Role Overview:

The Marketing Analytics & Insights Lead will be responsible for building the analytics backbone of marketing and ecommerce.

This role will transform raw data into structured insights, enable faster decision-making, and standardize reporting across teams. You will work closely with brand, performance, CRM, ecommerce, and leadership teams to drive measurable business impact.

This is a high-ownership role that blends analytical depth with business understanding.

Key Responsibilities:

Dashboards & Reporting Infrastructure:

- Build and maintain clear, reliable dashboards across marketing, ecommerce, and delivery platforms.

- Standardize reporting formats, KPIs, and data definitions across teams.

- Reduce dependency on fragmented/manual reporting systems.

- Establish daily, weekly, and monthly reporting cadences for leadership visibility.

Customer & Funnel Analytics:

- Analysis customer acquisition, retention, and lifecycle metrics.

- Conduct cohort analysis, funnel analysis, and segmentation to identify growth opportunities.

- Track performance across dine-in, takeaway, and delivery channels.

- Support CRM and retention strategies through data-backed insights.

- Campaign & Marketing Effectiveness

- Track and measure brand and performance campaign effectiveness.

- Improve marketing ROI by identifying high-performing channels, creatives, and offers.

- Support attribution and experimentation frameworks where applicable.

- Provide actionable recommendations to optimize media spends and customer acquisition strategies.

Cross-Functional Business Support:

- Enable leadership and teams to make faster decisions via structured analysis.

- Work closely with marketing, ecommerce, CRM, finance, and operations teams.

- Translate complex datasets into simple, actionable business narratives.

Success Metrics:

- Clear, accurate dashboards adopted across teams

- Improved marketing ROI and channel optimization

- Faster decision-making through structured reporting

- Improved customer retention and lifecycle value insights

- Reduced manual reporting dependency

- Standardized KPI tracking across cities and channels

Competencies (Must Have):

- Strong analytical and structured problem-solving skills

- Experience working with large datasets across multiple sources (apps, CRM, POS, delivery platforms)

- Strong Excel and data analysis capability

- SQL proficiency and experience querying databases

- Experience with dashboard tools (Power BI, Tableau, Looker, etc.)

- Understanding of customer funnels and lifecycle metrics

- Ability to convert raw data into clear, actionable insights

- Comfort operating in fast-paced business environments

Good to Have:

- Python or R for advanced analysis

- Exposure to A/B testing and experimentation frameworks

- Basic understanding of attribution modelling

- Experience analyzing marketing and performance data

Soft Skills:

- Curiosity-driven mindset - asks the right business questions

- High ownership of data accuracy and reliability

- Clear communicator who simplifies complexity

- Structured and detail-oriented

- Strong collaboration across cross-functional teams

- Responsive to evolving business needs

Ideal Candidate Profile:

- 5-8 years of experience in data analytics or business analytics roles

- Background in consumer internet, QSR, food delivery, ecommerce/D2C, FMCG analytics, retail, or consulting

- Experience in high-frequency consumer businesses preferred

- Demonstrated ability to influence business decisions through insights