Data Analytics Analyst III
Location: Atlanta, Ga
Contract- 6 Months on W-2
Client- Georgia Power
GC & US Citizen only
Position Overview
We are seeking an experienced Data Analytics Analyst III with strong expertise in data modeling, Power BI, SQL, and Azure-based analytics environments .
This role blends advanced analytics, BI development, and cloud-based data preparation within a modern lakehouse architecture (Databricks / Delta Lake). The ideal candidate can translate business questions into structured analytical datasets and actionable dashboards while coordinating small-to-mid-sized analytics workstreams.
Key Responsibilities
Data Modeling & Architecture
- Design and implement dimensional and relational data models:
- Conceptual, logical, and physical models
- Enterprise data structures
- Apply best practices for performance optimization and scalability.
SQL & Data Engineering
- Develop advanced SQL queries across relational databases:
- Work within Databricks and Delta Lake notebook environments.
- Support ETL/ELT processes, data validation, and data performance tuning.
Business Intelligence & Reporting
- Develop and maintain enterprise dashboards using Power BI .
- Create semantic models using:
- Apply visualization best practices and dashboard UI/UX standards.
- Translate business requirements into analytical datasets and KPIs.
Data Preparation & Cloud Analytics
- Work within Azure analytics ecosystems:
- Utilize Databricks SQL or Spark SQL for advanced analytical queries.
Project & Stakeholder Coordination
- Coordinate small to mid-sized analytics projects or workstreams.
- Partner with business stakeholders to clarify requirements.
- Provide data-driven insights to support strategic decisions.
Required Qualifications
- 5–10 years of experience in data analytics or BI roles.
- Data modeling (dimensional/star schema)
- SQL and relational databases
- Power BI (DAX, Power Query, dataset modeling)
- Hands-on experience with:
- Notebook-based development
- Ability to convert business questions into structured analytical outputs.
Preferred Qualifications
- Exposure to Azure analytics tools (ADF, Synapse, Fabric).
- Experience with Python or R for data transformation.
- Familiarity with Spark SQL or Databricks SQL.
Technical Skills Summary
- SQL (Azure SQL / SQL Server / PostgreSQL)
- Power BI (DAX / M / Semantic Modeling)
- Data Modeling (Star Schema / Lakehouse)
Core Competencies
- Strong analytical and critical thinking skills
Business translation capability (technical
- Attention to data quality and validation
- Project coordination and stakeholder management
- Ability to work in cloud-based, modern data ecosystems