Position Summary:We have an exciting opportunity to join our team as a Sr. Analyst I.
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.
Job 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.
Minimum Qualifications:To qualify you must have a 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)
Preferred Qualifications: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).
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Langone Health provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you\'ll feel good about devoting your time and your talents.
At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it\'s developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
