
10,000+ employees
🚘 Automotive
🤝 B2B
🛒 Retail
💰 IPO on 1978-01
Automotive • B2B • Retail
Genuine Parts Company is a leading global service provider of automotive and industrial replacement parts and value-added solutions. Established in 1928, GPC operates two main segments: an Automotive Parts Group (brands and operations including NAPA, UAP, Alliance Automotive Group, and GPC Asia Pacific) across North America, Europe and Australasia, and an Industrial Parts Group (including Motion and Motion Asia Pacific) across North America and Australasia. The company supports a vast network of over 10,800 locations in 17 countries and more than 65,000 employees, focusing on distribution of replacement parts, accessories and value-added services for repair shops, businesses and retail customers.
🕒 August 26
Where this job comes from
Posted on Genuine Parts Company's careers page, not through a job board
First seen by Remote Rocketship August 26
Still open on Genuine Parts Company's site. Checked 4 hours ago.

10,000+ employees
🚘 Automotive
🤝 B2B
🛒 Retail
💰 IPO on 1978-01
Automotive • B2B • Retail
Genuine Parts Company is a leading global service provider of automotive and industrial replacement parts and value-added solutions. Established in 1928, GPC operates two main segments: an Automotive Parts Group (brands and operations including NAPA, UAP, Alliance Automotive Group, and GPC Asia Pacific) across North America, Europe and Australasia, and an Industrial Parts Group (including Motion and Motion Asia Pacific) across North America and Australasia. The company supports a vast network of over 10,800 locations in 17 countries and more than 65,000 employees, focusing on distribution of replacement parts, accessories and value-added services for repair shops, businesses and retail customers.
• Works closely with business stakeholders to understand how data can be used to achieve their goals • Designs data modeling processes • Creates algorithms and predictive models • Analyzes data and shares insights • Analyzes large amounts of information to discover trends and patterns • Designs machine learning models for predictive analytics • Presents information using data visualization techniques • Undertakes preprocessing of structured and unstructured data • Identifies valuable data sources and automates collection processes • Helps the company analyze trends to make better data-based decisions • Performs other duties as assigned
• Typically requires a bachelor's degree in Mathematics, Computer Science, Physics, Economics, Engineering, Statistics, Opersations Research, Quantitative Social Science or a related area • At least seven (7) years of related experience or equivalent combination • Basic knowledge of software development principles and architecture • Excellent verbal and written communication skills • Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods • Excellent analytical and problem solving skills • Must be a team player
• Options for healthcare coverage • 401(k) • Tuition reimbursement • Vacation pay • Sick pay • Holiday pay
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