Senior E-Commerce Data Scientist / Data Analyst

You are deeply data-driven and motivated by turning insights into business impact.

5+ years of experience in data analysis, business analytics, or data science roles, preferably in B2C e-commerce or retail.

Strong business, finance, and economics foundation with the ability to connect data to commercial outcomes.

Proven experience with statistical analysis, regression models, and predictive modeling.

Hands-on experience designing and analyzing A/B tests or experiments.

Experience with BI and visualization tools (e.g., Power BI, Tableau).

· A high-impact role in a global, data-driven organization.

· Collaboration with diverse, international teams.

· Continuous learning opportunities through HP Learning Platforms and LinkedIn Learning.

· Access to inclusive employee networks (Women, Pride, Young Employees, Disability).

· Time and support for corporate volunteering and community impact.

Translate large, complex datasets into actionable business insights using analytics, data visualization and statistical modelling.

Apply descriptive, diagnostic, and predictive analytics, including regression and other statistical models, to explain business performance and forecast outcomes.

Design, analyze, and interpret A/B tests and experiments, ensuring statistical rigor and business relevance.

Identify and analyse e-commerce trends related to category and supply chain.

Partner with category teams, data engineering, data science teams, and external developers to deliver scalable analytical solutions.

Act as a trusted analytics advisor to business stakeholders, influencing strategy through data.