F2F Interview - Data Analytics Engineer - New York, NY (Hybrid) - CG

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Data Analytics
wealth management
Stock plans
Financial data
Crypto
data modeling
Snowflake
SQL
Dashboarding
visualizations
data warehousing
AWS
Azure
GCP

Job Details

Role: Data Analytics Engineer

Locations: New York, NY (Hybrid Onsite)

Duration: 12+ Months Contract

 

F2F Interview Highly Preferred for Local Candidates.

Note: Candidate needs to be in the office 3-4 Days every week. Local or candidates from adjacent states only.

 

About the Role:

  • We are seeking a versatile and results-driven Data Analytics Engineer to join our team supporting client.
  • 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.
  • 5+ 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 (Good to have):

  • 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.

 

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.