Data Warehouse Analyst, C. Advanced - Hybrid Tallahassee, FL

Novalink Solutions • Tallahassee, FL

2d • Hybrid

About The Position

The resource will support cloud -based data integration initiatives by translating business needs into system and integration requirements. They will design, develop, and manage scalable ETL/ELT pipelines using Informatica Intelligent Data Management Cloud (IDMC) capabilities—including cloud data integration—while ensuring reliable delivery of accurate, consistent, and governed data across diverse platforms such as relational databases and mainframe flat files.
They will collaborate with business stakeholders to document reporting and analytics requirements and validate that integrated data supports decision -making needs. The role also involves supporting real -time and batch data flows, conducting data modeling for cloud data warehousing, and optimizing performance and quality enforcement through modular pipeline design and orchestration. Familiarity with scripting languages and ongoing evolution in the cloud ecosystem is essential for maintaining agility and technical excellence.
Additionally, the resource will be responsible for converting legacy mainframe (JCL, COOLGEN, COBOL, FOCUS and WebFOCUS) code into modern, IDMC data integration workflows. This includes working closely with business analysts and stakeholders in analyzing existing logic, reports, and data flows to identify transformation requirements; rearchitecting them using IDMC tools; and implementing equivalent functionality within cloud -native environments. Supporting this function requires expertise in legacy data retrieval methods, report logic translation, and integration design that aligns with current best practices. Clear documentation, structured testing, and close collaboration with business and technical teams will be essential to ensure fidelity and completeness in the conversion process.

Requirements

• Bachelor’s Degree in Computer Science, Information Systems, or other related field. Or equivalent work experience.
• A minimum of 7 years of IT work experience utilizing data management tools, business intelligence tools, and data warehousing.
• 7 Years experience in Data Warehousing and Data Integration
• 4 Years experience designing, developing, and supporting ETL/ELT pipelines using Informatica Intelligent Data Management Cloud (IDMC) and Informatica on -prem solutions
• Extensive knowledge of data warehouse and data mart concepts
• Ability to model transactional data for data warehousing usage
• Knowledge of and skill in Snowflake cloud data warehouse functionality
• Extensive knowledge of and expert skill in use of Informatica PowerCenter Cloud Platform
• Knowledge of and skill in Informatica Data Quality functionality
• Knowledge of and skill in Informatica Data Catalog functionality
• Knowledge of and skill in Power BI, Tableau, and other reporting tools functionality
• Knowledge of and skill in relational database platforms including DB2, SQL Server, and Oracle
• Communication: Have the ability to clearly convey information, in both written and verbal formats, to individuals or groups in a wide variety of settings (i.e.; project team meetings, management presentations, etc.). Must have the ability to effectively listen and process information provided by others.
• Customer Service: Works well with clients and customers (i.e.; business office, public, or other agencies). Able to assess the needs of the customer, provide information or assistance to satisfy expectations or resolve a problem.
• Decision Making: Makes sound, well -informed, and objective decisions.
• Flexibility: Is open to change, new processes (or process improvement), and new information. Has the ability to adapt in response to new information, changing conditions, or unexpected obstacles. Ability to receive and give constructive criticism, and maintain effective work relationships with others.
• Interpersonal: Shows friendliness, courtesy, understanding, and politeness to others.
• Leadership: Motivates, encourages, and challenges others. Is able to adapt leadership styles in a variety of situations.
• Problem Solving: Able to identify, evaluate, and use sound judgement to generate and evaluate alternative actions, and make recommendations as accordingly.
• Team Building: Encourages, inspires, and guides others toward accomplishing the common goal.
• Quality Assurance: Knowledge of the ideologies, techniques and tools for quality assurance and control. The ability to put the ideologies, techniques, and tools into practice.

Responsibilities

• Prototypes, builds, and tests extraction, transformation, and load (ETL or ELT) jobs
• Analyzes transactional data stores and develops data warehouse models to optimize the warehouse data stores for reporting and analytics
• Creates designs, diagrams, and documents to support data integration and data warehouse solutions
• Ensures data warehouse metadata is collected and maintained
• Coaches and mentors peers in data warehousing concepts and the use of the tools utilized to analyze data, design the warehouse models, and populate the warehouse.
• Assists with the development and maintenance of methods and practices documentation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees