Marketing Science Analyst II (Telangana)

We are seeking a Marketing Science Analyst II to join our Marketing Analytics team in Hyderabad. In this role, you will partner with paid media, growth, and cross-functional teams to measure and optimize marketing performance across digital and offline channels. You will play a key role in campaign measurement, attribution, experimentation, and reporting translating complex data into actionable insights that drive business growth.

This position is ideal for a highly analytical professional with hands-on marketing analytics experience who is ready to take ownership of measurement frameworks while collaborating across a global organization.

Responsibilities Campaign Measurement & Attribution

• Support the tracking and reporting of campaign performance by compiling relevant KPIs and spend data.
• Assist in incrementality testing efforts and contribute to A/B test setup and execution for marketing initiatives.
• Help evaluate performance using MMM inputs, basic channel lift analysis, and cross-channel measurement frameworks.

Performance Analytics & Optimization

• Track and report key performance metrics including Signups, CAC, CPFT, and payback periods.
• Conduct deep-dive analyses to identify performance drivers and optimization opportunities.
• Assist in maintaining regular campaign reporting across lines of business.
• Develop and refine audience segments for targeted paid campaigns, leveraging data insights to enhance performance

Data Analysis & Reporting

• Write complex SQL queries to analyze large datasets (millions to billions of records).
• Build and maintain dashboards in Tableau (or similar BI tools) to support stakeholder reporting needs
• Collaborate with analytics engineering teams to improve data quality, pipelines, and reporting processes.

Experimentation & Insights

• Assist in executing the test roadmap aligned with marketing goals.
• Apply basic statistical methods to evaluate experiments and measure performance impact.
• Support the translation of findings into clear insights and actionable recommendations.
• Support MMM modeling efforts within Marketing Science by contributing to data inputs and assisting in the interpretation of model outputs for marketing measurement

Cross-Functional Collaboration

• Work closely with PMUA, GTM, Analytics, and Data Engineering teams to align on KPIs and measurement standards.
• Maintain documentation and support alignment across teams.
• Contribute to bi-weekly insights decks and leadership reporting.

About You

• 2+ years of experience in marketing analytics, data analytics, or a related quantitative field.
• 2+ years of experience writing complex SQL queries and working with large datasets.
• Experience with marketing attribution, paid media analytics, and performance measurement.
• Familiarity with marketing tools such as Google Analytics, Braze,Singular, Mixpanel or similar platforms.
• Robust understanding of:
• Descriptive statistics
• Experimental design and A/B testing
• Key marketing KPIs (CAC, LTV, ROAS, retention)
• Familiarity with statistical methods and exposure to data science techniques (e.g., regression, experimentation, MMM) in a marketing analytics context.
• Experience with BI tools such as Tableau, Power BI, or similar.
• Strong communication skills with the ability to translate complex data into clear, actionable insights.
• Proven ability to collaborate across cross-functional and global teams.
• Bachelor s degree in Statistics, Computer Science, Engineering, or a related quantitative field.

Good to Have

• Experience with cloud data warehouses such as Snowflake or Redshift.
• Exposure to Marketing Mix Modeling (MMM) or advanced attribution modeling.
• Experience with analytics engineering tools such as Databricks.
• Exposure to automation of marketing reporting pipelines.

A Day in the Life

• Analyze campaign performance across paid social, search, display, and offline channels.
• Evaluate incrementality tests and provide recommendations on budget allocation.
• Build dashboards and automated reports to scale insights delivery.
• Partner with marketing leads to refine KPIs and measurement frameworks.
• Deliver insights to leadership through structured storytelling and data visualization.
• Contribute to sprint planning and collaborate with global stakeholders to drive high-impact analytics initiatives.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.