Description

You own data quality assessments, cleansing, and validation across enterprise environments. You design automated scripts for data reconciliation and build dashboards to monitor migration and operational metrics.

This role is hybrid.

Responsibilities

• Perform data profiling to assess completeness, accuracy, consistency, and validity of enterprise data.
• Execute data cleansing, standardization, deduplication, and validation using established methodologies.
• Develop scripts in SQL and Python/PowerShell to automate data transformation and reconciliation processes.
• Create and maintain data mapping documents, conversion templates, and validation artifacts.
• Build interactive Tableau and Power BI dashboards to monitor data quality KPIs and migration progress.

Required Skills

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
• 5+ years of experience in data analysis, data quality, or data management within enterprise settings.
• Proficiency in SQL and scripting (Python, PowerShell) for automation.
• Experience with relational databases and data modeling concepts.
• Proficiency in Tableau or Microsoft Power BI for reporting and visualization.
• Knowledge of data governance, lifecycle management, and quality principles.
• Experience supporting API integrations using MuleSoft, RESTful APIs, JSON, and XML.

Preferred Skills

• Experience with Salesforce CRM implementations or data quality tools like Cloudingo or DemandTools.
• Familiarity with ETL tools such as Informatica or Talend.
• Experience in Agile delivery environments or regulated industries (healthcare, payer, provider).

Key Skills

Education

Bachelor's degree