Marketing Strategy and Analytics Manager
New
J
JobgetherMarketing Analytics
IndiaFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 6+ years
- Required Skills
- PythonSQLBusiness IntelligenceA/B testingData analytics
Requirements
- 6+ years of experience in marketing analytics, business intelligence, data science, or a related analytical field with proven business impact.
- Strong proficiency in Python and SQL, with experience analyzing large and complex marketing datasets.
- Hands-on understanding of Media Mix Modeling concepts and experience working with MMM frameworks, tools, or comparable econometric approaches.
- Solid knowledge of statistics, regression analysis, experimentation methods, A/B testing, and incrementality measurement.
- Experience partnering with senior stakeholders across Marketing, Sales, Finance, Product, or similar business functions.
- Strong storytelling and communication skills, with the ability to present insights effectively to executive audiences.
- Understanding of digital and traditional marketing channels, customer funnels, and B2B or B2C marketing strategies.
- Experience building analytics solutions, dashboards, or reusable data tools.
- Ability to work independently, manage ambiguity, and prioritize initiatives in a fast-paced environment.
Responsibilities
- Act as a trusted analytics partner for marketing leadership by translating business questions into data-driven strategies and recommendations.
- Conduct end-to-end analyses across marketing funnels, campaign performance, channel effectiveness, and return on investment.
- Apply and interpret Media Mix Modeling outputs, including scenario analysis and regional adaptations, to support strategic decisions.
- Partner with data science teams to refine modeling approaches, validate assumptions, and prioritize impactful analytical opportunities.
- Build incremental measurement solutions such as experimentation frameworks, geo-lift testing, channel diagnostics, and performance analyses.
- Develop scalable analytics tools, dashboards, and workflows using Python, SQL, and modern data practices.
- Create executive-ready presentations and communicate complex analytical findings clearly to technical and non-technical stakeholders.
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