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Data Analytics Bi Specialist Jobs (NOW HIRING)

4pconsultinginc

Data Analytics Analyst III

Atlanta, GA · On-site

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 ...

Zachry Group

Engineering Data Analytics

Houston, TX · On-site

Engineering Data Analytics Specialist Location: Houston - Briarpark Zachry Engineering Corporation ... The ideal candidate will have strong Power BI expertise, project controls experience, and ...

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As of Sep 9, 2026, the average yearly pay for data analytics bi specialist in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

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Data Analytics Analyst III

Atlanta, GA • On-site

4pconsultinginc
See more jobs at 4pconsultingincexternal

Contractor

Re-posted 5 days ago

Job description

Position: Data Analytics Analyst III { GC & US Citizen only}

Location: Atlanta, Ga 30308
Duration: 6 Months
Client: Georgia Power
 

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:
    • 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