MUST BE WILLING TO WORK ONSITE - Local candidates only
We are seeking a Data Analyst (Technical) to support a knowledge management initiative. This project involves capturing critical knowledge from subject matter experts eligible for retirement and documenting it for the creation of a Searchable Logic Library. The Data Analyst will analyze and document data structures, processes, and system details across multiple applications, with a focus on understanding and mapping application-level data.
Technical Data Analyst
SQL
Hogan (mainframe)
Metadata
Knowledge management
Financial or IT
Collaborate with Business Analysts and Technical Writers to extract and document data-related knowledge from subject matter experts (SMEs).
Analyze data structures and flows within applications, utilizing advanced SQL skills to query databases, extract insights, and provide detailed documentation.
Map and document data structures, relationships, and dependencies at the application level, focusing on Hogan mainframe systems and other key applications.
Apply data management principles to ensure accurate and comprehensive documentation, following best practices for data governance and consistency.
Organize and structure the data documentation in a repository, ensuring it is easily accessible and searchable for future use.
Work with cross-functional teams to align data documentation with broader project goals, ensuring consistency and accuracy.
Participate in knowledge-gathering sessions, leveraging SMEs to validate the data structures and supporting documentation.
Support ongoing updates and validation of documentation throughout the project lifecycle.
Required
Proven experience (3+ years) as a Data Analyst or Systems Analyst, preferably in IT or financial services sectors.
Advanced SQL skills to query complex databases, analyze data structures, and support knowledge capture.
Knowledge of Data Management principles and best practices for documentation, data governance, and consistency.
Experience with mainframe systems, particularly Hogan systems, is a strong plus but not required.
Ability to collaborate in small teams with Business Analysts and Technical Writers to ensure comprehensive documentation of data systems.
Strong communication skills, with the ability to explain data structures and technical details clearly to both technical and non-technical team members.
Familiarity with metadata creation and management.
Desired
Experience working in large enterprises, particularly in the financial services or banking industry.
Experience with knowledge management or documentation projects, specifically focused on capturing and documenting data structures.
Knowledge of methodologies such as Define, Collect, Organize, and Validate/Iterate for knowledge management.
The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.
Responsibilities
Understand the day-to-day issues that our business faces, which can be better understood with data
Compile and analyze data related to business' issues
Develop clear visualizations to convey complicated data in a straightforward fashion
Qualifications
Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience