Elevatoz Loyalty- Data Analyst Manager

Reposted 19 Days Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
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.
Summary Generated by Built In

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)

Skills Required

  • Advanced SQL
  • Python
  • Power BI
  • Google Data Studio
  • Superset
  • Metabase
  • Airflow
  • dbt
  • Talend
  • Experience building ETL pipelines (including custom Python pipelines) from loyalty platforms, CRMs, ERPs, mobile apps, IoT/field devices
  • Cloud experience (DigitalOcean, AWS, or Azure)
  • Data modeling and schema design (Star/Snowflake)
  • Experience implementing predictive models (churn, redemptions, SKU forecasting, personalized incentives)
  • Ownership of data quality, security, and governance policies
  • Experience mentoring junior analysts and driving adoption of data tools
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The Company
100 Employees

What We Do

NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.

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