Data Governance Data Analyst

3Core Systems, Inc; Easton (Northampton County); Hybrid; USD 70,000 - 110,000; Full time

Job summary

3Core Systems, Inc. in Easton, PA is seeking a Data Governance Data Analyst for a 6-month contract-to-hire hybrid role.

You will work with data across enterprise systems, perform SQL-based data analysis, trace data lineage, and support data quality initiatives with stakeholders. The ideal candidate has 4–6 years of experience, strong SQL, Snowflake knowledge, and experience with data modeling and ETL pipelines.

Qualifications

• Strong SQL skills and ability to investigate complex datasets.
• Experience documenting data lineage and data quality.
• Familiarity with enterprise data warehouses and reporting environments.
• Experience with ERP, customer, product, inventory, or manufacturing data.

Responsibilities

• Write and execute SQL queries to profile and reconcile enterprise datasets.
• Investigate data discrepancies across systems and trace data lineage.
• Collaborate with Data Engineering and BI teams to resolve data issues.
• Document data relationships, mappings, and quality recommendations.
• Support data governance initiatives and data quality standards.
• Engage with business users to gather requirements and provide insights.

Skills

SQL

Data analysis

Data governance

Data modeling

Python

Communication

ETL/ELT

Tools

Snowflake

Job description

Easton, United States | Posted on 11/04/2026

Location: Easton, PA (Hybrid – 2 Days a WeekOnsite)

Duration: 6 Months Contract-to-Hire

Experience: Ideally 4–6 years

WORKARRANGEMENT

• Initialonboarding : 2 days per week onsite inEaston, PA during the first few months.
• Afterramp-up : Approximately 2 days permonth onsite once fully trained and comfortable in the role.
• Candidatesmust be local to Easton, PA, or within reasonable commuting distance.
• Clientis seeking a detail-oriented, curious, and analytical Data Governance DataAnalyst to support the quality, consistency, and understanding ofenterprise data across multiple business systems.
• Thisis a hands-on Data Analyst position , not a traditional BusinessAnalyst role. The ideal candidate will have strong SQL skills, experienceinvestigating complex datasets, and an understanding of how data moves throughenterprise systems, data warehouses, and reporting environments.
• Thisindividual will work closely with business stakeholders, Data Engineering, andBI teams to trace data lineage, investigate discrepancies, document datarelationships, and improve overall data quality and transparency.
• Weare looking for someone who enjoys digging into data, asking questions,researching problems, and independently identifying solutions.

KEYRESPONSIBILITIES

Data Analysis& SQL:

• Writeand execute SQL queries to analyze, profile, validate, and reconcile enterprisedatasets.
• Investigatedata discrepancies, inconsistencies, and quality issues across multiplesystems.
• UseSQL joins, filters, and aggregations to understand relationships betweendatasets.
• Identifyroot causes of data issues and collaborate with technical teams to supportresolution.
• Tracedata from source systems through ETL/ELT pipelines, enterprise data warehouses,and reporting platforms.
• Analyzeand document source-to-target mappings, data transformations, and dependencies.
• Understandhow data is structured, modeled, transformed, and consumed across enterprisesystems.
• Identifygaps in data definitions, mappings, and documentation.

Data Governance &Quality:

• Supportdata governance initiatives focused on improving data accuracy, consistency,and reliability.
• Helpestablish and document business definitions, data quality standards, andauthoritative data sources.
• Assistwith data profiling, reconciliation, and validation activities.
• Supportenterprise data management initiatives, including master and reference datawhere applicable.

Business &Technical Collaboration:

• Partnerwith business users to understand how data is created, maintained, andutilized.
• Askthoughtful questions to clarify business processes, data definitions, andreporting requirements.
• Collaboratewith Data Engineering, BI, and other technical teams to investigatedata-related issues.
• Documentfindings, requirements, data relationships, and recommendations clearly.
• Experienceworking with complex enterprise datasets .
• Strongcommunication skills and experience collaborating with business users andtechnical teams.
• Excellentanalytical thinking, attention to detail, documentation skills, andproblem-solving abilities.
• Experiencewith Snowflake or similar cloud datawarehouse platforms.
• Understandingof data modeling, dimensional modeling, data relationships, and data warehousearchitecture.
• Experienceworking with ERP, customer, product, inventory, supply chain, or manufacturingdata.
• Familiaritywith metadata management, data catalogs, data stewardship, and data qualityframeworks.
• BasicPython experience for data analysis or automation.

IDEALCANDIDATE PROFILE

• Theideal candidate is a technically capable Data Analyst who enjoys researchingcomplex data problems and understanding how information flows across enterprisesystems.
• Theyare naturally curious, proactive, and comfortable working independently withlarge datasets while also collaborating directly with end users and technicalstakeholders.
• Successfulcandidates should be able to explain not only how to query data using SQL, butalso how to investigate where data originates, how it is transformed, and whydiscrepancies may occur between systems.
• Thisrole is best suited for someone who enjoys hands-on data investigation rather than primarily developing dashboards, managing projects, or writinggovernance policies.

INTERVIEWPROCESS

CANDIDATESSHOULD BE PREPARED TO DISCUSS

• SQLquerying, table joins, and practical data analysis.
• Relationaldatabase fundamentals, including primary and foreign keys.
• Understandingof how data moves through enterprise systems and data warehouses.