SPECIFIC JOB RESPONSIBILITIES:

• Data Engineering and Technical Delivery – Ability to use data for Exploratory, descriptive, Inferential, Prescriptive, and Advanced Analytics.
• Work closely with business partners to translate complex business problems into analytics problems and solutions. Ask questions to understand business intent, problem statement, analytics opportunity and value creation.
• Apply technical domain knowledge and analytics to practical problems to develop new innovative analytics solutions/platforms/ offerings.
• Work independently for solving complex problems with minimum guidance. Quickly learn the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions. Support the evaluation of the need of technology and novel scientific software, visualization tools and new approaches to increase efficiency.
• Drive Commercial excellence Strategies, Efficiencies and enable change management .
• Independently identify novel ideas and propose them for application to business problems/ scenarios.
• Plan and execute data mining, data integration, trend analysis, report development and custom analytics to create solutions and align with organizational strategies.
• Drive the greater adoption of Snowflake within HON.

CRITICAL COMPETENCIES:

• Strong intuition for data and keen aptitude on large scale data analysis
• Excellent problem-solving ability and results oriented focus. Ability to translate analysis and insights into actionable recommendations.
• Understand ambiguous issues / scenarios – able to distil learning and simplify
• Good understanding of Pricing methods and their interdependencies.
• Excellent analytical skills with demonstrated ability to query, analyses, explain and draw logical conclusions from operational & financial data and present findings in a simple manner
• Strong financial acumen with the ability to interpret financial data
• Innovative, creative, and proactive.
• Highly driven, energetic, flexible, resourceful & ability to multitask.
• Strong influencing skills, including demonstrated ability to influence and drive results at all levels of the organization
• Team Player, open to feedback, and flexible & adaptable to changing needs.

BASIC QUALIFICATIONS:

Education: BE/ B Tech in any Engineering discipline + MS/MBA in Business Analytics,

Computer science or data Science (Engineering or any related field). MBA and CPIM is a plus

Certifications in Business Analytics, Pricing

Experience: 15 + years ; Of which, 10 + years of Proven Analytics Experience.