We are looking for an experienced and detail-oriented Digital & Marketing Analytics Lead to drive data-driven decision-making across marketing, digital journeys, and commercial products. You will lead the end-to-end analytics process, from framing business questions to creating actionable insights. This role requires technical expertise, strategic thinking, and a passion for uncovering data trends that shape business strategies.
Key Responsibilities
- Analytics Strategy:
- Collaborate with business units to identify key business questions and define analytics goals.
- Develop frameworks for analyzing marketing performance, digital customer journeys, and commercial product outcomes.
- Platform Implementation:
- Oversee the integration of analytics platforms across digital and offline marketing channels, mobile apps, and websites.
- Define tagging requirements and communicate technical specifications to tech teams for implementation. E.g. Clevertap, Google Analytics, Adjust MMP platforms.
- Data Integration and Reporting:
- Combine analytics data with financial, operational, and other data sources to deliver holistic insights.
- Build intuitive reports and dashboards using tools like Redash, Tableau, Superset, or similar platforms.
- Data Analysis and Insight Generation:
- Analyze customer behaviors across offline and online channels, focusing on acquisition, engagement, and retention metrics.
- Present findings to stakeholders, translating complex data into actionable business recommendations.
- Stakeholder Communication:
- Serve as a bridge between marketing, technical, and business teams, ensuring alignment on data goals.
- Educate teams on how data is sourced, manipulated, and applied for decision-making.
Requirements
- Experience:
- 4 - 8 years in marketing or digital analytics.
- Proven experience with mobile app and web analytics, including user behavior and commercial performance.
- Familiarity with online and offline channel analytics (e.g., social media, SEM, CRM campaigns, offline events).
- Background in tech, fintech, e-commerce, or digital-first industries preferred.
- Technical Skills:
- Statistics or mathematics, and data mining proficiency highly preferred
- Proficient in SQL or similar tools for querying and data manipulation.
- Hands-on experience with digital analytics platforms like Clevertap, Google Analytics, Mixpanel, Firebase, or similar tools.
- Knowledge of data visualization tools such as Redash, Superset, or Tableau or similar platforms.
