Analytics Lead (Loyalty Industry)

Role Summary

We are looking for a highly analytical and business-oriented Analytics Lead to build and scale our data intelligence capabilities across loyalty and traceability programs.

This role will transform multi-dimensional data (user coupon scans product geo time) into actionable insights that drive:

User engagement

Campaign effectiveness

Fraud detection

Product movement intelligence

The ideal candidate combines strong analytical thinking with business understanding and can independently identify opportunitiesnot just build reports.

Key Responsibilities

1. Business Analytics & Insights

Analyze program-level and company-wide data to uncover:

o User behavior patterns

o Engagement and churn drivers

o Product movement trends

Move beyond dashboards to generate actionable recommendations

2. Dashboarding & Reporting

Design and maintain dashboards using tools like:

o Power BI or Looker Studio

Build standardized views for:

o Clients (Marketing/Sales/Leadership teams)

o Internal teams (Customer Success sales operations etc)

3. Advanced Analytics Use Cases

Drive development of:

User segmentation (high/low value at-risk)

Campaign ROI analysis

Coupon/redemption behavior analysis

Geo-based performance insights

Product based performance insights

4. Predictive & Data Science Initiatives

Translate business problems into analytical models

Churn prediction models

Fraud detection logic

Demand forecasting

5. Data Structuring & Quality

Work with tech team to:

o Define data schemas

o Ensure clean structured data pipelines

Identify gaps in data collection

6. Client-Facing Insights

Generate insights for clients in a simple business-friendly way

Help convert analytics into premium value-added offerings

Required Skills

Core

Strong SQL skills

Experience with: Power BI / Looker Studio / Tableau

Advanced Excel / Google Sheets

Python (pandas basic ML concepts)

o Experience like: Google BigQuery or similar

Understanding of basic statistics

Must-have Thinking Skills

Structured problem solving

Ability to connect data and convert to business outcomes

Curiosity and ownership mindset

Experience

36 years in analytics / business intelligence

Experience in one of:

o Loyalty programs/ Customer Engagement

o FMCG / dealer networks

o SaaS / platform businesses

o Supply chain / distribution analytics