Carparts Inc
Manager, Data Analytics
Carparts Inc - Torrance, California, United States, 90504
Work at Carparts Inc
Overview
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Overview
Manager, Data Analytics: CarParts.com, Inc. seeks Manager, Data Analytics. Job site is located at 2050 W. 190th Street, Suite 400, Torrance, CA 90504. The position requires a Bachelor's Degree or foreign equivalent in Engineering, Mathematics, Computer Science, Business Analytics or another closely related field 4 months experience in job offered or as Data Analyst, Business Analyst, or another closely related field.
Job Duties:
Mentor an analytics team to develop and maintain executive reports and dashboards that enable data-driven decision making; Collaborate with executive stakeholders to understand their specific reporting needs and preferences; Guide the team to perform quality check to assure accuracy of the provided data; Monitor the performance of defined KPIs and progress towards business goals; Build strategic plans with infusion of data science and analytics to drive company's key business metrics such as gross margin and revenue; Work with cross-functional teams to build dashboards that visualize performance at product or SKU level; Build daily/weekly anomaly report with Python to track unusual business behavior such as negative margin; Implement actions to address potential issues related to pricing and financial performance; Design and conduct pricing-related experiments to provide recommendations for areas to improve for leadership team; Conduct Pre vs. Post analysis to compare treatment vs. Control groups performance in KPI; Adjust pricing during and after the test to meet business goals; Host biweekly pricing meeting to collaborate with managers from merchandising, marketing, and product to understand and identify business opportunities/issues; Sum1narize recent pricing update and discuss promotion strategy with category managers; Review potential decline at category level and provide recommendations to address; Review performance from pricing experiments and finalize strategy to implement; Create process to automate existing pricing logics and reporting that enhances team's efficiency; create ten different logics to adjust
pricing with Python to match competitor price and discount overstocked items; Evaluate the impact from the price adjustment and tune parameter such as discount level; Partner with product and engineering team to monitor and validate A/B testing results; Collect customer data from control and treatment from Big query; and Perform t-test or z-test to evaluate if the lift for feature is statistical significant
IF INTERESTED, PLEASE APPLY DIRECTLY ON ADP WEBSITE.
#LI-DNI
Job Duties:
Mentor an analytics team to develop and maintain executive reports and dashboards that enable data-driven decision making; Collaborate with executive stakeholders to understand their specific reporting needs and preferences; Guide the team to perform quality check to assure accuracy of the provided data; Monitor the performance of defined KPIs and progress towards business goals; Build strategic plans with infusion of data science and analytics to drive company's key business metrics such as gross margin and revenue; Work with cross-functional teams to build dashboards that visualize performance at product or SKU level; Build daily/weekly anomaly report with Python to track unusual business behavior such as negative margin; Implement actions to address potential issues related to pricing and financial performance; Design and conduct pricing-related experiments to provide recommendations for areas to improve for leadership team; Conduct Pre vs. Post analysis to compare treatment vs. Control groups performance in KPI; Adjust pricing during and after the test to meet business goals; Host biweekly pricing meeting to collaborate with managers from merchandising, marketing, and product to understand and identify business opportunities/issues; Sum1narize recent pricing update and discuss promotion strategy with category managers; Review potential decline at category level and provide recommendations to address; Review performance from pricing experiments and finalize strategy to implement; Create process to automate existing pricing logics and reporting that enhances team's efficiency; create ten different logics to adjust
pricing with Python to match competitor price and discount overstocked items; Evaluate the impact from the price adjustment and tune parameter such as discount level; Partner with product and engineering team to monitor and validate A/B testing results; Collect customer data from control and treatment from Big query; and Perform t-test or z-test to evaluate if the lift for feature is statistical significant
IF INTERESTED, PLEASE APPLY DIRECTLY ON ADP WEBSITE.
#LI-DNI