Senior E-Commerce Analytics Lead: Insights & Automation

Ralph Lauren; New York (NY); On-site; USD 110,000 - 160,000; Full time

Job summary

Ralph Lauren Corporation in New York seeks a Digital Analytics Senior Analyst, E-Commerce Performance to automate digital insights and strengthen the e-commerce data mart across multiple sources.

You will lead analytics projects, collaborate with cross-functional teams, and mentor colleagues, leveraging Tableau, Power BI, SQL and Python to deliver actionable recommendations and strategic business impact.

Qualifications

• Strong experience in e-commerce, digital, customer, or web analytics.
• Advanced capability in SQL and data visualization with automated reporting.
• Ability to combine website behavior, transactional, customer and qualitative data sources.
• Excellent analytical, problem-solving, presentation, and data storytelling skills.
• Demonstrated ability to lead analytical projects and mentor other analysts.

Responsibilities

• Drive workflows that transform, visualize, and extract value from e-commerce data.
• Lead the design and development of automated reporting using Python, SQL, Snowflake, and Tableau to surface insights and enable self-service analytics.
• Enhance and maintain the e-commerce data mart by combining website analytics, product sales, customer, and experience data.
• Develop and deliver clear, high-quality presentations that translate analysis into actionable business recommendations.
• Mentor analysts and upskill the team in tools such as Tableau, Power BI, and/or Databricks.

Skills

E-commerce analytics

SQL

Data visualization

Data storytelling

Leadership / mentoring

Cross-functional collaboration

Tableau/Power BI

Databricks

Tools

Tableau

Power BI

Databricks

Job description

Ralph Lauren Corporation in New York seeks a Digital Analytics Senior Analyst, E-Commerce Performance to automate digital insights and strengthen the e-commerce data mart across multiple sources.

You will lead analytics projects, collaborate with cross-functional teams, and mentor colleagues, leveraging Tableau, Power BI, SQL and Python to deliver actionable recommendations and strategic business impact.