We are seeking a highly skilled and experienced Principal HCM Analytics specialist to join our team. The ideal candidate will have a strong background in Oracle HCM, Oracle Fusion Data Intelligence (formerly FAW), OTBI, and BIP Reporting, with knowledge on predictive models and AI/ML. They will be responsible for designing and implementing data warehousing solutions, creating visualizations, and ensuring data security within the HCM domain.

 You will report directly to our Director, IT and you’ll work out of our Charlotte, NC location on a Hybrid work schedule.

YOU MUST HAVE

• 10+ years of experience, preferably in HCM domain.
• Strong HR Domain knowledge with understanding of data models, KPIs, Metrics, visualizations, and Security
• Extensive experience in data warehousing technology and BI administration tools.
• Proven experience in creating and handling complex SQL queries.
• Strong understanding of Oracle data analysis and performance optimization.

WE VALUE

• Experience in the HR domains, specifically in Oracle Cloud.
• Bachelors/Master’s degree preferably in Analytics, IT, Computers, Information Systems
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Ability to drive team and manage stakeholders
• Presentation skills to share strategy, solutions, recommendations
• Certified in FAW (Fusion Analytics Warehouse)

BENEFITS OF WORKING FOR HONEYWELL

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world’s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here

*Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more about inclusion and diversity :*click here

Key Responsibilities:

• Lead Analytics projects and coordinate with other stakeholders including but not limited to Senior Leadership, HR Stakeholders, IT Stakeholders, EDW team, and Architects
• Drive the Analytics team, ensuring their deliverables align with enterprise objectives
• Understand, build, and develop FAW, OTBI, and BIP reports and analytics for data reporting and integration, including ODI/Informatica.
• Create and manage visualizations, including Tree Maps, Heat Maps, and Scatter Plots.
• Ensure data security and compliance with industry standards, in Oracle HCM’s OTBI/BIP and FDI
• Design star schemas, fact and dimension tables, and perform physical and logical data modeling.
• Administer BI tools, including metadata modeling, dashboards, DV, Object Level Security, and Data Level Security.
• Handle data migrations and create complex SQL queries across multiple databases.
• Analyze and troubleshoot Oracle data and performance issues.
• Experience implementing predictive models and AI/ML algorithms.
• Stakeholder management and effective Prioritization
• Act as SME for Analytics to lead, guide and coach the teams
• Help develop and implement data strategies that drive business values