Ecommerce Intern supporting Olistic to enhance conversion and user experience in digital channels. Collaborating with teams on various ecommerce tasks and analyzing performance metrics over a minimum 6 - month internship.
About the role
- Performance Marketing Analytics Lead at HP focusing on data analytics, AI, and experimentation to enhance marketing investments. Leading digital marketing planning and optimization activities globally across channels.
Responsibilities
- Lead digital marketing planning, optimization, and experimentation activities across the optimization process and cadence.
- Drive material improvements in acquisition, retention, and customer lifetime value through data‐driven optimization and experimentation.
- Own and evolve media mix planning tools, attribution frameworks, and optimization models used for scenario planning and investment trade‐offs.
- Perform regular intra‐month and in‐period optimization analyses, partnering with channel managers to deploy actionable recommendations.
- Design, implement, and analyze adaptive test‐and‐learn programs (A/B, multivariate, quasi‐experimental designs) across demand generation channels.
- Evolve marketing attribution through experimentation, including multi‐touch, ML‐based, and incrementality‐driven approaches.
- Advise campaign optimization decisions through insights derived from attribution, experimentation, and causal analysis.
- Build reusable experimentation frameworks, methods, and standards to improve efficiency and consistency across analytics initiatives.
- Apply advanced statistical methods and machine learning to optimize marketing performance, including incrementality and causal inference, media response and saturation modeling, margin‐based and bid‐to‐profit optimization, predictive modeling for efficiency, conversion, and value, automated performance monitoring and anomaly detection.
- Lead adoption of AI‐assisted and GenAI‐enabled analytics, such as AI‐generated insights, summaries, and decision narratives, self-service and prompt‐based analytical exploration, automated interpretation of experimental results at scale.
Requirements
- Bachelor’s, Master’s, or PhD in Mathematics, Economics, Physics, Computer Science, Data Science, Marketing, or related field.
- 7–10+ years of experience in marketing analytics, data science, or digital optimization roles.
- 3+ years of hands‐on experience in experimentation design, causal analysis, or advanced statistical modeling at scale.
- Advanced understanding of marketing attribution, including multi‐touch, probabilistic, and ML‐based approaches.
- Proven success optimizing campaigns across paid and unpaid channels (SEO, SEM, CSE, Affiliate, Social, Email, Display, Partner).
- Expert knowledge of experimental design, causal inference, and statistical analysis.
- Strong grasp of eCommerce economics, digital marketing metrics, and performance drivers.
- Advanced experience with statistics, mathematics, and algorithmic modeling.
- Experience working with structured and unstructured datasets.
- Familiarity applying GenAI / LLMs to analytics enablement and insight acceleration.
- Proficiency in SQL, Python, R, SAS, or similar analytical languages.
- Familiarity with data modeling, ETL/ELT, and modern data transformation techniques.
- Working knowledge of BI, data visualization, and storytelling tools (e.g., Tableau, Power BI).
Benefits
- Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
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