Manager - Marketing Analytics

1 week ago


Gurgaon, Haryana, India Cars24 Full time

  • Perform a comprehensive analysis of marketing and product data to identify trends, patterns, and opportunities for optimization.
  • Develop and maintain analytical frameworks and models to measure marketing and product performance, customer behaviour, and ROI.
  • Collaborate with the Marketing team to design and execute experiments, A/B tests, and multivariate tests to optimize marketing campaigns and channels.
  • Generate regular reports and dashboards to track key performance metrics and provide actionable insights to stakeholders.
  • Conduct deep-dive analysis on customer segmentation, acquisition channels, conversion rates, and lifetime value to identify opportunities for customer growth and retention.
  • Work closely with Product Management to analyse user behaviour, product usage, and feature performance to inform product development and enhancements.
  • Collaborate with Data Science teams to leverage advanced analytics techniques, predictive modelling, and machine learning to uncover actionable insights.
  • Stay up-to-date with industry trends, emerging analytics tools, and best practices in marketing and product analytics.
  • Present findings, recommendations, and insights to cross-functional teams and senior management in a clear and concise manner.
  • Provide guidance and mentorship to junior members of the analytics team, sharing knowledge and fostering a culture of continuous learning and Bachelor's and/or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
2. 2-8 years of experience in Marketing and Product Analytics, preferably in a fast-paced, data-driven environment.

  • Proficiency in data manipulation, analysis, and visualization using tools such as SQL, Python, R, or similar.
  • Strong understanding of statistical analysis techniques, experiment design, and multivariate testing.
  • Experience with web analytics platforms (e.g., Google Analytics, Adobe Analytics) and marketing automation tools.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) to create compelling visual representations of data insights.
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