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Manager - Data Analytics

Manager - Data Analytics

Elevatoz Loyaltybangalore, karnataka, in
9 hours ago
Job description

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 : helma.mathew@elevatozloyalty.com

    Immediate joiners will be given priority.

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    Data Manager • bangalore, karnataka, in