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 ExpertiseSQL (Advanced), PythonData visualization tools: Power BI / Google Data Studio / Superset / MetabaseETL Tools: Airflow, dbt, Talend, custom Python pipelinesCloud: Digital Ocean, AWS, or AzureData Modeling & Schema Design (Star/Snowflake)Analytical StrengthAdvanced understanding of A/B testing (Split/bucket testing), segmentation, LTV, churn, funnel conversion, and seasonality analyticsAbility to create actionable dashboards for marketing, sales, and agri-advisory teamsExperience with geospatial analysis and agri-data like crop cycles, regions, and agri-input usageBusiness AlignmentDomain knowledge in loyalty programs, channel sales ecosystems, and agri-tech workflowsExperience working with distributors, retailers, dealers, and farmer engagement metricsStrong communication and data storytelling skillsKPIs You Will InfluenceLoyalty redemption rate & partner engagement indexChurn prediction accuracySKU-level forecasting (Both for Loyalty and Agri input sales)Dashboard usage & insight turnaround timeTime-to-decision for campaign performanceQualificationsMBA in Data Science, Data Analytics, Economics, or related fields5+ years of experience in analytics roles, preferably in SaaS, Loyalty Tech, or Agri-TechProven track record of handling end-to-end analytics projects and stakeholder communicationPreferred TraitsCuriosity-driven mindsetStructured problem-solvingBias for action and ownershipStrong 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 youInterested candidates can share their CVs at: joiners will be given priority.