Job Description

Responsibilities:

Build and maintain a comprehensive database of car parts and their related data elements.
Develop and maintain Python-based web scrapers to source data and deploy mechanisms for gathering information from various online sources.
Identify and integrate new databases that provide additional data for car parts, including part number information.
Analyze competitors and source their pricing for comparative analysis.
Clean and organize data received from vendors and online sources to maintain an accurate database.
Create automated workflows to provide buy/sell analysis based on pricing.
Simplify current data conditioning practices and implement workflows (e.g., Macros, Power Automate) to improve efficiency.
Analyze buy/sell history to provide insights for business decisions.
Identify macro changes in part types/lines to refine and improve buy/sell analysis.
Develop data-driven and analytical strategies to enhance warehouse efficiency.

General Qualifications:

Proficiency in SQL, Python, C/C#, MS Access, Power BI, Power Query, and Power Automate.
Highly proficient in Excel.
Experience in database creation, maintenance, and expansion.
High energy with a strong analytical mindset.
Strong analytical and reporting background, with the ability to build and produce reports using query and flexible reporting tools to meet the requirements of cross-functional users and resource managers.
Proven financial and business acumen.
Strong problem identification and problem-solving skills.
Excellent communication skills and attention to detail, with the ability to communicate data insights to stakeholders.
Ability to translate large data sets into key business messages.

Education:

Location:

Job Type: Full-time

Pay: From $50,000.00 per year

Ability to Commute:

Work Location: In person

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