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Lead Data Analyst
Job in
Jersey City, Hudson County, New Jersey, 07390, USA
Listed on 2026-07-13
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-13
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Warehousing
Job Description & How to Apply Below
The successful candidate will act as a key data partner, delivering data insights, quality, and governance across the organization.
Responsibilities- Analyze complex datasets to identify trends, patterns, and insights that support business objectives
- Translate business requirements into technical specifications for data solutions
- Perform data profiling, source-to-target mapping, and validation to ensure accuracy and consistency
- Support the implementation and maintenance of data governance frameworks and standards
- Ensure data quality through regular audits, validation processes, and adherence to data management policies
- Document data flows, data lineage, and system integrations across upstream and downstream systems
- Collaborate with stakeholders to define and maintain data definitions, business rules, and metadata
- Help design and develop ETL (Extract, Transform, Load) processes to support data integration initiatives
- Work with cloud‑based data platform and relational databases, SQL queries, and data modeling techniques to support analytical needs
- Troubleshoot data‑related issues and provide technical support for production systems
- Participate in testing activities by supporting QA resources with test case development, execution, and defect tracking
- Partner with business stakeholders, IT teams (ETL, QA & production support)
- Communicate findings, insights, and recommendations clearly to both technical and non‑technical audiences
- Participate in cross‑functional project teams to support enterprise and vertical initiatives
- Contribute to continuous improvement efforts by identifying opportunities for automation and process optimization
- 5+ years required; 7+ years preferred
- 5 or more years’ experience in SQL and relational database management systems
- 3 or more years’ experience with data warehouse concepts and data modeling concepts and practices
- 2 or more years’ experience with cloud‑based data platforms (e.g., AWS, Azure, Google Cloud)
- 2 or more years’ experience in ETL processes and data integration tools
- Experience in Microsoft Excel (advanced formulas, pivot tables, and data manipulation)
- Experience in data governance activities (business glossary, data catalogs, source‑to‑target mappings); exposure to Collibra preferred
- Experience in reference data management (tools like EDM / DRM preferred)
- SQL
- Data modeling
- ETL
- Data profiling
- Data validation
- Data governance
- Data quality
- Data integration
- Data analysis
- Data manipulation
- Collaboration
- Communication
- Problem‑solving
- Analytical thinking
- Attention to detail
- Continuous improvement
- Stakeholder engagement
- Technical support
- Documentation
- Testing
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