Manager - Data Analytics

5 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

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

Manager- Data Analytics


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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