Data Analytics Engineer

Hybrid in Alpharetta, GA, US • Posted 20 hours ago • Updated 20 hours ago
Contract W2
12 Months
Hybrid
$20 - $60/hr
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Good Clinical Practice
  • Data Modeling
  • Data Warehouse
  • Extract
  • Transform
  • Load
  • Finance
  • Financial Services
  • Communication
  • Computer Science
  • Cryptography
  • Dashboard
  • Data Engineering
  • Amazon Web Services
  • Analytics
  • Business Process
  • Reporting
  • Snow Flake Schema
  • Cloud Computing
  • Collaboration
  • Google Cloud Platform
  • KPI
  • Microsoft Azure
  • SQL
  • Statistics
  • Wealth Management

Summary

Position: Data Analytics Engineer - Techno functional Role

Location: NY/Alpharetta (Hybrid 3 days onsite) F2F interview required

Duration: Contract

Rate: DOE

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.
  • 8+ 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.

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.
  • Dice Id: 10398358
  • Position Id: 8985630
  • Posted 20 hours ago
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