Role OverviewWe are hiring a hands-on Marketing Analytics Analyst with 34 years of experience to work on a greenfield Market Mix Modeling (MMM) and marketing effectiveness initiative. This is a build role, not a tool-operation or reporting role. The analyst will design, develop, and implement MMM and marketing analytics solutions from raw data using Python and SQL, without reliance on proprietary or pre-built MMM platforms.

The role is best suited for professionals with exposure to FMCG / Consumer / Marketing Analytics who are comfortable working in unstructured problem environments and can take ownership of data, modeling, and insights end-to-end.

Key Responsibilities

Market Mix & Marketing Analytics (Core)1. Build and support Market Mix Models (MMM) from raw sales, media, promotion, and calendar data

- Apply regression and time-series techniques, including lag/decay (adstock) and saturation effects
- Evaluate model stability, interpret results, and derive actionable marketing insights
- Support marketing ROI measurement, spend optimization, and planning decisions

Data Engineering & Analytics (Hands-On)1. Write complex SQL queries to extract, join, validate, and transform data from multiple source tables

- Use Python for data cleaning, feature engineering, statistical analysis, and automation




- Build analytical base datasets for modeling from raw sales, media, and promotion data
- Independently handle data quality issues, missing values, and outliers

5.Automate recurring analytical workflows and ensure reproducibility

Business & Stakeholder Engagement1. Partner with Marketing, Commercial, and Analytics stakeholders to define KPIs and measurement frameworks

- Convert analytical outputs into explicit business narratives, recommendations, and presentations
- Support decision-making related to marketing ROI, spend optimization, and planning

Required Qualifications1. Bachelors degree in Statistics, Economics, Mathematics, Engineering, Data Science, or a related quantitative discipline

- 3-4 years of hands-on experience in Marketing Analytics, Commercial Analytics, or Business Analytics
- Strong hands-on proficiency in Python for data preparation, statistical analysis, and modeling
- Strong hands-on proficiency in SQL, including complex joins, aggregations, and analytical queries
- Experience working with raw, multi-source datasets and building analytical solutions from scratch
- Solid understanding of regression and time-series concepts used in marketing or commercial analytics
- Ability to translate analytical outputs into clear, actionable business insights

📌 Marketing Analytics Analyst – Market Mix Modeling (Bengaluru)
🏢 Viaprom Technologies
📍 Bengaluru