Hybrid Data Quality & Analytics Analyst

THE PANTHER GROUP; Boston (MA); Hybrid; USD 82,656 - 88,166; Full time

Job summary

The Panther Group in Boston, MA is seeking a Technical Data Analyst to support enterprise data quality, migration, and integration initiatives on a hybrid schedule. The role requires experience profiling, cleansing, validating, and transforming large datasets, with development of reporting and integration solutions for business and technical teams.

Strong SQL, Python, and scripting skills are essential. Responsibilities include data profiling, cleansing, transformation, dashboard development in

Qualifications

• 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.
• Experience developing and maintaining data mapping documents, data conversion templates, validation templates, reconciliation reports, and data quality scorecards.

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.

Skills

Data profiling

Data cleansing

SQL

Python

PowerShell

Data governance

Data quality

Education

Bachelors degree in CS/IS/Analytics/Engineering

Tools

Tableau

Power BI

MuleSoft

Salesforce APIs

Job description

The Panther Group in Boston, MA is seeking a Technical Data Analyst to support enterprise data quality, migration, and integration initiatives on a hybrid schedule. The role requires experience profiling, cleansing, validating, and transforming large datasets, with development of reporting and integration solutions for business and technical teams.

Strong SQL, Python, and scripting skills are essential. Responsibilities include data profiling, cleansing, transformation, dashboard development in