experience Required: - 1+ years of experience conducting statistical analysis in a business or academic setting
- 1+ years of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Alteryx, etc.) AND Visualization skills/tools (e.g. Qlik Sense, Tableau, Power BI, etc.)
Experience Preferred: - 3+ years of Auto industry related work (used vehicle market experience a plus)
Education Required: - Master’s degree in Statistics, Econometrics, Data Science, or related field
Our success as a company is built on practicing inclusion and embracing diversity. HTC Global Services is committed to providing a work environment free from discrimination and harassment, where all employees are treated with respect and dignity. Together we work to create and maintain an environment where everyone feels valued, included, and respected. At HTC Global Services, our differences are embraced and celebrated. HTC is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce. HTC is proud to be recognized as a National Minority Supplier.
Job Tags
Holiday work, Temporary work,