Data Governance Analyst

3Core Systems, Inc

. Write and execute SQL queries to analyze, profile, validate, and reconcile enterprise datasets .

Posted 11/4/2026contractEaston • Pennsylvania • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong SQL skills for data analysis, profiling, and validation, with a solid understanding of relational database concepts and data governance initiatives. Capable of collaborating with technical teams to resolve data discrepancies and improve data quality across enterprise systems.

Highest-signal resume keywords

SQL Query WritingData Quality AnalysisETL/ELT Pipeline UnderstandingData Governance InitiativesData Mapping and Lineage

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData AnalysisData ProfilingData ReconciliationData ManagementData StructuresData ModelingDimensional ModelingProblem-SolvingBasic Python

Soft Skills

Analytical ThinkingAttention to DetailStrong CommunicationCollaboration

Tools & Technologies

SnowflakePower BIQlik AnalyticsERP Systems

Industry Keywords

Master Data ManagementData GovernanceData Quality FrameworksMetadata ManagementData Stewardship

Tech Stack

Tools & technologies

CloudERPETLPythonSnowflakeSQL

About the role

Key responsibilities & impact

Write and execute SQL queries to analyze, profile, validate, and reconcile enterprise datasets
Investigate data discrepancies, inconsistencies, and quality issues across multiple systems
Use SQL joins, filters, and aggregations to understand relationships between datasets
Identify root causes of data issues and collaborate with technical teams to support resolution
Trace data from source systems through ETL/ELT pipelines, enterprise data warehouses, and reporting platforms
Analyze and document source-to-target mappings, data transformations, and dependencies
Understand how data is structured, modeled, transformed, and consumed across enterprise systems
Identify gaps in data definitions, mappings, and documentation
Support data governance initiatives focused on improving data accuracy, consistency, and reliability
Help establish and document business definitions, data quality standards, and authoritative data sources
Assist with data profiling, reconciliation, and validation activities
Support enterprise data management initiatives, including master and reference data where applicable
Partner with business users to understand how data is created, maintained, and utilized
Clarify business processes, data definitions, and reporting requirements
Collaborate with Data Engineering, BI, and other technical teams to investigate data-related issues
Document findings, requirements, data relationships, and recommendations clearly

Requirements

What you’ll need

Ideally 4–6 years of experience in data analysis, data quality, data management, or a related discipline
Strong hands-on SQL skills, including writing queries, joining tables, filtering data, and investigating discrepancies
Solid understanding of relational database concepts, including primary keys, foreign keys, table relationships, and data structures
Experience with data mapping, data lineage, profiling, reconciliation, or data quality analysis
Understanding of how data moves through ETL/ELT pipelines and enterprise data warehouses
Experience working with complex enterprise datasets
Ability to independently investigate data issues, identify patterns, and determine root causes
Strong communication skills and experience collaborating with business users and technical teams
Excellent analytical thinking, attention to detail, documentation skills, and problem-solving abilities
Experience with Snowflake or similar cloud data warehouse platforms preferred
Experience with Power BI or Qlik Analytics preferred
Familiarity with Master Data Management (MDM) and enterprise data governance concepts preferred
Understanding of data modeling, dimensional modeling, data relationships, and data warehouse architecture preferred
Experience working with ERP, customer, product, inventory, supply chain, or manufacturing data preferred
Familiarity with metadata management, data catalogs, data stewardship, and data quality frameworks preferred
Basic Python experience for data analysis or automation preferred
Candidates must be local to Easton, PA, or within reasonable commuting distance

Benefits

Comp & perks

Contract-to-hire opportunity
Hybrid work arrangement with reduced onsite frequency after ramp-up