Manager - Data Analytics

Company DescriptionElevatoz 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 DescriptionWe 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 usageBusiness 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 skillsKPIs 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 performanceQualifications- 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 communicationPreferred Traits- Curiosity-driven mindset - Structured problem-solving - Bias for action and ownership - Strong business communicationWhy 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: helma.mathew@Immediate joiners will be given priority.

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