Manager – Data Analytics

Elevatoz AgriTech; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Elevatoz AgriTech in Bengaluru seeks a Manager- Data Analytics to drive data-driven decisions across loyalty and agri-tech solutions. You will lead insight generation, performance measurement, and automation, shaping strategies for customer engagement, partner loyalty, and agri-input intelligence.

You will design dashboards, manage ETL pipelines, mentor analysts, and ensure data quality and governance while collaborating with marketing, operations, product, and sales.

Qualifications

• Bachelor's or Master's in engineering, data science, economics, or related fields.
• 5+ years in analytics roles.
• Experience communicating with stakeholders and translating business questions into data insights.
• Experience in SaaS, Loyalty Tech or Agri-Tech is a plus.

Responsibilities

• Lead analytics solution development across loyalty and agri-tech domains.
• Design, manage and optimize dashboards and reports for KPIs like redemptions, partner performance, campaign ROI.
• Collaborate with marketing, ops, product, and sales to translate business questions into data insights.
• Build and maintain ETL pipelines sourcing data from loyalty platforms, CRMs, ERP, apps, and IoT devices.
• Mentor junior analysts and drive adoption of data tools across teams.

Skills

SQL (Advanced)

Python

Power BI

Google Data Studio

Airflow

dbt

Talend

Cloud: AWS / Azure / DO

Education

Bachelor's or Master's in Engineering

Data Science

Economics

Tools

Power BI

Google Data Studio

Superset

Metabase

Airflow

dbt

Talend

Python pipelines

Job description

About The Role

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.

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!