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.