Own the interpretation and application of Marketing Mix Models (MMM), translating model outputs into clear, actionable business recommendations.
Bridge the gap between data science and business teams to ensure insights are understood and used effectively.
Partner with marketing and category leaders across APJ to shape budget allocation, media strategy, and investment decisions.
Provide clear recommendations on ROI, incrementality, and optimal spend levels.
Work closely with data scientists to validate model outputs, challenge assumptions where needed, and ensure results are robust, credible, and business-ready.
Adapt insights to diverse APJ market conditions, accounting for differences in media ecosystems, data quality, and business priorities across China, India, Japan, and Australia.
Synthesize complex analytical outputs into clear narratives that drive action.
Develop high-impact presentations and materials tailored to senior stakeholders.
Identify opportunities to improve model inputs through new data sources, better data structuring, or enhanced business context.
Evaluate marketing and commercial investments using MMM outputs and complementary measurement approaches.

3–6 years of experience in marketing analytics, MMM, consulting, or a related field.
Bachelor’s or Master’s degree in Business Analytics, Data Science, Economics, Statistics, or a related discipline.
Hands-on experience with MMM (building, interpreting, or deploying models).
Strong understanding of core concepts such as incrementality, adstock, saturation curves, and ROI measurement.
Proven ability to influence decision-making in a complex, matrixed organization.
Comfortable engaging with senior stakeholders and translating analytics into clear business actions.
Strong understanding of the 4Ps (Product, Price, Place, Promotion) and how they drive business performance.
Ability to connect model outputs to commercial decisions.
Strong problem-solving skills with the ability to work with complex datasets and derive actionable insights.
Excellent verbal and written communication skills.
Strong proficiency in Excel (required).
Experience with SQL and/or Python/R preferred.
Experience working with large datasets and model outputs.
Ability to work effectively in cross-functional teams across regions.

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).

Marketing Mix Modelling Analyst

Key skills