Hybrid Data Analyst: SQL, ETL & Data Modeling Expert

Stefanini North America and APAC; East Hanover (NJ); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Stefanini North America and APAC is seeking a Data Analyst - Database Design in East Hanover, NJ. Hybrid work arrangement supports collaboration with cross-functional teams to design data models and pipelines that drive business results.

The role emphasizes strong SQL and Alteryx skills, data governance, and the ability to translate requirements into robust data architectures while ensuring data quality and accessibility for analytic projects.

Qualifications

• Strong hands-on SQL and Alteryx experience is essential.
• Ability to analyze requirements and document technical specifications.
• Experience with ETL pipelines and data modeling.
• Available during Eastern Time business hours.

Responsibilities

• Partner with MDS to ensure accessibility, retrievability, security and protection of data.
• Collaborate with Product Owners, BI Developers and Business Leads to gather requirements and support analytical projects.
• Develop UAT and SIT test cases from data product requirements.
• Support scoping, building, testing, and maintaining transport/data pipelines and data sets.
• Develop and maintain data models and reconcile multiple source models.
• Analyze structure, format, and reliability of data sources to drive improvement.
• Participate in data governance and document for reusability.
• Understand data and metadata to support consistency of information retrieval and analysis.

Skills

SQL

Alteryx

Education

Bachelor's degree

Tools

Python

Databricks

Power BI

Tableau

Job description

Stefanini North America and APAC is seeking a Data Analyst - Database Design in East Hanover, NJ. Hybrid work arrangement supports collaboration with cross-functional teams to design data models and pipelines that drive business results.

The role emphasizes strong SQL and Alteryx skills, data governance, and the ability to translate requirements into robust data architectures while ensuring data quality and accessibility for analytic projects.