What are the responsibilities and job description for the Sr Data Management Analyst position at honeywell?
As a Sr. Data Management Analyst here at Honeywell, you will play a crucial role in overseeing the management and analysis of large volumes of data. Your primary responsibility will be ensuring the efficient handling of data and driving business insights. You will develop and implement data management strategies, policies, and procedures, collaborating with cross-functional teams to identify data requirements and ensure data quality and integrity. Additionally, you will oversee data governance activities, manage data integration and migration projects, and stay up-to-date with industry trends and best practices in data management. Your strong leadership, problem-solving, and communication skills will be essential in this role.
You will report directly to our Director, and you will work out of our Charlotte, NC or Phoenix, AZ or Atlanta, GA or Houston, TX or Raleigh, NC location on a Hybrid work schedule
- Hybrid Work Schedule Note: For the first 90 days, New Hires must be prepared to work 100% onsite M-F.
In this role, you will impact the efficient handling of data and drive business insights, ensuring data quality and integrity. As a key member of the Data Management team, you will contribute to the development and implementation of data management strategies and policies, collaborating with cross-functional teams to identify data requirements and drive data-driven decision-making. Your expertise in data management and analysis will be instrumental in shaping the future of our data infrastructure and driving business success.
KEY RESPONSIBILITIES
Data Migration Implementation Strategy and Project Management
- Lead data migration activities working with various data stakeholders and business to develop robust data plans in support of deployments, projects or enhancements
- Partner with project managers on deployments and projects to ensure data schedule alignment
- Enforce Management Operating system and methodologies for Data Migrations and Transitions into core ERP applications
- Ensure that data related reporting metrics and status updates are created and are accurate at any given time
- Establish or enforce best practices needed for new data solution implementations working closely with the functional COE and extended data stakeholders
- Collaborate with the Data Management organization to support enforcement of data quality standards and processes for ERP deployments, projects or enhancements
- Manage and direct tasks related to analysis, design and implementation of technical data migration solutions
- Work with extended data team to create design documents and estimates for enhancement efforts
- Drive data related development, testing and deployment deliverables
- Partner with other data leads / developers and support project planning, technical design, development and solution delivery functions
- Identify opportunities in business processes, system capabilities and delivery methodologies for continuous improvement as applicable
- Works autonomously as a data lead on a diverse range of tasks and is relied upon to coach/educate others
- Provide mentorship and change management leadership for introduction of new data tools and capabilities
- Data migration or integration experience as a technical data systems analyst, such as LSMW, LTMC etc.
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.
