Description

• Minimum of five (5) years of source-to-target data mapping experience in mixed Mainframe and Relational Database environments.
• Experience creating data dictionary documentation with business terms, valid values, and definitions.
• Experience converting/migrating VSAM data to relational/dimensional SQL distributed databases.
• Minimum of three (3) years of recent experience developing applications using IBM DataStage ETL.
• Experience extracting field references and calculated data from COBOL programs.
• Experience with BMC Control-M workload automation software.
• Experience with GIT version control software.
• Minimum of three (3) years of recent experience with Pension Administration systems.

2. Technical Ability – Mandatory

• Strong SQL knowledge working with complex queries and stored procedures.
• Proficiency in SSRS report development.
• Strong analytical skills demonstrated by the ability to receive and analyze requirements and propose suitable solutions that adhere to the team's methodology.
• Ability to work in multiple environments: IBM Mainframe, Windows Server, and SQL Server.
• Proficiency in mainframe applications encompassing COBOL, CICS, and DB2.
• Understanding of data structures and their relationship to ETL applications.
• Ability to develop complex SQL data validations based on STTMs and target Data Models.
• Excellent analytical, problem-solving, and information-gathering skills, along with fundamental troubleshooting abilities.

3. Assumptions Regarding Consultant Tasks and Deliverables

The Senior Data Analyst shall provide the Client's Data Management team with technical expertise for the completion of Data Profiling/Cleansing, Conversion/Migration, and Validation efforts as part of the Legacy Replacement initiative, as well as ongoing process improvement programs.

The following deliverables shall apply:

• Participate in identification, inventory, and classification of critical data.
• Work with data SMEs to document data quality rules and definitions.
• Actively participate in optimization and performance tuning of existing ETL and SQL processes.
• Extract business rules from existing legacy code and create Source-to-Target mappings.
• Transform business rules and data quality rules into ETL and/or SQL technical specifications.
• Develop complex SQL data validations based on STTMs and target Data Models.
• Provide technical and analytical support to the Client's data integrity and quality initiatives.
• Collaborate with SMEs and technical leads in identifying and addressing data quality gaps.
• Work with IT partners to remediate identified gaps using both manual and automated solutions.
• Support processes that proactively detect, correct, and prevent invalid data values.
• Handle defects and provide problem resolution.
• Experience extracting business rules from existing legacy code.
• Experience with Data Quality/Profiling tools.
• Experience with Data Warehouses/Data Marts.
• Experience with SQL Server Reporting Services (SSRS).

Key Skills

Education

Bachelor's degree