Purchasing Data Analyst
Date: Aug 4, 2025
Location: Bucharest, RO
Company: DRiV
The Purchasing Data Analyst will report directly to the Analytics Manager and will support the Manager, Purchasing Directors, and the Purchasing Vice President with reports, analysis, standardization of processes/tools, and project management. Due to the nature of this role, there will be both structured work/expectations and ad hoc requests. The ability to manage through ambiguity and uncertainty — to be flexible to the needs of the global group — is key to the success of the Analyst and the broader team. Ability to work in a fast-paced and dynamic work environment, often with minimal direction is critical.
What you will do:
- Analyze and interpret trends in complex datasets to identify trends, growth opportunities, and areas for improvement.
- Develop and maintain department and individual KPI dashboards to deliver actionable insights to relevant decision-makers.
- Ensure data integrity by validating and maintaining best practices for handling, processing, and cleaning data.
- Work closely with the global purchasing team members to understand individual analytics needs, to provide status updates, and to deliver the proper analytical support.
- Prepare presentations to management (Ex: project updates) and, as appropriate, present to the Purchasing Leadership Team.
- Attend meetings as required to support or represent the Manager. Assist with ad hoc requests such as financial impact analyses.
- Stay up to date with market trends and data analysis best practices to drive cost-effective decisions for DRiV Purchasing.
What will make you successful:
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2-3 years of related experience in supply chain, product management, finance, purchasing or a similar role that depends heavily on Data Analysis. (experience in the automotive industry preferred)
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General understanding of data structures, mapping and experience working with multiple data sources.
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Bachelor’s Degree in Business (Finance, Supply Chain, Operations, Accounting, etc.), MBA preferred.
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Solid computer skills with thorough knowledge of MS Office and experience using tools such as Power BI, Tableau & SQL.
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Strong analytical, problem solving and critical thinking skills.
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Fluency in English and very good communication and collaboration skills.
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Demonstrated ability to consistently meet or beat assigned targets and deadlines.