Data Workstream Functional Analyst (Local to MN)

Summary of Responsibilities:

Critical Responsibilities include:

• Act as a liaison between business stakeholders and technical teams to gather and interpret business requirements, ensuring that there is a clear understanding on both sides.
• Develop comprehensive functional design documents based on business requirements. These documents will serve as blueprints for data engineers to implement data migration processes accurately.
• Work closely with business users to analyze requirements, validate them, and translate them into functional specifications.
• Create detailed process flow diagrams and data mapping documentation to outline the end-to-end data migration processes.
• Partner with data engineers to ensure they have a thorough understanding of the functional requirements and assist them in translating these into technical solutions.
• Conduct testing and validation to ensure that the functional design documents are correctly implemented and meet the business requirements.
• Provide ongoing support during different phases of the data migration project, including planning, execution, and post-implementation.
• Identify and recommend improvements to existing processes and documentation practices to enhance the efficiency and effectiveness of the data migration team.
• Work closely with various teams, including IT, marketing, finance, and product development, to understand their data needs and provide analytical support.

Skill Set Requirements:

• Bachelor’s degree in Information Technology, Computer Science, Business Administration, or a related field.
• 5+ years’ experience working with master data management, data migration, and data transformation activities within medium to large scale initiatives.” 
• Strong background in documenting business requirements and creating functional design documents.
• Familiarity with data migration concepts and methodologies.
• Proficiency in using data mapping tools and documentation software.
• Basic understanding of data engineering principles and database technologies.
• Proven experience in Data Acquisition / Source to Target mapping and Data Cleansing / Quality, with a keen eye for detail and accuracy.
• Ability to profile data to identify upstream and downstream impacts.
• Experience working in a hybrid delivery model that spans time zones.
• Ability to work effectively in a cross-functional team environment. Strong communication skills to convey technical information to non-technical stakeholders.