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# Data Analyst

- **Company:** The Aes Group, Inc
- **Location:** Morristown, NJ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $122,250.0 - $176,583.0
- **Contract:** Temporary to permanent
- **Skills:** Adobe Analytics, Artificial Intelligence, BigQuery, Data Validation, Data Governance, Data Mapping, Data Systems, Database Queries, Document-Oriented Databases, Python (Programming Language), Meta-Data Management, Power BI, Cloud Services, Requirements Management, SQL Databases, Tableau (Software), Enterprise Data Management, Data Processing, Sql Optimization, Snowflake, Data Lineage, Collibra, Data Management, Tools for Reporting, Azure Synapse Analytics, Looker Analytics, Amazon Redshift, Databricks
- **Published:** July 11, 2026
- **Apply:** https://www.careerjet.com/jobad/us8941bbc6cc6e6d1ff9ab8fbf1724cd6b

## About the Role

7+ years of experience in a data analyst or business intelligence role with a strong emphasis on stakeholder-facing work
Advanced SQL skills with the ability to write complex queries, data extracts, and analytical scripts against large relational or cloud-based datasets
Demonstrated experience gathering and translating business requirements into data solutions - including requirements documentation, data mapping, and delivery
Strong proficiency in BI and reporting tools such as Tableau, Power BI, or Looker
Experience working with cloud data platforms such as Databricks, Snowflake, Redshift, BigQuery, or Azure Synapse
Excellent interpersonal and communication skills - able to build rapport with business users, ask probing questions, and explain data findings without technical jargon
Proven ability to manage a queue of business requests, prioritize competing demands, and deliver independently in a contractor or consulting capacity
High attention to detail with a strong instinct for data validation and quality assurance before presenting results, Familiarity with data governance concepts including data stewardship, business glossaries, data lineage, and metadata management
Experience with data governance or cataloging platforms such as Collibra, Alation, or Microsoft Purview
Exposure to master data management processes and data quality frameworks
Proficiency in Python or R for data wrangling, automation, or analytical scripting
Experience working in regulated industries such as financial services, healthcare, retail, or government
Background supporting a centralized data team, center of excellence (COE), or enterprise data management function is a strong plus
Ready to make an impact? Apply now and join us on our journey!

## Description

We are looking for a seasoned Senior Data Analyst to join our EDAP Team. In this role, you will serve as a critical bridge between business users and the data management function - working directly with stakeholders across the organization to understand their data needs, translate those needs into analytical solutions, and deliver accurate, timely, and meaningful information that supports decision-making.
You are equally comfortable in a business conversation as you are writing a complex SQL query. You ask the right questions, dig into the data, and come back with answers that make sense to the people asking them., Engage directly with business users across departments to gather, clarify, and document data and reporting requirements
Translate business questions and needs into analytical queries, reports, and data extracts that deliver clear, actionable information
Develop and maintain recurring and ad hoc reports, dashboards, and data pulls in support of business operations and strategic initiatives
Profile and analyze source data to validate accuracy, identify gaps, and ensure outputs meet business expectations before delivery
Act as a trusted point of contact for business stakeholders - managing requests, setting expectations, and communicating findings in plain language
Partner with the EDAP Core Team to align business data needs with enterprise data standards, definitions, and governance practices
Document business requirements, data definitions, and analytical logic to support transparency, reproducibility, and knowledge sharing
Identify patterns in recurring business requests and proactively develop self-service solutions, standardized templates, or automated workflows to reduce turnaround time
Collaborate with data platform engineers and modelers to surface data quality issues, missing data elements, or structural gaps uncovered through business engagement
Contribute to the development of a shared business glossary and data catalog by capturing domain knowledge gathered through stakeholder interactions
Participate in Agile ceremonies and deliver work iteratively in alignment with team and business priorities


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