Urgent Requirement for Data Analytics Engineer in New York City, NY - CGEMJP00314780

  • New York, NY
  • Posted 12 hours ago | Updated 11 hours ago

Overview

On Site
Accepts corp to corp applications
Contract - W2
Contract - to 12/31/2025

Skills

Data analytics

Job Details

Hello,

Role Name: Data Analytics Engineer
Location: New York City, NY
Duration: 6+ Months with possible extension

Job ID: CGEMJP00314780

Job Description:
"About the Role
We are seeking a versatile and results-driven Data Analytics Engineer to join our team supporting Morgan Stanley. This hybrid role blends the technical depth of data engineering with the strategic insight of business analytics responsible for understanding the business functions & developing scalable data solutions, analytics and delivering actionable insights to business.

Key Responsibilities
Collaborate with business stakeholders to define key metrics, KPIs, and data requirements.
Design, build, and maintain efficient data pipelines and ETL processes to support analytics and reporting.
Translate complex datasets into clear, business-oriented insights and recommendations.
Develop and maintain dashboards, reports, and visualizations.
Ensure data accuracy, consistency, and governance across platforms.
Conduct deep-dive analyses to uncover trends, risks, and opportunities.
Partner with data scientists, product managers, and business teams to support strategic initiatives.

Required Qualifications
Bachelor's degree in Computer Science, Data Engineering, Statistics, or a related field.
12+ years of experience in data engineering and analytics roles.
Strong proficiency in SQL & Analytics tools.
Proven experience in financial services and wealth management domains, with expertise in stock plans, financial data, Crypto and related business processes.
Hands-on experience with data warehousing solutions such as Snowflake.
Solid understanding of data modeling, architecture, and governance principles.
Excellent communication and collaboration skills.

Preferred Skills
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform).
Familiarity with Analytics tools such as Dataiku etc.
Prior experience working with Morgan Stanley's Wealth Management team."

Thanks and Regards,

David (Amit)
Senior Technical Recruiter

Office: Extn: 4020

Direct Number:

Email :

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SYSMIND is an Equal Employment Opportunity employer. All qualified applicants will be considered for employment without any discrimination. All applicants will be evaluated solely based on their ability, competence, and performance of the essential functions of their positions. We promote and support a diverse workforce at all levels in the company.


SYSMIND LLC is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without any discrimination. We promote and support a diverse workforce at all levels in the company. All job offers are contingent upon completion of a satisfactory background check and reference checks. Additionally passing the drug test may also be required. All contractors intending to work on SYSMIND's W2 are "at will" employees.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.