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# Data Analytics Analyst III 4P/650

- **Company:** 4P Consulting Inc.
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Microsoft Azure, Business Intelligence Development, Cloud Computing, Cloud Database, Data Validation, Data Cleansing, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Dataspaces, Relational Databases, Excel Formulas, Design of User Interfaces, Apache Hive, Python (Programming Language), PostgreSQL, Meta-Data Management, Microsoft SQL Server, SQL Azure, Performance Tuning, Powerpivot, Power BI, SQL Databases, Enterprise Data Management, Freeform SQL, Microsoft Power Automate, Azure Data Factory, Powerquery, Microsoft Fabric, Data Lakes, Data Analytics, Star Schema, Data Management, Tools for Reporting, Semantic Modeling, Azure Synapse Analytics, Powerapps, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-analytics-analyst-iii-4p-650-atlanta-ga--e465f8f9-dd24-4dfa-afe2-8d93da9cba4d

## About the Role

Data Analysis, Analysis Skills, United States Citizen, Data Analysis, Analysis Skills, Data Modeling, Power BI, SQL (Structured Query Language), Microsoft Windows Azure, Business Intelligence, * 5-10 years of experience in data analytics or BI roles.

 * Strong experience with:
 + Data modeling (dimensional/star schema)
 + SQL and relational databases
 + Power BI (DAX, Power Query, dataset modeling)
 * Hands-on experience with:
 + Databricks
 + Delta Lake
 + Notebook-based development
 * Strong Excel skills:
 + Power Query
 + Power Pivot
 + Advanced formulas
 * Ability to convert business questions into structured analytical outputs., * Experience with:
 + Power Apps
 + Power Automate
 * Exposure to Azure analytics tools (ADF, Synapse, Fabric).
 * Experience with Python or R for data transformation.
 * Knowledge of:
 + Data governance
 + Metadata management
 + Data stewardship
 * Familiarity with Spark SQL or Databricks SQL., * SQL (Azure SQL / SQL Server / PostgreSQL)
 * Power BI (DAX / M / Semantic Modeling)
 * Databricks / Delta Lake
 * Data Modeling (Star Schema / Lakehouse)
 * ETL / ELT Concepts
 * Excel (Advanced)
 * Azure Cloud Analytics
 * Spark SQL (Preferred)

Core Competencies

 * Strong analytical and critical thinking skills
 * Business translation capability (technical business)
 * Attention to data quality and validation
 * Project coordination and stakeholder management
 * Ability to work in cloud-based, modern data ecosystems

## Description

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., Data Modeling & Architecture

 * Design and implement dimensional and relational data models:
 + Star schema
 + 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:
 + Azure SQL
 + SQL Server
 + PostgreSQL
 * 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:
 + DAX
 + Power Query (M)
 * 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:
 + Azure Data Factory
 + Azure Synapse
 + Microsoft Fabric
 * 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.