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Financial Data Analyst / Engineer - HBITS-08-14978

GreyCell Labs, IncNew York, NY🇺🇸United StatesPosted 31 Aug 2026

Why This Role Stands Out

This long-term opportunity at GreyCell Labs offers significant impact by shaping financial data integrity and architecture. You'll thrive here if you possess extensive experience in data engineering, SQL, and financial data validation within a collaborative, on-site environment. Apply now to contribute your expertise to this dynamic team and advance your career in financial technology.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
New York, NY, United States
Posted
Yesterday
SQLSnowflakeTableauPythonVBA

Job Description

Job Title: ON-SITE - Financial Data Analyst / Engineer - HBITS-08-14978 

Location:  New York, NY 10004 

Duration: Long-term (30)  

Job Description:   

  • 84 Months of Experience in Data Engineering, Architecture, Data Governance, or Data Quality Assurance for Financial Reporting. 

  • 84 Months of Experience in SQL and Relational Database Management Systems (RDBMS), including querying complex datasets. 

  • 84 Months of Experience in Compiling, Computing, and Validating Financial Data using advanced statistical formulas and model calculations. 

  • 48 Months of Experience in Building and Maintaining Data Workflows and data pipelines using database tools, specifically translating business requirements into technical specifications. 

  • 36 Months of Experience in Automating Data Ingestion and Reporting using programming languages such as Python, R, or Excel VBA. 

  • 36 Months of Experience in Data Visualization utilizing Business Intelligence software, preferably Tableau. 

  • 24 Months of Experience in cloud based data platforms, preferably Snowflake. 

  • Bachelor’s Degree in a quantitative discipline (Computer Science, Statistics, Finance, or related field). 

________________________________________________________________  

Agency: Department of Financial Services 

Detailed Job Description: DFS is undertaking a significant modernization of its enterprise data environment, including the migration of critical data processing workflows to Snowflake and Informatica, and the expansion of business intelligence capabilities through Tableau. This role will guide, design, and optimize data processes for the R&I Division, mainly working with the VC and LPTC Bureaus, but also by supporting broader R&I Data Steward initiatives. The technical leadership provided by this position will strengthen the organization’s ability to leverage data as a strategic asset while ensuring scalability and long-term sustainability of its data infrastructure.  

Note: Sorry we do not Sponsor Visa  
Max: SEVEN 32.800.2838  

Aryan: - SEVEN 32.444.8990 

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