Master Data Management Analyst - Remote

About the position

The Master Data Management (MDM) Analyst supports enterprise data integrity by
ensuring the accuracy, consistency, and reliability of critical business data
across systems. This role serves as a key contributor to maintaining a “single
source of truth” by performing data validation, cleansing, and standardization
activities.

The MDM Analyst partners with Finance, IT, and operational stakeholders to
resolve data discrepancies, support reporting needs, and uphold data governance
standards. This position plays an important role in supporting system
integrations, data migrations, and ongoing data quality initiatives within a
complex, multi-system environment.

The MDM Analyst supports the organization's data-driven decision-making by
collecting, analyzing, and interpreting data to identify trends, patterns, and
actionable insights. The MDM Analyst collaborates with stakeholders across
departments to develop reports, dashboards, and visualizations, while ensuring
data accuracy, integrity, and consistency. This role contributes to data
governance and data management efforts by supporting data quality initiatives,
maintaining reliable datasets, and assisting in the development of reporting and
analytics solutions that improve operational efficiency and business
performance.

Responsibilities
• Gathers, cleanses, and prepares data from multiple sources, ensuring
accuracy, consistency, and completeness of datasets.
• Writes and executes SQL queries or utilizes other tools to extract,
transform, and analyze data for reporting and operational needs.
• Develops and maintains reports, dashboards, and data visualizations to
communicate key metrics, trends, and performance indicators.
• Conducts descriptive and exploratory analysis to identify trends, anomalies,
and opportunities for improvement.
• Collaborates with stakeholders to understand business needs, define data
requirements, and deliver reporting and analytical solutions.
• Ensures data accuracy and integrity by identifying data quality issues,
performing validation and reconciliation activities, and resolvingdiscrepancies with appropriate stakeholders.
• Supports data governance and data management initiatives, including
maintaining data standards, documentation, and contributing to consistent andreliable data across systems.
• Assists in data-related projects such as system implementations, data
migrations, reporting enhancements, and access management activities.
• Communicates findings and insights through clear documentation,
visualizations, and presentations tailored to technical and non-technicalaudiences.
• Manages multiple tasks and deadlines while maintaining attention to detail
and quality of work.
• Performs other duties as assigned.
• Maintains regular and reliable attendance.
• Complies with all policies and standards.

Requirements
• Bachelor's Degree in Data Science, Statistics, Computer Science, Information
Systems, Business, or a related field required
• 2-4 years of experience in data analytics, reporting, data governance, or
related functions required
• Experience working with large or complex datasets, including data extraction,
validation, and transformation using SQL or similar tools preferred
• Experience working in a healthcare environment or with enterprise systems
(e.g., Oracle, ERP, EHR, or similar platforms) preferred
• Experience supporting data quality, data governance, or data management
initiatives, including data validation, cleansing, and standardizationprocesses preferred
• Experience supporting master data management (MDM) processes, including data
standardization, governance, and lifecycle management preferred
• Experience supporting data integrity initiatives across multiple systems or
business units preferred
• Experience with data validation, reconciliation, and root cause analysis in a
multi-system environment preferred
• Proficiency in SQL and data visualization/reporting tools (e.g., Excel, Power
BI, Tableau, or similar platforms).
• Strong analytical and problem-solving skills with the ability to interpret
data and identify meaningful insights.
• Understanding of data governance principles, data quality management, and
data validation techniques.
• Ability to identify data discrepancies, perform root cause analysis, and
support data standardization efforts.
• Strong attention to detail with a focus on data accuracy and integrity.
• Effective communication skills, with the ability to translate technical
findings into clear, actionable information.
• Ability to manage multiple priorities and work both independently and
collaboratively in a team environment.
• Familiarity with data management processes, reporting frameworks, and
enterprise data environments preferred.

Nice-to-haves
• Relevant certifications in data management, analytics, or process improvement
(e.g., CDMP, Six Sigma, CSCP) preferred

Benefits
• Competitive compensation
• Paid time off for vacations, holidays, and illness
• Comprehensive health insurance (medical, dental, vision, prescription)
• 401(k) retirement savings plan
• Education support and student loan assistance
• Life and disability insurance
• Flexible spending account