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Power Query Jobs in Atlanta, GA (NOW HIRING)

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 ...

Collaborate with DBAs and data engineers to optimize query performance and ensure data integrity. Power BI Administration & Governance * Manage Power BI Service components including workspaces ...

This role will design, develop, and govern solutions on Microsoft's Power Platform-including Power BI (DAX/Power Query), Power Automate, and Power Apps-to transform raw data into actionable insights ...

... and Power Query. • Advanced proficiency in DAX for creating measures, KPIs, calculated columns, and complex business logic. • Experience supporting Executive Leadership Dashboards (ELD) and ...

Basic experience or coursework with Power BI, including DAX and Power Query. * Familiarity with Excel and basic SQL. * Strong attention to detail and problem-solving skills. * Good communication and ...

Basic experience or coursework with Power BI, including DAX and Power Query. * Familiarity with Excel and basic SQL. * Strong attention to detail and problem-solving skills. * Good communication and ...

Basic experience or coursework with Power BI, including DAX and Power Query. * Familiarity with Excel and basic SQL. * Strong attention to detail and problem-solving skills. * Good communication and ...

Strong Excel skills, including macros/VBA, pivot tables, Power Query, and complex formulas. Experience with Power BI, Tableau, or similar BI/visualization tools. Experience applying AI tools or ...

Expert-level Power BI skills, including semantic modeling, DAX, Power Query, dataflows, deployment pipelines, workspace design, performance tuning, incremental refresh, composite models, report ...

Develop and optimize DAX measures, calculated columns, Power Query (M) transformations, and semantic model performance. Design, implement, and manage Row-Level Security (RLS) Administer Power BI ...

Showing results 21-40

Power Query information

See Atlanta, GA salary details

$12

$23

$44

How much do power query jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for power query in Atlanta, GA is $23.57, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $27.26 per hour, depending on experience, location, and employer.

What are the typical responsibilities of a Power Query?

As a professional specializing in Power Query, you are primarily responsible for connecting to diverse data sources, cleaning and transforming raw data, and building repeatable data workflows for reporting or analysis. You will often collaborate with business analysts, data engineers, and decision-makers to define requirements and ensure data accuracy. Managing and troubleshooting queries, optimizing data models, and documenting transformation steps are also key parts of the daily routine. This role typically involves a mix of independent problem-solving and teamwork within data or analytics departments.

Is there a certification for Power Query?

Power Query itself does not have a dedicated certification, but proficiency in Power Query is often demonstrated through certifications in related tools like Microsoft Excel or Power BI. Microsoft offers certifications such as the Microsoft Certified: Data Analyst Associate that cover Power Query skills as part of broader data analysis competencies.

What is a Power Query?

A Power Query job typically involves using Microsoft's Power Query tool to extract, transform, and load (ETL) data from different sources into Excel or Power BI. Professionals in this role clean, reshape, and automate data processing to improve efficiency and decision-making. They may work with business analysts, data analysts, or finance teams to streamline reporting and analytics. Strong knowledge of M language, Power BI, and Excel is often required.

What are the key skills and qualifications needed to thrive in a Power Query role?

To excel in Power Query roles, you need strong skills in data transformation, advanced Excel or Microsoft Power BI knowledge, and experience with M language scripting. Familiarity with data integration tools, Power Query-specific functions, and potentially relevant certifications like Microsoft Certified: Data Analyst Associate are important. Analytical thinking, problem-solving, and clear communication with stakeholders are valuable soft skills for success in this field. These capabilities ensure efficient processing of complex data sets and effective collaboration to drive data-informed decisions.

Is Power Query a valuable skill?

Power Query is a valuable skill for data analysts and professionals working with data transformation and automation in Excel and Power BI. Proficiency in Power Query can improve efficiency and is often sought after in roles involving data management and reporting. Learning this tool can enhance job prospects in data-related fields.
Infographic showing various Power Query job openings in Atlanta, GA as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $49,023 per year, or $23.6 per hour.

Data Analytics Analyst III

4pconsultinginc

Atlanta, GA • On-site

Contractor

Re-posted 7 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