10280

3Core Systems; Easton (Northampton County); Híbrido; USD 55.000 - 83.000; Jornada completa

Descripción de la vacante

3Core Systems, Inc. in Easton, PA is seeking a Data Governance Data Analyst to support the quality and transparency of enterprise data across multiple systems. This hands-on role focuses on data profiling, lineage, and governance with collaboration across Data Engineering and BI teams.

The ideal candidate brings strong SQL skills, experience with Snowflake or similar cloud data warehouses, and a proactive, analytical mindset to drive data quality improvements. Hybrid onsite 2 days/week.

Formación

• Hands-on data governance and data quality experience.
• Ability to analyze complex datasets and trace data movement.
• Strong SQL skills with experience profiling and reconciling data.

Responsabilidades

• Write and execute SQL queries to analyze, profile, validate, and reconcile enterprise datasets.
• Investigate data discrepancies across multiple systems and trace data through ETL/ELT pipelines.
• Document data relationships, source-to-target mappings, and data lineage for governance.
• Collaborate with Data Engineering and BI teams to improve data quality and transparency.

Conocimientos

SQL

Data analysis

Python

Snowflake

Data governance

Data lineage

Descripción del empleo

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.