обновлено 2 дня назад
Residual Value Editor (Automotive)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Residual Value Editor (Automotive): Analyzing, creating, reviewing, and editing vehicle residual values and datasets for valuation and forecasting products with an accent on data integrity, vehicle pricing, and used-market developments. Focus on preparing depreciation curves for the CEE region, resolving data anomalies, and developing automated solutions to improve data quality and saturation.
Location: Prague, Czech Republic
Company
provides data and software services for connected vehicle-lifecycle experiences, serving automotive, insurance, and financial customers in more than 90 countries.
What you will do
- Analyze, create, review, and edit vehicle residual values for assigned markets.
- Maintain and enhance datasets supporting valuation, forecasting, and vehicle provenance products.
- Resolve customer queries, data issues, and broader anomalies affecting residual values, vehicle valuations, and market developments.
- Prepare and update forecast values and depreciation curves for vehicle prices in the CEE region.
- Deliver scheduled daily, weekly, and monthly data releases while maintaining SLA targets.
- Develop and manage automated solutions that improve data integrity and increase data saturation.
Requirements
- Strong data inputting and quality control skills.
- Fluent use of Microsoft Excel and other Microsoft Office programs.
- Strong interest in the automotive industry and detailed knowledge of vehicle model variants.
- Good knowledge of vehicle pricing, used-vehicle market developments, and automotive data availability channels.
- Native Czech or Slovak language skills and confident English communication.
- Positive attitude toward change, problem-solving, and continuous improvement.
Nice to have
- Macro-writing skills.
- Automotive experience or strong automotive interests.
Culture & Benefits
- Work with data products used by automotive, insurance, and financial customers.
- Collaborate with the DATA Team and Identification & Product functions.
- Contribute to continuous improvement and operational automation.
- Support products processing more than 300 million digital transactions annually.
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