Develop and implement analytical models to gain insights from complex data sets related to program health.
Build and maintain SharePoint for effective team communication and collaboration.
Collaborate with teams to identify challenges and provide data-driven solutions.
Analyze trends and patterns using statistical techniques to support decision-making.
Ensure data governance and maintain data quality standards.
Contribute to the success of development program initiatives through data-driven decisions.
Ensure data integrity, accuracy, and accessibility.
Manage and optimize data processes to support business functions.
Track participant progress and training outcomes in development programs to evaluate effectiveness.
Organize SharePoint content, ensuring it is current and relevant to support collaboration.
Utilize SharePoint features to enhance communication and project management within the team.

Minimum of 5 years of experience in data analytics and advanced data modeling.
Strong proficiency in data analysis tools and programming languages, including SQL, Python, or R.
Expertise in data visualization tools such as Tableau or Power BI to effectively present insights.
Solid understanding of statistical analysis techniques and methodologies.
Experience with data governance and data quality assurance practices.
Strong integrity and communication skills.
Bachelor’s or master's degree in data science, Analytics, Computer Science, or a related field is preferred.

In addition to a performance-driven salary, cutting-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 Paid Holidays.

Senior Advanced Data Analyst

Key skills