The Role
Measures marketing and media effectiveness using market mix modeling, attribution, forecasting, statistical analysis, and budget optimization. The role prepares and validates large datasets, automates reporting, develops dashboards and simulations, and translates analytical findings into actionable recommendations. It also involves collaborating with clients and internal media, strategy, and data teams, presenting insights, and supporting marketing investment decisions.
Summary Generated by Built In
We are looking for a highly analytical and data-driven professional to join our Media Effectiveness team. The role will focus on measuring marketing performance, generating actionable business insights, and supporting clients in optimizing marketing investments through advanced analytics techniques such as Market Mix Modelling (MMM), attribution, forecasting, and budget optimization.
The ideal candidate should possess strong analytical capabilities, experience working with large datasets, and an interest in solving complex business problems using statistical and machine learning techniques.
The ideal candidate should possess strong analytical capabilities, experience working with large datasets, and an interest in solving complex business problems using statistical and machine learning techniques.
Job Description:
Key ResponsibilitiesMarketing Effectiveness & Measurement- Develop and maintain Market Mix Models (MMM) to quantify the impact of marketing activities on business outcomes.
- Analyze media performance across online and offline channels and identify optimization opportunities.
- Support budget allocation and scenario planning exercises using response curves and optimization frameworks.
- Measure incremental impact of marketing investments and provide actionable recommendations.
- Perform exploratory data analysis and statistical modeling to uncover key business drivers.
- Translate analytical findings into clear business recommendations for internal and external stakeholders.
- Build forecasting and simulation models to support strategic planning.
- Develop dashboards, reports, and presentations for client reviews and leadership discussions.
- Collaborate with client teams to understand business objectives and measurement requirements.
- Present analytical outputs and recommendations to stakeholders in a concise and impactful manner.
- Work closely with media, strategy, and data teams to ensure accurate interpretation of insights.
- Validate and prepare datasets from multiple sources.
- Automate recurring analytical processes and reporting workflows where applicable.
- Ensure data quality, consistency, and documentation of methodologies.
- Bachelor's or Master's degree in Statistics, Economics, Mathematics, Engineering, Data Science, Business Analytics, or a related field.
- 2–5 years of experience in Marketing Analytics, Media Measurement, Business Analytics, Data Science, or a related domain.
- Strong understanding of statistical techniques, regression modeling, and data analysis.
- Proficiency in Python, SQL, and Excel.
- Experience with data visualization and reporting tools such as Power BI, Tableau, or Looker Studio.
- Strong communication and presentation skills.
- Experience in Market Mix Modelling (MMM), Marketing Measurement, or Media Analytics.
- Familiarity with Bayesian modeling frameworks such as Meridian or Robyn.
- Understanding of marketing channels, media planning, and consumer behavior.
- Exposure to machine learning and forecasting techniques.
- Problem-solving and critical thinking
- Business storytelling and insight generation
- Stakeholder management
- Attention to detail
- Ability to work in a fast-paced consulting environment
- Delivering high-quality analytical solutions that influence marketing investment decisions.
- Driving measurable improvements in marketing ROI and business outcomes.
- Building trusted relationships with clients through insightful, data-backed recommendations.
Location:
India - Haryana - Gurugram - WOCO 1 - Level 4Brand:
Dentsu XTime Type:
Full timeContract Type:
PermanentSkills Required
- Bachelor's or Master's degree in Statistics, Economics, Mathematics, Engineering, Data Science, Business Analytics, or a related field
- 2-5 years of experience in Marketing Analytics, Media Measurement, Business Analytics, Data Science, or a related domain
- Strong understanding of statistical techniques, regression modeling, and data analysis
- Proficiency in Python, SQL, and Excel
- Experience with data visualization and reporting tools such as Power BI, Tableau, or Looker Studio
- Strong communication and presentation skills
- Experience in Market Mix Modelling, Marketing Measurement, or Media Analytics
- Familiarity with Bayesian modeling frameworks such as Meridian or Robyn
- Understanding of marketing channels, media planning, and consumer behavior
- Exposure to machine learning and forecasting techniques
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
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Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
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Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
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Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
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The Company
What We Do
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next
