Manager - Data Analytics

2 days ago


Bangalore, India Elevatoz Loyalty Full time

Elevatoz specializes in creating and managing channel loyalty, customer loyalty, and employee rewards and recognition programs. Our expertise spans multiple domains, enabling us to partner with some of the biggest brands in the country. We are looking for a highly motivated Manager- Data Analytics with strong technical, analytical, and business skills to drive data-driven decision-making across our loyalty management and agri-tech solutions. The ideal candidate will lead data efforts from insight generation to performance measurement and automation, influencing strategies across customer engagement, partner loyalty, and agri-input intelligence. The role involves working closely with cross-functional teams to support data-driven decision-making, identifying trends, and optimizing loyalty and engagement programs. Daily tasks include data mining, statistical analysis, reporting, and using advanced analytics tools to support the business strategy. 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: 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) Advanced understanding of A/B testing (Split/bucket testing), segmentation, LTV, churn, funnel conversion, and seasonality analytics Experience with geospatial analysis and agri-data like crop cycles, regions, and agri-input usage Experience working with distributors, retailers, dealers, and farmer engagement metrics Strong communication and data storytelling skills Time-to-decision for campaign performance MBA in Data Science, Data Analytics, Economics, or related fields ~5+ years of experience in analytics roles, preferably in SaaS, Loyalty Tech, or Agri-Tech ~ Proven track record of handling end-to-end analytics projects and stakeholder communication Opportunity to collaborate with directors and senior leadership on strategic projects. A dynamic and fast-paced environment that fosters growth, learning, and career advancement. Competitive compensation, benefits, and a culture that values work-life balance. If you’re a highly driven data analyst with a passion for building scalable, high-quality & insightful data outputs, measurable insights and data visualization then we’d love to hear from you Immediate joiners will be given priority.



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