Digital Analytics Senior Analyst

2 weeks ago


Atlanta, Georgia, United States Genuine Parts Company Full time

About Genuine Parts Company

Genuine Parts Company is a leading distributor of automotive and industrial replacement parts and value-added services. With a global portfolio of businesses and over 10,000 locations across the world, we operate in a fast-paced and dynamic environment.

Job Summary

We are seeking a highly skilled Digital Analytics Senior Analyst to join our team. As a key member of our digital analytics team, you will be responsible for analyzing data to drive insights and inform business decisions. You will work closely with cross-functional partners to develop business cases and roadmaps for digital products, and ensure the successful development and adoption of these products.

Key Responsibilities

  • Analyze web analytics, site usage, performance, customer behavior, and related metrics to identify opportunities for improvement in business outcomes.
  • Work closely with Product Management teams to develop business cases and roadmaps for digital products.
  • Deliver reports and insights, conduct ongoing analysis, and support strategic and business reviews with various stakeholders.
  • Help establish measurement frameworks for new features or customer segments.
  • Develop reports that assess site or feature performance and help stakeholders make strategic decisions.
  • Help generate and test ideas and coordinate the implementation of A/B tests on the website.
  • Help teams understand trends and ensure relevant and consistent KPIs are reported across functions.
  • Manage analytics implementation projects by building timelines and communicating updates to partners.

Requirements

  • Bachelor's degree in marketing, statistics, economics, or a quantitative discipline.
  • 2-4 years of experience in online/e-commerce analytics.
  • Experience with web analytics tools like Adobe Analytics and/or Google Analytics.
  • Experience with A/B testing tools like Adobe Test/Target or Optimizely.
  • Fluency in SQL, Python, or scripting languages to drive analysis with large data sets.
  • Knowledge of statistics and experience using statistical methods to analyze data.
  • Strong communication skills and ability to work in a cross-functional environment.

What We Offer

  • A dynamic and fast-paced work environment.
  • Opportunities for professional growth and development.
  • A collaborative and supportive team.

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