Description

You will own data quality assessments, cleansing, and integration workflows for enterprise systems.

This role is hybrid.

Responsibilities

• Perform data profiling to assess completeness, accuracy, consistency, and validity of enterprise data.
• Design and execute data cleansing, standardization, and deduplication activities using established methodologies.
• Develop scripts and automated processes for data validation, reconciliation, and exception reporting.
• Build interactive dashboards in Tableau and Microsoft Power BI to monitor data quality metrics and migration progress.
• Support API-led integrations using MuleSoft, including testing, validation, and troubleshooting of RESTful APIs.

Required Skills

• 5+ years of experience in data analysis, data quality, or data management within enterprise environments.
• Proficiency in writing SQL and scripting (Python, PowerShell) to automate data transformation and validation.
• Strong knowledge of relational databases, data modeling concepts, and data lifecycle management.
• Experience creating data mapping documents, conversion templates, and validation artifacts.
• Ability to analyze data quality metrics and communicate findings through executive dashboards.
• Understanding of RESTful APIs, JSON, XML, and enterprise integration patterns.
• Experience working with MuleSoft for enterprise data exchange.

Preferred Skills

• Experience supporting Salesforce CRM implementations, migrations, or data quality initiatives.
• Familiarity with data quality platforms such as Cloudingo, DemandTools, Informatica, or Talend.
• Knowledge of healthcare, provider, or regulated industry data.

Key Skills

Education

Bachelor's degree