Dealer Tire
Overview
Employer Industry: Automotive Distribution What to Expect (Job Responsibilities)
Analyze large datasets using SQL, Python, Excel, and Power BI to uncover pricing opportunities and trends Design and monitor pricing strategies to maximize revenue and profitability Build dashboards and visualizations to communicate pricing insights to stakeholders Collaborate cross-functionally to align pricing decisions with broader business strategies Cleanse and transform data to ensure quality and usability What is Required (Qualifications)
Bachelor’s degree in Data Science, Mathematics, Computer Science, Engineering, Business Statistics, or a related field 2–4 years of experience in analytics, pricing, financial analysis, or a related business field Proficiency in SQL, Python, R, and data visualization tools like Power BI or Tableau Strong communication skills to present data-driven insights to technical and non-technical audiences A curious mindset and a passion for solving complex problems How to Stand Out (Preferred Qualifications)
Familiarity with scripting for automation using Groovy Understanding of data transformation techniques and experience working with APIs Experience with structured and unstructured datasets We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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Employer Industry: Automotive Distribution What to Expect (Job Responsibilities)
Analyze large datasets using SQL, Python, Excel, and Power BI to uncover pricing opportunities and trends Design and monitor pricing strategies to maximize revenue and profitability Build dashboards and visualizations to communicate pricing insights to stakeholders Collaborate cross-functionally to align pricing decisions with broader business strategies Cleanse and transform data to ensure quality and usability What is Required (Qualifications)
Bachelor’s degree in Data Science, Mathematics, Computer Science, Engineering, Business Statistics, or a related field 2–4 years of experience in analytics, pricing, financial analysis, or a related business field Proficiency in SQL, Python, R, and data visualization tools like Power BI or Tableau Strong communication skills to present data-driven insights to technical and non-technical audiences A curious mindset and a passion for solving complex problems How to Stand Out (Preferred Qualifications)
Familiarity with scripting for automation using Groovy Understanding of data transformation techniques and experience working with APIs Experience with structured and unstructured datasets We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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