Senior Data Analyst Marketing Data & Insights

Company Description

Beginning as a modest caf in 1953, Paradise Food Court Pvt. Ltd (Paradise Biryani) has grown into one of the most-admired restaurant chains in the country. It is an iconic fixture in Hyderabad, recognized for serving the best Biryani and award-winning cuisine loved for its purity and taste. With multiple formats including cafes, bakeries, and restaurants, Paradise ensures top-notch quality and hygiene standards. Recognized by respected media for authentic Hyderabadi cuisine, Paradise is poised for growth, opening new outlets in several cities across India in the coming years.

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

1. 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.

2. Customer & Funnel Analytics

• Analyse 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.

3. 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.

4. 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 analysing 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

• 3-6 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

Education:

• Bachelors or Masters degree in Statistics, Economics, Computer Science, Engineering, Data Science, Business Analytics, or a related field.
• Certifications in SQL, Tableau/Power BI, or Data Analytics are a plus.

Location: Gachibowli, Hyderabad.

What We Offer - Perks & Benefits:

1. Mediclaim Policy - Includes Family & parents
2. Life & Accident policy
3. Mobile Reimbursement
4. 5-day Working culture
5. PF & Retirement benefits as per the act
6. Growth & Clear Promotion Path

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Interested candidates are invited to share their resumes with us

Durggasi.rupa@paradisefoodcourt.in