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Elevatoz Loyalty- Data Analyst Manager

Reposted 16 Days Ago
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In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
Senior level
In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
Senior level
Lead analytics for loyalty and agri-tech: design dashboards, build ETL pipelines, perform segmentation and predictive modeling, ensure data quality and governance, and mentor junior analysts while partnering with product, marketing, sales and ops.
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About the company-

Elevatoz Loyalty creates and manages customized loyalty, rewards, and recognition programs for businesses to boost engagement and sales with employees, channel partners, and customers, using a data-driven framework, behavioral science, and a configurable technology platform for personalized rewards, gamification, and analytics to build stronger relationships and drive performance. They focus on 360-degree programs that adapt to specific needs, offering tangible rewards and fostering emotional bonds for measurable results.

Roles and Responsibility

• Lead the development of analytics solutions across loyalty and agri-tech domains.

• Design, manage, and optimize dashboards and reports that support business KPIs like redemptions, partner performance, campaign ROI, and seasonal 

agri trends.

• Collaborate with cross-functional teams – marketing, ops, product, and sales – to translate business questions into data insights.

• Build and maintain ETL pipelines that source data from loyalty platforms, CRMs, ERP, mobile apps, and IoT/field devices.

• Conduct deep-dive analysis on partner segmentation, user behavior, product adoption, and redemption patterns.

• Implement predictive models for churn, redemptions, crop-linked SKU forecasting, and personalized incentives.

• Own data quality, security, and governance policies.

• Mentor junior analysts and drive adoption of data tools across teams.

Required Skills & Experience:

Technical Expertise

• SQL (Advanced), Python

• Data visualization tools: Power BI / Google Data Studio / Superset / Metabase

• ETL Tools: Airflow, dbt, Talend, custom Python pipelines

• Cloud: Digital Ocean, AWS, or Azure

• Data Modeling & Schema Design (Star/Snowflake)

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