AWS Data Analyst (Need locals to NJ /Hybrid role)

  • Newark, NJ
  • Posted 1 day ago | Updated 14 hours ago

Overview

Hybrid
$50 - $60
Full Time
No Travel Required

Skills

Data Analyst
AWS
SQL
Excel
Python
S3
Redshift
Athena
SSIS

Job Details

Job Title: AWS Data Analyst

Location: Hybrid. Must be onsite 3 days a week / Newark, NJ

Duration: 6 + Months contract to Hire

Interview Process : Teams video call and In-person

Our client is seeking an AWS Data Analyst to collecting, cleaning, and interpreting large datasets to find patterns and insights, then communicating these findings to stakeholders through reports and dashboards to drive business decisions

The ideal candidate will have strong analytical abilities, proficiency in tools like SQL, Excel, and Python, and excellent communication skills to translate complex data into actionable business strategies.

Location: This client is located in central NJ. The candidate must be local and willing to go into the office 2 3 days a week.

Responsibilities:

  • Extract, clean, and analyze large datasets from multiple sources.
  • Write complex SQL queries to retrieve, manipulate, and analyze data efficiently.
  • Develop and maintain dashboards and reports for business stakeholders.
  • Work with AWS services such as S3, Redshift, Athena, and Glue for data processing and analysis.
  • Collaborate with cross-functional teams to understand data requirements and provide actionable insights.
  • Ensure data integrity, consistency, and security across various databases.
  • Identify trends, anomalies, and opportunities in data to drive business decisions.

Required Education & Experience:

  • Bachelor s degree in Computer Science, Data Engineering, or related field with 5+ years of experience in data analyst roles
  • Proficiency in SQL, Python, or Scala for data transformation and processing.
  • Working Knowledge of AWS services
  • Experience with SSIS
  • Proven experience in data analysis, business intelligence, or related roles.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication skills
  • Ability to work independently and collaboratively in a fast-paced environment.
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