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Title: Sr. Data Analyst
Location: Albany, NY – REMOTE (Only EST based candidates that can drive in as needed)
Duration: 30 months + (Potential for extension)
Client: New York State Office of Information Technology Services (ITS)
Top Desired Skills: Data analysis, Integrated Eligibility System (IES), SQL
Job Description:
We are looking for a Sr. Data Analyst with at least 7 years of experience. *Must have strong experience with Integrated Eligibility System (IES).
Job Summary:
**We are seeking a Data Analyst Specialist to support the New York State Integrated Eligibility System (IES) by analyzing, transforming, and validating data to support system modernization efforts.
The ideal candidate will collaborate with business and technical teams to perform data analysis, develop data mappings, support ETL processes, and ensure the accuracy, quality, and integrity of data throughout the migration lifecycle.
Desired Experience:
1. Level III- More than seven (7) years of experience working on complex projects with 2 or more years in a leadership role as a Specialist
2. Minimum of seven years of experience supporting data conversion projects, including source system metadata analysis, source-to-target data mapping, data profiling and cleansing, To-Be data requirements, data synchronization/bridging, and data conversion quality assurance testing.
3. Minimum of two years of experience working in an Integrated Eligibility System (IES) program within the Fair Hearings and/or Data Management domain in a Health and Human Services setting.
4. More than five years of experience with data quality, data profiling, data cleansing, standardization, and SQL development using RDBMS tools (i.e., Oracle) and data quality tools (i.e., Informatica Data Quality).
5. Three or more years’ experience analyzing data and business processes to identify data quality issues and support data cleansing, transformation, and migration activities.
Key Responsibilities:
- Working with Subject Matter Experts, Business Analysts, and Development Teams to understand the data requirements and attributes set for project
- Performing As-Is system and data analysis and data documentation
- Performing system and data analysis to perform Extract Transform & Load (ETL) and related activities including developing strategies for extracting, transforming, and loading data from the As-Is system into To-Be system
- Developing As-Is system to To-Be system data mapping including analyzing and interpreting all complex data on the source and target systems and providing resolutions to all data issues to validate all requirements
- Developing and testing query solutions on databases like Oracle, SQL Server Developing and testing UNIX Shell Scripting
- Performance tuning and optimization of queries and solving migration issues, and identifying errors during data loads and transformations
- Documenting IES To-Be Target Model data requirements for IES system based on business requirements
- Defining and documenting data requirements, data profiling, data cleansing, and data transformation rules
- Coordinating and facilitating As-Is data profiling and data cleansing activities with business users
- Interpreting data profiling results and summarizing, analyzing, and preparing reports and findings in a clear and concise manner
- Identifying optimal approaches for resolving data quality or consistency issues to achieve goals
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