Data Analytics Analyst 3 / 498

4P Consulting Inc.; Atlanta (GA); On-site; USD 90,000 - 120,000; Part time

Job summary

A consulting company is seeking a Data Analytics Analyst 3 to analyze complex datasets and deliver actionable insights. The ideal candidate will have 5–10 years experience in data analytics, proficiency in Python, R, and SQL, and experience with data visualization tools such as Matplotlib and Tableau. Responsibilities include data analysis, statistical modeling, and developing ETL processes. This role is critical for supporting business decisions based on data insights.

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 like Matplotlib, Seaborn, Tableau.

Responsibilities

• Analyze large and complex datasets using Python, R, and SQL.
• Create clear visualizations with Matplotlib, Seaborn, Tableau.
• Design and execute ETL processes for data preparation.
• Perform statistical analysis and hypothesis testing.
• Apply machine learning techniques for predictive modeling.

Skills

Data analysis

Data visualization

Statistical modeling

Machine learning

Data integration

ETL processes

Python

R

SQL

Matplotlib

Seaborn

Tableau

Job description

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