Sr Data Analytics Supervisor

Honeywell
Bengaluru, Gurugram, Delhi
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: ["Leadership","Problem-solving","Data-driven decision-making","Coaching","Cross-functional collaboration"]

Develop and govern channel sales analytics strategies to improve partner performance, forecasting accuracy, and inventory health. Lead partner tiering and segmentation, build channel intelligence by integrating sales, market, customer, and competitive data, and drive AI and advanced analytics for anomaly detection and better decision-making. Create executive dashboards and KPI scorecards, ensure data quality and governance, and partner with Sales, Channel Management, Supply Chain, Finance, and IT to deliver scalable analytics solutions.

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Honeywell
Honeywell
1 day ago

Sr Data Analytics Supervisor

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Job Summary

Develop and govern channel sales analytics strategies to improve partner performance, forecasting accuracy, and inventory health. Lead partner tiering and segmentation, build channel intelligence by integrating sales, market, customer, and competitive data, and drive AI and advanced analytics for anomaly detection and better decision-making. Create executive dashboards and KPI scorecards, ensure data quality and governance, and partner with Sales, Channel Management, Supply Chain, Finance, and IT to deliver scalable analytics solutions.
Location: Bengaluru, Gurugram, Delhi
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Manager level

Key Responsibilities

  • •Develop and implement channel sales analytics strategies, frameworks, and governance processes to support growth and operational excellence.
  • •Lead channel partner tiering and segmentation using data to identify opportunities, optimize partner investments, and improve performance.
  • •Drive inventory analytics and management to improve inventory health, minimize excess/obsolete inventory, and support demand planning and forecasting.
  • •Lead adoption of AI and advanced analytics to enhance forecasting accuracy, partner recommendations, anomaly detection, and decision-making.
  • •Design and maintain executive dashboards, KPI scorecards, and reporting frameworks; ensure data quality, governance, and consistency; partner with cross-functional teams to build scalable analytical solutions.

Key Requirements

  • •5+ years of experience in data analytics.
  • •Strong analytical and problem-solving skills to translate complex data into actionable insights.
  • •Proficiency in data analytics tools and programming languages (e.g., Python, R, SQL).
  • •Experience with data visualization tools (e.g., Tableau, Power BI).
  • •Experience with data governance and data quality initiatives.
Experience:Supply chain analytics
Education:Bachelor's
Skills:LeadershipProblem-solvingData-driven decision-makingCoachingCross-functional collaboration
Tech Stack:PythonRSQLTableauPower BIAIMachine learningPredictive modelingDashboardsKPI scorecards

Company Brief

Honeywell
Global diversified technology and manufacturing company providing aerospace systems, building technologies, performance materials, and safety & productivity solutions for industrial, commercial, and consumer markets.
Industry: Conglomerates & Holding Companies
Company Size: Enterprise (1,001+ employees)
Revenue: USD 25B to 50B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Charlotte, United States
Founded: 1906
Glassdoor
Glassdoor: 3.8
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