Job Description

Marketing Mix Modelling (MMM) Analyst – APJ Region

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At HP, we believe in the power of data to transform how we operate and grow. To unlock this potential, we’ve built a world-class Advanced Analytics team consisting of data scientists, data strategists, data engineers, and analytics translators. Together, we develop and deploy advanced models that drive better decision-making across the business.

HP ships four products every minute across retail, online, direct, and commercial channels—creating a uniquely rich and complex data environment. We are investing heavily in our in-house analytics capabilities, including state-of-the-art Marketing Mix Modelling (MMM), to better understand the drivers of growth and optimize investment decisions globally.

We are looking for a Marketing Mix Modelling (MMM) Analyst to support the APJ region across Print, Personal Systems, and Supplies (China, India, Japan, and Australia).

This role sits at the intersection of advanced analytics and business decision-making. You will be responsible for translating model outputs into clear, actionable recommendations and partnering with regional marketing and category teams to influence investment decisions.

You will operate across diverse and complex markets, requiring strong analytical capability, business acumen, and the ability to influence stakeholders in a matrixed organization.

This is a 12-month fixed-term contract, with the potential for extension or conversion to a permanent role based on performance and business needs.

Responsibilities

MMM Deployment & Interpretation

• 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.

Decision Influence

• 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.

Model Validation & Challenge

• Work closely with data scientists to validate model outputs, challenge assumptions where needed, and ensure results are robust, credible, and business-ready.
• Support the continuous improvement of modelling approaches and outputs.

Regional Complexity Management

• Adapt insights to diverse APJ market conditions, accounting for differences in media ecosystems, data quality, and business priorities across China, India, Japan, and Australia.

Insight Development & Storytelling

• Synthesize complex analytical outputs into clear narratives that drive action.
• Develop high-impact presentations and materials tailored to senior stakeholders.

Data & Signal Enhancement

• Identify opportunities to improve model inputs through new data sources, better data structuring, or enhanced business context.
• Partner with data science and data engineering teams to improve overall model quality.

Performance Evaluation

• Evaluate marketing and commercial investments using MMM outputs and complementary measurement approaches.
• Support post-campaign analysis and learning agendas.

Requirements

Marketing Mix Modelling Expertise

• Hands-on experience with MMM (building, interpreting, or deploying models).
• Strong understanding of core concepts such as incrementality, adstock, saturation curves, and ROI measurement.

Stakeholder Influence

• Proven ability to influence decision-making in a complex, matrixed organization.
• Comfortable engaging with senior stakeholders and translating analytics into clear business actions.

Business Acumen

• Strong understanding of the 4Ps (Product, Price, Place, Promotion) and how they drive business performance.
• Ability to connect model outputs to commercial decisions.

Analytical Thinking

• Strong problem-solving skills with the ability to work with complex datasets and derive actionable insights.

Communication & Storytelling

• Excellent verbal and written communication skills.
• Ability to simplify complex analytical concepts for non-technical audiences.

Technical Skills

• Strong proficiency in Excel (required).
• Experience with SQL and/or Python/R preferred.
• Experience working with large datasets and model outputs.

Collaboration & Delivery

• Ability to work effectively in cross-functional teams across regions.
• Strong project management and organizational skills in a dynamic environment.

Experience & Education

• 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.

About HP

You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you. So are we.

At HP, we take on tough challenges, disrupt the status quo, and create what’s next. We operate in more than 170 countries, driven by our vision to create technology that makes life better for everyone, everywhere.

You’ll join a team that values diversity, collaboration, and continuous learning—while working on problems that have real, global business impact.

Job -

Marketing

Schedule -

Full time

Shift -

No shift premium (India)

Travel -

No

Relocation -

No

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).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal"