Data Management Specialist I

Job Description

As a Data Management Specialist I here at Honeywell, you will play a crucial role in managing and optimizing our data resources. Your expertise in data management processes, data quality, and data governance will be essential in ensuring the accuracy, reliability, and strategic utilization of our data assets. You will have the opportunity to work with cross-functional teams, contributing to data-driven decision-making and operational excellence.

In this role, you will impact our data management strategies, fostering a culture of excellence, innovation, and operational efficiency. By ensuring data quality and governance, you will help drive informed decision-making and support the overall success of our organization. Join us in this vital position and be a key player in harnessing data as a transformative resource.

Responsibilities

Key Responsibilities

• Manage and organize data to ensure accuracy, integrity, and security
• Develop and implement data management strategies and best practices
• Collaborate with crossfunctional teams to understand data requirements and provide data solutions
• Perform data analysis and validation to identify and resolve data quality issues
• Maintain data documentation and data dictionaries
• Monitor and optimize data processes and workflows
• Stay updated on industry trends and advancements in data management

Qualifications

YOU MUST HAVE

• 0+ years of experience in data management or a related role.
• Proficiency in data management tools and technologies (ETL, SQL, data integration).
• Understanding of database management systems and data governance principles.

WE VALUE

• Bachelor's degree in Computer Science, Data Management, or a related field.
• Strong analytical and problem-solving skills.
• Experience with data quality and data cleansing processes.
• Familiarity with modern data management technologies and cloud-based solutions.
• Knowledge of data governance, security, and compliance.

Key skills/competency

• Data Management
• Data Quality
• Data Governance
• SQL
• ETL
• Data Integration
• Database Management Systems
• Data Analysis
• Problem Solving
• Cloud Solutions