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# Technical Data Analyst

- **Company:** KYYBA, Inc
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Information Systems, Data Cleansing, Data Conversion, Data Deduplication, Data Governance, Data Mapping, Data Profiling, Relational Databases, Information Lifecycle Management, Python (Programming Language), Windows PowerShell, SQL Databases, Technical Data Management Systems, Enterprise Data Management, Scripting, Information Technology, Data Analytics, Data Management
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/technical-data-analyst-boston-ma--0c50c229-d666-4658-94d4-b3f6b79f98b0

## About the Role

Data Analysis, Data Analysis, Information Technology & Information Systems, Computer Science, Data Quality, Data Management, Data Profiling, Python Programming/Scripting Language, Reconciliation, Scripting (Scripting Languages), * Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field (or equivalent experience).

 * 5+ years of experience in data analysis, data quality, or data management within enterprise environments.
 * Strong understanding of data governance, data quality principles, and data lifecycle management.

Technical Skills

 * Experience performing data profiling to assess completeness, accuracy, consistency, uniqueness, and validity of enterprise data.
 * Proven ability to execute data cleansing, standardization, deduplication, and validation activities using established data quality methodologies.
 * Experience developing and maintaining data mapping documents, data conversion templates, validation templates, reconciliation reports, and data quality scorecards.
 * Proficiency in writing SQL and scripting (e.g., Python, PowerShell, or similar) to automate data cleansing, transformation, validation, and reconciliation processes.
 * Experience creating automated validation routines to compare source and target datasets and identify data quality issues.
 * Strong knowledge of relational databases and data modeling concepts.