Technical Data Analyst

We are seeking a highly analytical, detail-oriented, and proactive Technical Data Analyst to support enterprise data quality, migration, and integration initiatives. The ideal candidate will have experience with data migration planning and execution, including assessing, profiling, cleansing, validating, and transforming large datasets, while also developing reporting and integration solutions to support multiple business and technical teams. Required Qualifications 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. Demonstrated strength in verbal and written communication tailored for technical, cross-functional, and executive audiences. 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 in creating automated validation routines to compare source and target datasets and identify data quality issues. Strong knowledge of relational databases and data modeling concepts. Reporting & Analytics Experience developing interactive dashboards and reports using Tableau and/or Microsoft Power BI. Ability to analyze data quality metrics and communicate findings through executive dashboards and technical reports. Experience creating KPIs and visualizations to monitor data quality, migration progress, and operational performance. Integration & APIs Experience working with MuleSoft for API-led integrations and enterprise data exchange. Understanding of RESTful APIs, JSON, XML, and enterprise integration patterns. Experience supporting API testing, validation, and troubleshooting. Familiarity with integrating cloud applications, including CRM platforms such as Salesforce, using APIs. Preferred Qualifications Proactive, self-directed, and comfortable identifying gaps, risks, and improvement opportunities in data migration, reporting, and integration workstreams. Experience developing, reviewing, and maintaining data migration plans for enterprise data migration initiatives Experience supporting Salesforce CRM implementations, migrations, or data quality initiatives. Experience with ETL/data integration tools and enterprise data migration projects. Familiarity with data quality platforms such as Cloudingo, DemandTools, Informatica, Talend, or similar solutions. Experience working in Agile delivery environments and using tools to support implementations such as Jira. Knowledge of healthcare, provider, payer, or regulated industry data. Key Responsibilities Support data migration planning activities, including reviewing migration artifacts, documenting validation needs, tracking reconciliation activities, and identifying execution-readiness considerations. Analyze source data from multiple software systems and understand underlying data models Perform data profiling and quality assessments to identify gaps, inconsistencies, duplicates, and validation issues. Design and execute data cleansing and transformation activities to improve data quality. Develop scripts and automated processes for data validation, cleansing, reconciliation, and exception reporting. Create and maintain data mapping documents, conversion templates, and validation artifacts. Collaborate with business stakeholders, solution architects, developers, and data stewards to resolve data quality issues. Translate complex data quality findings into clear technical documentation, business recommendations, and executive-level summaries. Build Tableau and Power BI dashboards to monitor data quality, migration readiness, and business metrics. Support API integrations and data exchange using MuleSoft and REST APIs. Validate that integrations and data exchanges satisfy documented business requirements, data quality expectations, and operational needs. Document findings, recommendations, and technical specifications to support ongoing data governance and continuous improvement. #J-18808-Ljbffr