PythonRole Overview
We are looking for a Senior Marketing Analytics professional with strong experience in Marketing Mix Modeling (MMM), Attribution Modeling, and ROI analysis. The role involves working closely with marketing and business leadership to deliver actionable insights that optimize marketing spend and drive business growth.
Key Responsibilities
- Analyze large-scale marketing and customer datasets to deliver actionable business insights.
- Build and maintain Marketing Mix Models (MMM) to measure media effectiveness and optimize marketing investments.
- Design and implement attribution models (multi-touch, incrementality, lift analysis) to evaluate campaign performance.
- Perform ROI, CAC, ROAS, and funnel analysis across marketing channels.
- Write complex SQL queries to extract, combine, and analyze data from multiple sources.
- Use Python for statistical analysis, regression modeling, forecasting, and experimentation.
- Develop and publish Tableau dashboards and automated reports for leadership and stakeholders.
- Work with marketing platforms such as Google Analytics (GA4), Adobe Analytics, Salesforce Marketing Cloud, Marketo, or similar tools.
- Collaborate with cross-functional teams to define KPIs, reporting requirements, and analytics roadmaps.
- Present insights and recommendations clearly to senior leadership and non-technical stakeholders.
- Ensure data accuracy, consistency, and documentation of analytics methodologies.
Required Skills & Qualifications
- 8+ years of experience in analytics, with a strong focus on marketing or digital analytics.
- Hands-on expertise in Marketing Mix Modeling (MMM) and Attribution Modeling.
- Strong proficiency in SQL and Python for data analysis.
- Experience with Tableau for dashboarding and automated reporting.
- Working knowledge of Google Analytics / GA4, Adobe Analytics, and marketing automation or CRM tools.
- Strong understanding of data modeling, reporting, and ROI measurement.
- Excellent stakeholder management, communication, and data storytelling skills.
- Ability to work independently in a fast-paced and ambiguous environment.
Good to Have
- Experience with Power BI / Looker / BigQuery
- Exposure to A/B testing, experimentation, or econometric modeling
- Experience working with large marketing datasets and cloud platforms
Role Overview
We are looking for a Senior Marketing Analytics professional with strong experience in Marketing Mix Modeling (MMM), Attribution Modeling, and ROI analysis. The role involves working closely with marketing and business leadership to deliver actionable insights that optimize marketing spend and drive business growth.
Key Responsibilities
- Analyze large-scale marketing and customer datasets to deliver actionable business insights.
- Build and maintain Marketing Mix Models (MMM) to measure media effectiveness and optimize marketing investments.
- Design and implement attribution models (multi-touch, incrementality, lift analysis) to evaluate campaign performance.
- Perform ROI, CAC, ROAS, and funnel analysis across marketing channels.
- Write complex SQL queries to extract, combine, and analyze data from multiple sources.
- Use Python for statistical analysis, regression modeling, forecasting, and experimentation.
- Develop and publish Tableau dashboards and automated reports for leadership and stakeholders.
- Work with marketing platforms such as Google Analytics (GA4), Adobe Analytics, Salesforce Marketing Cloud, Marketo, or similar tools.
- Collaborate with cross-functional teams to define KPIs, reporting requirements, and analytics roadmaps.
- Present insights and recommendations clearly to senior leadership and non-technical stakeholders.
- Ensure data accuracy, consistency, and documentation of analytics methodologies.
Required Skills & Qualifications
- 8+ years of experience in analytics, with a strong focus on marketing or digital analytics.
- Hands-on expertise in Marketing Mix Modeling (MMM) and Attribution Modeling.
- Strong proficiency in SQL and Python for data analysis.
- Experience with Tableau for dashboarding and automated reporting.
- Working knowledge of Google Analytics / GA4, Adobe Analytics, and marketing automation or CRM tools.
- Strong understanding of data modeling, reporting, and ROI measurement.
- Excellent stakeholder management, communication, and data storytelling skills.
- Ability to work independently in a fast-paced and ambiguous environment.
Good to Have
- Experience with Power BI / Looker / BigQuery
- Exposure to A/B testing, experimentation, or econometric modeling
- Experience working with large marketing datasets and cloud platforms
Shubham Vishwakarma
Full Stack Developer - Averlon
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Full Stack Developer - Averlon