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Data Analytics Analyst III 4P/650
- Atlanta, Georgia, United States
- Atlanta, Georgia, United States
À propos
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.
Required Qualifications
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.
Preferred Qualifications
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.
Technical Skills Summary
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
Compétences linguistiques
- English
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