Marketing Analytics
About the Role We are looking for a talented and driven Marketing Analytics professional to join our growing team in India. In this role, you will be at the intersection of data science and marketing strategy, transforming complex datasets into actionable insights that fuel busin...
About the role
About the Role
We are looking for a talented and driven Marketing Analytics professional to join our growing team in India. In this role, you will be at the intersection of data science and marketing strategy, transforming complex datasets into actionable insights that fuel business growth. You will work closely with marketing, product, and technology teams to measure campaign performance, understand customer behaviour, and optimize marketing spend across digital and offline channels. This is an exciting opportunity for analytical minds who are passionate about leveraging data to shape impactful marketing decisions in a fast-paced, collaborative environment.
Key Responsibilities
- Collect, process, and analyze large volumes of marketing data from multiple sources including CRM platforms, social media, paid media, email campaigns, and web analytics tools.
- Build and maintain dashboards and performance reports to track key marketing metrics such as CAC, ROAS, LTV, conversion rates, and funnel efficiency.
- Develop predictive models and customer segmentation frameworks to support targeted marketing campaigns and personalization strategies.
- Conduct A/B testing and multivariate experiments to evaluate the effectiveness of marketing creatives, landing pages, and campaign strategies.
- Collaborate with digital marketing teams to optimize paid search, social media advertising, and SEO performance through data-driven recommendations.
- Perform attribution modeling to accurately assess the contribution of each marketing channel to overall revenue and pipeline generation.
- Present findings and strategic recommendations clearly to senior stakeholders and non-technical teams through compelling visualizations and storytelling.
- Monitor industry trends, competitive landscape, and emerging analytics technologies to continuously improve analytical capabilities and methodologies.
Requirements
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- 2–5 years of hands-on experience in marketing analytics, digital analytics, or a similar data-driven role within a corporate or agency environment.
- Proficiency in SQL, Python, or R for data extraction, manipulation, and statistical analysis, along with experience using visualization tools such as Tableau, Power BI, or Looker.
- Strong understanding of digital marketing channels, campaign metrics, and platforms including Google Analytics, Google Ads, Meta Ads Manager, and marketing automation tools.
- Demonstrated experience with statistical techniques including regression analysis, clustering, hypothesis testing, and forecasting models.
- Excellent communication and presentation skills with the ability to translate complex analytical findings into clear, business-relevant insights for diverse audiences.
- Strong attention to detail, critical thinking ability, and a proactive approach to identifying opportunities and solving analytical challenges independently.
Benefits
- Competitive compensation package with performance-linked bonuses and annual increments aligned with market standards across major Indian metros.
- Flexible working arrangements including hybrid work options, allowing employees to maintain a healthy work-life balance without compromising productivity.
- Comprehensive health insurance coverage for employees and their immediate family members, including medical, dental, and wellness benefits.
- Continuous learning and development opportunities through sponsored certifications, industry conferences, online courses, and internal mentorship programmes.
- A vibrant, inclusive workplace culture that values innovation, diversity, and collaboration, offering clear career growth pathways within the organization.