Lead Data Analyst
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Job description
We are seeking a Lead Data Analyst to join a team of qualified, diverse professionals. The ideal candidate will lead critical data analysis activities supporting large-scale migration efforts. This role is key in ensuring data integrity and accuracy throughout the migration lifecycle, providing analytical oversight, validation expertise, and comprehensive support to major modernization initiatives for a federal healthcare customer., * Leading data analysis activities for migration planning, including source-to-target data mapping, data profiling, and gap analysis between legacy systems and the Facets platform.
- Defining data quality metrics, establishing reconciliation criteria, and validating migration results against business and technical requirements.
- Conducting detailed data assessments to identify inconsistencies, anomalies, and data-related risks across multiple legacy environments.
- Developing and maintaining data mapping specifications, profiling reports, data dictionaries, lineage documentation, and other artifacts required to support the Data Migration Plan.
- Ensuring data integrity throughout the migration lifecycle by collaborating closely with data architects, ETL/ELT developers, business analysts, test teams, and system integrators.
- Providing analytical support for the Data Migration Plan, including dependency analysis, sequencing recommendations, and acceptance criteria definition.
- Leading stakeholder working sessions to refine data requirements, address data issues, and support business rules interpretation.
- Supporting test planning through the creation of data validation rules, test scenarios, defect research, and reconciliation processes.
- Monitoring migration execution results, performing reconciliation activities, and coordinating issue triage and resolution.
- Ensuring adherence to data governance, security, privacy, and quality standards consistent with enterprise and project policies.
- Ability to obtain and maintain a Public Trust clearance.
Requirements
- Minimum of 8 years of experience in data analysis, data profiling, or data management in large, complex enterprise environments with a BS/BA degree.
- Alternatively, a minimum of 6 years of experience with an MS/MA degree, or a minimum of 3 years with a PhD.
- Demonstrated experience supporting large-scale data migration, legacy modernization, or COTS platform integration initiatives.
- Must be eligible to obtain and maintain a Public Trust clearance.
Technical Skills:
- Proficiency with SQL for data discovery, validation, and reconciliation.
- Experience developing data quality rules, reconciliation approaches, and validation criteria.
- A strong understanding of data models, metadata, data lineage, and the impacts of ETL/ELT transformations.
- Experience producing data migration documentation such as mapping specifications, profiling reports, and validation results.
- Ability to communicate effectively with technical and non-technical stakeholders across multiple teams., * Experience with healthcare payer platforms, especially Facets.
- Experience with cloud data platforms or data integration tools within AWS, Azure, or Google Cloud Platform environments.
- Knowledge of enterprise data governance tools (e.g., Collibra, Informatica, Alation).
- Experience supporting structured SDLC, Agile, or hybrid project delivery methodologies.
- Familiarity with federal healthcare programs, specific federal agency environments, or regulatory requirements such as HIPAA.
- Relevant data or analytics certifications.
- Active or prior Public Trust or other security clearance.
About the company
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
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