Job Description

Job Title: Senior Data Analyst

Location (on site vs remote): hybrid (3 days onsite)

Address: Morristown, NJ

Duration: 6 months (possible extension and conversion is TBD )

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.

Key Responsibilities

• 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

Required Qualifications

• 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

Preferred Qualifications

• 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

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