Senior Marketing Analyst

Role & responsibilities

• Lead and mentor a team of marketing analysts to deliver actionable insights and support strategic business decisions.
• Partner with Performance Marketing, Brand, and Retention teams to measure campaign effectiveness and optimize marketing investments across channels.
• Analyze customer acquisition costs, customer lifetime value, retention metrics, and marketing ROI to identify growth opportunities.
• Develop and implement marketing attribution models, including Marketing Mix Modelling (MMM) and Multi-Touch Attribution (MTA).
• Build automated dashboards, analytical products, and reporting frameworks using tools such as Tableau, Power BI, AWS QuickSight, or Apache Superset.
• Leverage advanced SQL, Python or R to perform statistical analysis, data manipulation, and workflow automation.
• Work with data warehousing, data marts, and cloud data platforms such as Snowflake, Amazon Redshift, and Databricks to develop scalable analytical solutions.
• Utilize web and app analytics platforms such as Google Analytics, Mixpanel, CleverTap, and AppsFlyer to understand customer behaviour and campaign performance.
• Design and analyze A/B tests and multivariate experiments to evaluate campaign effectiveness and improve marketing outcomes.
• Collaborate with Data & Analytics teams to strengthen data models and improve the availability and reliability of marketing data.
• Translate complex analytical findings into clear business recommendations and present insights to senior leadership.
• Proactively identify business challenges, develop structured analytical frameworks, and drive initiatives that improve marketing efficiency and business performance.

Preferred candidate profile

• 515 years of relevant experience in Marketing Analytics, Marketing Science, Customer Analytics, or Business Analytics.
• Strong expertise in SQL and advanced proficiency in Python or R for data analysis, statistical modeling, and automation.
• Hands-on experience with BI and data visualization tools such as Tableau, Power BI, AWS QuickSight, or Apache Superset.
• Strong understanding of marketing attribution, campaign measurement, experimentation, and performance analytics.
• Experience working with web and app analytics tools and cloud-based data platforms.
• Strong understanding of customer acquisition, retention, customer lifetime value, and marketing investment optimization.
• Excellent analytical thinking and structured problem-solving skills, with the ability to convert complex business problems into actionable insights.
• Strong stakeholder management, communication, data storytelling, and executive presentation skills.
• Proven leadership skills, proactive ownership, and the ability to drive measurable business impact through data-driven decision-making.
• Experience in e-commerce, retail, consumer internet, or B2C organizations is preferred