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# Data Analytics Analyst II 4P/755

- **Company:** 4P Consulting Inc.
- **Location:** Atlanta, GA, United States
- **Experience:** Experienced
- **Contract:** Temporary to permanent
- **Skills:** Data Analysis, Big Data, Information Systems, Extract Transform Load (ETL), Data Visualization, Python (Programming Language), Power BI, Standard Sql, SQL Databases, Enterprise Data Management, Information Technology, Data Analytics, Tools for Reporting, Databricks
- **Published:** July 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c7fdc7287c78cb46

## About the Role

Georgia Power is seeking a Data Analytics Analyst II with 3-5 years of experience to support enterprise data analytics initiatives. The ideal candidate will have strong experience with Python, SQL, Databricks, and Power BI , developing data queries, analyzing large datasets, and creating interactive dashboards that drive business insights and decision-making., · Bachelor's degree in Computer Science, Data Analytics, Information Systems, Mathematics, Statistics, or a related field.

· 3-5 years of experience in data analytics or business intelligence.

· Strong proficiency in Python and SQL.

· Experience writing and optimizing queries in Databricks.

· Experience developing Power BI dashboards connected to Databricks.

· Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

· Experience building Databricks Genie Rooms , applications, and visualizations.

· Experience working with enterprise data platforms and cloud analytics environments.

Preferred Skills

Python * SQL * Databricks * Power BI * Data Analytics * Data Visualization * Business Intelligence * Dashboard Development * Data Modeling * ETL * Reporting * Statistical Analysis * KPI Reporting

## Description

· Develop and optimize SQL queries in Databricks.

· Analyze large datasets to identify trends, insights, and business opportunities.

· Create interactive Power BI dashboards connected directly to Databricks.

· Develop data visualizations and reports for business stakeholders.

· Join and transform data from multiple data sources for analysis.

· Calculate statistical metrics, including averages, means, and other key performance indicators.

· Collaborate with business and technical teams to support data-driven decision-making.

· Ensure data quality, accuracy, and consistency across reporting solutions.


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