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
- Bachelor’s or master’s in engineering, Data Science, 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!
Apply Now!