LPM Analyst

Loyalty Juggernaut; Hyderabad; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Loyalty Juggernaut is seeking a data-driven Analyst to help clients maximize loyalty program value through actionable insights and data-backed recommendations. You will deliver reporting, analytics, and strategic insights to enterprise clients and cross-functional teams to drive engagement and growth.

You will own dashboards, perform advanced loyalty analytics, and model program economics while collaborating with Product, Data Engineering, and Customer Success to translate insights into tangible

Qualifications

• Bachelor's degree in engineering, CS, IT, statistics, math, business analytics, or related field.
• MBA from a reputed institution with analytics specialization is a plus.
• Up to 3 years of experience in BI, data analytics, reporting, or a similar role.
• Strong SQL and database fundamentals.
• Experience with Tableau, Power BI, Looker, or similar BI tools.
• Knowledge of data warehousing, ETL, and dimensional modeling.
• Familiarity with cloud data platforms such as Snowflake, BigQuery, Redshift, or Databricks.
• Basic knowledge of Python, R, or other analytical programming languages is a plus.
• Understanding of Agile methodologies and ability to work effectively in a fast-paced environment.
• Strong analytical, logical and problem-solving skills.
• Strong stakeholder communication skills including articulation and presentation skills.
• Exposure to enterprise SaaS products or customer loyalty programs is preferred.

Responsibilities

• Design, build, and maintain scalable dashboards and reports with SQL and BI tools.
• Conduct deep-dive customer analytics including segmentation, retention, cohort analysis, churn modeling, and program performance.
• Analyze core loyalty program economics, such as earn-burn ratios, redemption trends, liability, breakage, and financial impact metrics.
• Partner with client stakeholders to define success metrics, translate business questions into analytical solutions, and deliver data-driven recommendations.
• Collaborate with Product, Data Engineering, Engineering, and Customer Success to translate insights into product enhancements and support ad-hoc business reviews.
• Identify opportunities to automate analytics workflows and document data models, business logic, and client deliverables.

Skills

SQL

BI tools

Tableau

Power BI

Looker

ETL

Data warehousing

Cloud platforms

Python

Agile

SaaS familiarity

Stakeholder comms

Education

Bachelor's degree in engineering / CS / IT / statistics / math / business analytics

MBA with analytics specialization

Tools

Tableau

Power BI

Looker

Snowflake

BigQuery

Redshift

Databricks

Python

ETL tools

Job description

Role Overview

We are seeking a data-driven Analyst to help clients maximize the value of their loyalty programs through actionable insights and data-backed recommendations. This role will work closely with our enterprise clients and cross-functional teams to deliver reporting, analytics, and strategic insights that drive customer engagement and business growth.

What you will OWN

• BI & Dashboard Management: Design, build, and maintain scalable dashboards, reports, and data visualizations using SQL and BI tools to track business, product, and loyalty program KPIs while ensuring data quality and accuracy.
• Customer & Loyalty Analytics: Conduct deep-dive customer analytics including segmentation, retention, cohort analysis, churn modeling, and program performance to measure and drive engagement.
• Loyalty Economics & Financial Analysis: Analyze core program economics, such as earn-burn ratios, redemption trends, liability, breakage, and financial impact metrics.
• Client Engagement & Strategic Consulting: Partner with client stakeholders to define success metrics, translate business questions into analytical solutions, and deliver data-driven recommendations through executive reviews and compelling data storytelling.
• Cross-Functional Collaboration: Work closely with Product, Data Engineering, Engineering, and Customer Success teams to translate insights into product enhancements and support ad-hoc business reviews.
• Process Automation & Documentation: Identify opportunities to automate analytics workflows and report efficiency while maintaining clear documentation for data models, business logic, and client deliverables.

To be successful in this role, you should have

• Bachelor's degree in engineering, Computer Science, Information Technology, Statistics, Mathematics, Business Analytics, or a related field.
• MBA from a reputed institution, preferably with a specialization in Business Analytics, Marketing Analytics, Operations, or Strategy, will be an added advantage.
• Up to 3 years of experience in Business Intelligence, Data Analytics, Reporting, or a similar role.
• Strong SQL and database fundamentals.
• Experience with BI tools such as Tableau, Power BI, Looker, or similar platforms.
• Knowledge of data warehousing, ETL processes, and dimensional modeling.
• Familiarity with cloud data platforms such as Snowflake, BigQuery, Redshift, or Databricks.
• Basic knowledge of Python, R, or other analytical programming languages is a plus.
• Understanding of Agile methodologies and ability to work effectively in a fast-paced environment.
• Strong analytical, logical and problem-solving skills.
• Strong stakeholder communication skills including articulation and presentation skills.
• Exposure to enterprise SaaS products or customer loyalty programs is preferred.

Key Competencies

• Data Analysis & Visualization
• Business Requirement Gathering
• SQL & Database Management
• Problem Solving & Root Cause Analysis
• Stakeholder Communication
• Attention to Detail
• Collaboration & Teamwork
• Customer-Centric Mindset

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.