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Advanced Data Analyst

Honeywell

Honeywell

IT, Data Science
Bengaluru, Karnataka, India
Posted on Feb 9, 2026

In this role, you will impact the organization by utilizing data-driven insights to optimize HR processes, enhance employee engagement, and support workforce planning. Your analytical skills will help identify trends and patterns that inform strategic HR decisions and initiatives.


Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
As an Advanced Data Analyst here at Honeywell, you will play a crucial role in leveraging data analytics to drive insights that enhance HR decision-making and improve organizational performance. Your expertise in data analysis will be instrumental in providing actionable recommendations that support HR initiatives and strategies
YOU MUST HAVE
  • 5+ years of transferrable experience
  • 2-4 years of Oracle OTBI experience
  • Demonstrated SQL proficiency
  • Proven track record of success in sales analytics or related roles
  • Strong analytical and problem-solving skills
  • Proficiency in data analysis tools and techniques
  • Ability to lead and inspire a team
WE VALUE
  • Bachelor's degree in Business, Statistics, or a related field
  • Master’s degree or MBA preferred
  • Strategic thinking and business acumen
  • Ability to translate data into actionable insights
  • Strong leadership and team management skills
  • Innovative and eager to learn

KEY RESPONSIBILITIES

  • Design, develop and deploy OTBI reports and dashboards
  • Conduct Voice of Customer surveys to serve as guidance for reporting and improve utilization/adoption rates
  • Conduct deep-dive analyses on workforce trends, talent acquisition, retention, employee engagement, and performance
  • Ensure data integrity and consistency across HR systems and reporting platforms
  • Collaborate cross-functionally with Finance, IT, and HR to align people data with business outcomes
  • Stay current on HR analytics trends, tools, and best practices to continuously elevate the function