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Data Engineer/Analyst

iSpace, IncRaymond, OH🇺🇸United States

Why this role stands out

This hybrid Data Engineer/Analyst role at iSpace, Inc. offers a competitive hourly rate and the chance to significantly impact decision-making through robust data analysis and visualization. You'll thrive here if you possess strong analytical skills, AWS proficiency, and a collaborative spirit, with ample opportunity to develop your expertise in a dynamic environment. Apply now to leverage your technical talents and contribute to innovative projects!

Quick overview

Salary$57/hr
SeniorityMid Senior
Work modeOn Site
LocationRaymond, OH, United States
SQLAWSETLMachine LearningTableauPower BIPythonRedshift

Job description

***** IT'S A W2 CONTRACT ROLE, NO C2C/1099 *****

Title: Data Analyst / Engineer

Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote)

Contract Duration: 14+ months

Rate: $57/hr on W2

What will this person be working on

In this role, person will be responsible for conducting data analysis to support decision-making processes within the organization. The ideal candidate will have a strong analytical mindset, excellent communication skills, and the ability to work collaboratively with cross-functional teams.

TOP SKILLS

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven 3-5 years of experience in a Data Analyst role.
  • Strong proficiency in AWS services (S3, Redshift, Lambda, etc.).
  • Excellent analytical and problem-solving skills.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Strong SQL skills and familiarity with database management.
  • Ability to lead and manage tasks and activities effectively.
  • Excellent communication and collaboration skills.
  • Ability to work both independently and collaboratively in a team-oriented environment.
  • Preferred Qualifications:
  • Experience with machine learning and AI tools.
  • Familiarity with Python, R, SQL, Tableau/PowerBI knowledge of statistical analysis techniques.
  • Knowledge of data warehousing concepts and ETL processes.

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