eCommerce Marketing Analyst
HP is seeking an experienced Performance Marketing Analytics Leadwho is passionate about optimizing business outcomes at the intersection of data analytics , AI, and experimentation. This role sits within HP’s eCommerce & Digital Marketing Analytics organizationand plays a critical part in shaping how marketing investments are planned, tested, optimized, and scaled globally.
Using advanced analytics, media mix modeling (MMM), experimentation, machine learning, and AI‑enabled decisioning, this role drives quarterly, monthly, weekly, and in‑period marketing investment decisions across digital channels (including SEM, CSE, Affiliate, Display, Social, Email, and Partner channels). The role partners closely with marketing, data science, product, and engineering leadership to build scalable experimentation and optimization capabilities that improve acquisition, retention, lifetime value, margin, and overall marketing ROI.
This position applies deep subject matter expertise to complex problems, frequently contributes new ideas and methodologies, and may directly or indirectly lead analysts and data scientists while providing functional leadership within the marketing analytics domain.
Performance Marketing & Optimization Leadership
Lead digital marketing planning, optimization, and experimentation activities across the optimization process and cadence.
Drive material improvements in acquisition, retention, and customer lifetime valuethrough data‑driven optimization and experimentation.
Own and evolve media mix planning tools, attribution frameworks, and optimization modelsused 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.
Apply advanced statistical methods and machine learningto optimize marketing performance, including:
Automated performance monitoring and anomaly detection
Build and evolve tools that enable evaluation and interpretation of experimental and marketing data at scale, including 1st‑party, platform, and agency data.
Partner with product managers and data scientists to define the technical roadmap and visionfor experimentation, measurement, and optimization.
Advise leadership on key technical considerations tied to the marketing technology stack, data platforms, and AI readiness.
Debug and resolve analytics and production issues across multiple marketing channels.
Partner with marketing leaders to develop a comprehensive understanding of investment opportunities and trade‑offs, translating insights into clear requirements and recommendations.
Recommend go‑to‑market actionsand optimization strategies to senior leaders based on analytical findings.
Represent marketing analytics expertise to internal stakeholders and, as needed, external partners and vendors.
Participate in defining and refining marketing and sales policiesfor specific product lines or regions in compliance with local regulations.
Lead or provide expertise to cross‑functional project teams.
Provide mentorship, guidance, and training to junior analysts and data scientists.
Marketing & Analytics Expertise
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.
AI & Data Science
Advanced experience with statistics, mathematics, and algorithmic modeling.
Machine learning for prediction, optimization, and decision support.
SQL, Python, R, SAS, or similar analytical languages.
Data modeling, ETL/ELT, and modern data transformation techniques.
BI, data visualization, and storytelling tools (e.g., Tableau, Power BI).
Working knowledge of MarTech stacks, MRM, CRM, and CKM platforms.
Ability to clearly communicate data product architectures and algorithm designto senior audiences.
Agile and project‑based delivery experience.
Bachelor’s, Master’s, or PhD in Mathematics, Economics, Physics, Computer Science, Data Science, Marketing, or related field.
~7–10+ yearsof experience in marketing analytics, data science, or digital optimization roles.
~3+ yearsof hands‑on experience in experimentation design, causal analysis, or advanced statistical modeling at scale.
~ Experience in digital media, MarTech, subscription, or technology‑driven businesses strongly preferred.

Leads complex, high‑impact initiatives influencing integral marketing investment decisions.
Regular interaction with senior ICs, managers, directors, and executive leadership.
Shapes how AI, experimentation, and analytics are operationalizedacross HP’s digital direct marketing ecosystem.
Data & Information Technology Schedule -
Full time Shift -
No shift premium (Spain) Travel -
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).

📌 E-Commerce Marketing Analyst (Ourense)
🏢 HP
📍 Ourense