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Data Analytics Analyst

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: 4P Consulting Inc.
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineer, Data Mining
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Position: Data Analytics Analyst 3 / 498

Data Analytics Analyst 3

Location: Atlanta, GA

Client: Southern Company Gas

Contract: 10 Months

Position Overview

We are seeking an experienced Data Analytics Specialist to analyze complex datasets and deliver actionable insights that support business and operational decision-making. This role requires strong technical expertise in data analysis, visualization, and statistical modeling, along with the ability to translate data into clear, impactful insights for stakeholders.

Key Responsibilities Data Analysis & Visualization
  • Analyze large and complex datasets using tools such as Python, R, and SQL
  • Create clear and compelling visualizations using Matplotlib, Seaborn, Tableau
    , or similar tools
  • Present data insights and trends to technical and non-technical stakeholders
Data Integration & ETL
  • Design and execute ETL (Extract, Transform, Load) processes to prepare data for analysis
  • Integrate data from multiple sources, including databases, files, and APIs
  • Ensure data accuracy, consistency, and reliability throughout the analytics lifecycle
Statistical Analysis & Modeling
  • Perform statistical analysis and hypothesis testing to identify patterns and trends
  • Apply machine learning techniques for predictive modeling and forecasting
  • Validate models and ensure analytical results are meaningful and actionable
Qualifications
  • 5–10 years of hands‑on experience in data analytics, business intelligence, or data science
  • Strong proficiency in Python, R, and SQL
  • Experience with data visualization libraries and tools (
    Matplotlib, Seaborn, Tableau
    )
  • Hands‑on experience with ETL processes and data integration
  • Solid understanding of statistical methods and analytical techniques
  • Experience applying machine learning models for predictive analytics
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