Manager - Data Analytics

Company Description Elevatoz specializes in creating and managing channel loyalty, customer loyalty, and employee rewards and recognition programs. Our solutions are based on a deep understanding of human behavior, cutting-edge technology, and comprehensive program design to ensure consistent results. We design, launch, and optimize loyalty and engagement programs for channel partners and customers, powered by our user-friendly technology platform. Our expertise spans multiple domains, enabling us to partner with some of the biggest brands in the country. Role Description 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. Key Responsibilities: 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) Analytical Strength Advanced understanding of A/B testing (Split/bucket testing), segmentation, LTV, churn, funnel conversion, and seasonality analytics Ability to create actionable dashboards for marketing, sales, and agri-advisory teams Experience with geospatial analysis and agri-data like crop cycles, regions, and agri-input usage Business Alignment Domain knowledge in loyalty programs, channel sales ecosystems, and agri-tech workflows Experience working with distributors, retailers, dealers, and farmer engagement metrics Strong communication and data storytelling skills KPIs You Will Influence Loyalty redemption rate & partner engagement index Churn prediction accuracy SKU-level forecasting (Both for Loyalty and Agri input sales) Dashboard usage & insight turnaround time Time-to-decision for campaign performance Qualifications 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 Preferred Traits Curiosity-driven mindset Structured problem-solving Bias for action and ownership Strong business communication Why Join Us? Work with thought leaders and industry experts in the Agritech and Loyalty space. Opportunity to collaborate with directors and senior leadership on strategic projects. Freedom to explore new technologies and contribute to product innovation. 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 Interested candidates can share their CVs at: Immediate joiners will be given priority.