Description

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. 
  
   

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. 
  
   

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

 

• 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.
• Knowledge of healthcare, provider, payer, or regulated industry data is preferred. 
  
   

Key Responsibilities

 

• 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.
• 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

Key Skills

Education

Bachelor's degree