LPM Analyst
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What you'll do
- 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.
- Conduct deep-dive customer analytics—including segmentation, retention, cohort analysis, churn modeling, and program performance—to measure and drive engagement.
- Analyze core 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 through executive reviews and compelling data storytelling.
- Work closely with Product, Data Engineering, Engineering, and Customer Success teams to translate insights into product enhancements and support ad-hoc business reviews.
- Identify opportunities to automate analytics workflows and report efficiency while maintaining clear documentation for data models, business logic, and client deliverables.
What they're looking for
- Bachelor’s degree in engineering, Computer Science, Information Technology, Statistics, Mathematics, Business Analytics, or a related field.
- Upto 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.
- Understanding of Agile methodologies and ability to work effectively in a fast-paced environment.
- Strong analytical, logical and problem-solving skills.
- Strong stakeholders’ communication skills including articulation and presentation skills.
Nice to have
- MBA from a reputed institution, preferably with a specialization in Business Analytics, Marketing Analytics, Operations, or Strategy, will be an added advantage.
- Basic knowledge of Python, R, or other analytical programming languages is a plus.
- Exposure to enterprise SaaS products or customer loyalty programs is preferred.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
About LJI
Loyalty Juggernaut (LJI) is a leading B2B SaaS company redefining how enterprises drive customer engagement and loyalty. Our flagship platform, GRAVTY®, enables global brands to transform loyalty programs into measurable, revenue-generating growth engines.
Built as an AI-first, next-generation solution, GRAVTY® empowers organizations to deliver highly personalized, real-time experiences at scale—helping them increase customer lifetime value and deepen brand relationships.
Headquartered in Palo Alto, California, LJI partners with leading enterprises across 16 major industries including airlines, retail, hospitality, financial services and telecommunications powering some of the most innovative loyalty ecosystems worldwide.
Our Global Impact:
- 400+ Million members connected through our platform.
- 100+ Global Brands trust us to drive loyalty and brand devotion.
- 3-Time Winner of “Best Technology Innovation in Loyalty”.
- Global recognitions for Excellence in Loyalty Management under numerous categories.
- Recognised as a ‘Strong performer’ in The Forrester Wave™ Loyalty Platforms, Q4 2025.
Explore more about us at www.lji.io
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.
- Upto 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 stakeholders’ 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
Why join us?
- Work with leading global brands and large-scale loyalty programs.
- Opportunity to solve complex business and data challenges.
- Collaborative and innovative work environment.
- Exposure to cutting-edge loyalty technology and analytics.
- Strong growth and learning opportunities within a rapidly expanding organization.
Company
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