Senior Technical Business Analyst

NYU Langone Health • New York, NY

1d • $84,578 - $111,088

About The Position

We are seeking an experienced Senior Technical Business Analyst to support the development, integration, and optimization of our enterprise Data Lakehouse platform. This role bridges business stakeholders and technical teams to ensure well-defined requirements are captured to build high-quality data solutions for analytics, reporting, and AI/ML initiatives.

Requirements

• Bachelors or Masters degree in Data Science, Computer Science, Statistics, Business Analytics, or related field.
• 3+ years of experience in data analytics or business intelligence
• Strong understanding of data Lakehouse concepts, including data ingestion, transformation (ETL/ELT), and modeling.
• Proficiency in SQL, data visualization tools (e.g., Power BI, Tableau, Looker)
• Qualified candidates must be able to effectively communicate with all levels of the organization.

Nice To Haves

• Experience with modern data platforms (e.g., Databricks, Snowflake, Delta Lake, Amazon S3 or Google Big Query)
• Experience with cloud data ecosystems (AWS, Azure, GCP).

Responsibilities

• Manage the end-to-end lifecycle of enterprise data initiatives, from project intake and requirements gathering through implementation, deployment readiness, adoption, and post-production support.
• Independently lead business and technical discovery sessions for new data and analytics projects.
• Translate business needs into clear functional and technical requirements for data engineers, architects, and BI teams.
• Understand data flows, source systems, data dependencies, transformation requirements, downstream consumers, and integration needs.
• Apply strong knowledge of data warehouse and Lakehouse concepts including ETL/ELT, batch/incremental processing, facts and dimensions, data grain, keys, historical data, source-to-target mapping, data quality, and reconciliation.
• Use SQL to profile data, validate requirements, investigate data issues, reconcile results, and support user acceptance testing.
• Collaborate with data engineers and architects to ensure requirements are technically feasible, scalable, secure, and aligned with enterprise standards.
• Evaluate business value, technical feasibility, data quality, security, cost, timelines, dependencies, and risks.
• Coordinate data access requests, service management tickets, issue resolution, and stakeholder follow-up for Databricks projects.
• Maintain project documentation and communicate status, risks, dependencies, and decisions in project and leadership meetings.
• Partner closely with other analysts, engineering teams, architects, and business stakeholders.

Benefits

• financial security benefits
• a generous time-off program
• employee resources groups for peer support
• holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior