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Data Analyst - Database Design

Job in East Hanover, Morris County, New Jersey, 07936, USA
Listing for: Stefanini
Full Time position
Listed on 2026-09-01
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing
Job Description & How to Apply Below
Location: East Hanover

Stefanini Group is hiring! Stefanini is looking for a Data Analyst - Database Design in East Hanover, NJ (Hybrid) For quick apply, please reach out to Madelaine 'Madie' Yu Call:  / Email:  Open for W2 candidates only!

Work Location:

Hybrid: 100 Deforest Ave., East Hanover, NJ 07936

Work Schedule:

Monday to Friday, 8:00 AM - 5:00PM (40 hours per week)

Description:

Leverage analysis design techniques to solve business problems using information technology to operationalize data and analytical models to drive long-term business results. How you will contribute You will:
Partner with MDS in providing accessibility, retrievability, security and protection of data in an ethical manner. Partner with Product Owners, BI Developers and Business Leads to conduct business requirement gathering & continuous improvement sessions to support the business and understand requirements for analytical projects and develop necessary requirement documents and acceptance criteria to support their development in line with process guidelines Develop UAT (User Acceptance Testing) and SIT (System Integration Testing) test cases based off analytical data product requirements.

Support for scoping, building, testing, and maintaining transport/data pipelines and retrieving applicable data sets for specific use cases. Support building, testing, and maintaining data models with the flexibility to change when business requirements change, while also reconciling multiple logical source models into a single, logically consistent model. Analyze the structure, format, and reliability of new and existing data sources, considering factors such as data integrity, completeness, accuracy, and drive continuous improvement.

Participate in data governance processes to ensure data is properly maintained and document for reusability by the business Understand data and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation. What you will bring: A desire to drive your future and accelerate your career and the following experience and knowledge:
Understanding of Data Engineering concepts within a business setting, including working with multiple systems such as SAP, internal and external data sources. Experience in developing, enhancing, testing, and maintaining data products. Experience in using diverse range of languages and tools, including scripting languages, for data extraction, transformation, storage, processing, and integration. Analyze business requirements as a guide for data modeling and apply data analysis, design, modeling, and quality assurance techniques, continuous improvement, based on a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions).

Ability to simplify complex problems and effectively communicating technical concepts to a diverse audience. More about this role Key

Skills:

Strong hands-on SQL and Alteryx experience is essential Process Analysis & Documentation:
Ability to analyze existing processes, identify gaps, and document business/technical requirements Backlog Management:
Experience breaking down data processes into actionable backlog items and working with Product Owners in ADO ETL & Data Model Remediation:
Ability to assess and identify remediation needs across ETL pipelines, reporting layers, and data models Location/

Work Hours:

Candidates must be available during Eastern Time (ET) business hours What extra ingredients will you bring:
Cloud computing technologies (Azure, GCP)
Programming

Languages:

SQL, Python, PySpark (Apache Spark), DAX, etc.

Analytics platforms:
Databricks, Google Cloud Dataproc, etc.

Experience with CI/CD, Dev Ops, and Data Ops techniques.

Experience with ETL, Data pipelines and architecture

Technical Documentation Experience in data modelling and wrangling techniques and tools i.e., Star Schema, Snowflake Schema, Data vault, Alteryx, Power BI, Tableau, etc.

Data quality and profiling methods

Education / Certifications:

Bachelor's degree in a related field. BS Computer Science, Information Systems, etc. Job specific requirements: 1+ years Data Engineering/Modeling3+ years Database Design Listed salary ranges may vary based on experience, qualifications, and local market. Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you.

Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers. About Stefanini Group The Stefanini Group is a global provider of offshore, onshore, and nearshore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world.

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