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Data Analyst Power Bi Developer Jobs in Atlanta, GA

DATA ANALYST/BI ENGINEER Location: Plano, TX - Hybrid (3 days/week on-site) preferred. Alternate ... Develop and maintain Power BI dashboards and reports that translate complex data into clear ...

Create and maintain reports and dashboards using BI tools such as Power BI, SSRS, etc ... Use warehouse data to develop and implement interactive analytical reports and dashboards to ...

Create and maintain reports and dashboards using BI tools such as Power BI, SSRS, etc ... Use warehouse data to develop and implement interactive analytical reports and dashboards to ...

Role: SQL Power BI Consultant Location: Atlanta, GA - On-Site - Day 1 Position: Full Time/Contract Key Skills : SQL , Power BI - Having Azure is a Big Pluse Qualifications • Queries in SQL • ...

ProArch is looking for a talented Data Analyst/PowerBI Engineer who will play a crucial role in ... In this position, you will leverage your expertise in Power BI and data analysis techniques to ...

ProArch is looking for a talented Data Analyst/PowerBI Engineer who will play a crucial role in ... In this position, you will leverage your expertise in Power BI and data analysis techniques to ...

ProArch is looking for a talented Data Analyst/PowerBI Engineer who will play a crucial role in ... In this position, you will leverage your expertise in Power BI and data analysis techniques to ...

Create and maintain Power BI/Tableau/Palantir Foundry dashboards for leadership visibility into ... Translate engineering and business data into intuitive dashboards, custom visualizations, and clear ...

... Power BI, Tableau, or Excel. · Write and optimize SQL queries to extract and manipulate data. · Collaborate with business stakeholders to understand reporting requirements. · Monitor key ...

Advanced Power BI development and performance optimization. * SQL and/or Python programming for data analysis and reporting automation. * Experience with Microsoft Power Platform tools, including ...

Showing results 21-40

Data Analyst Power Bi Developer information

See Atlanta, GA salary details

$32.7K

$79.5K

$130.8K

How much do data analyst power bi developer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data analyst power bi developer in Atlanta, GA is $79,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $93,300.00 per year, depending on experience, location, and employer.

How does a data analyst Power BI developer typically collaborate with other departments within an organization?

Data Analyst Power BI Developers often work closely with stakeholders from various departments, such as finance, marketing, and operations, to understand their data needs and translate them into actionable dashboards and reports. They collaborate with IT teams to ensure data sources are accurate and accessible, and may participate in cross-functional meetings to gather requirements or present analytical findings. This role requires strong communication skills to bridge the gap between technical data work and business objectives, ensuring that insights are both useful and user-friendly for non-technical audiences.

What are the key skills and qualifications needed to thrive as a Data Analyst Power BI Developer, and why are they important?

To excel as a Data Analyst Power BI Developer, you need strong analytical skills, proficiency in data modeling, and a solid foundation in statistics, often backed by a degree in a quantitative field. Expertise in Power BI, SQL, Excel, DAX, and possibly certifications like Microsoft Certified: Data Analyst Associate are commonly required. Attention to detail, problem-solving ability, and effective communication are critical to translate data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, impactful reporting, and successful collaboration to drive business decisions.

What is a data analyst Power BI developer?

Data Analyst Power BI Developers are professionals who specialize in collecting, processing, and analyzing data to help organizations make informed decisions. They use Microsoft Power BI, a powerful business analytics tool, to visualize data and create interactive dashboards and reports. These professionals work closely with stakeholders to understand business requirements, gather and transform data from various sources, and present insights in a clear and actionable format. Their role often combines strong analytical skills, knowledge of databases, and expertise in Power BI to turn raw data into meaningful business intelligence.

What is the difference between Data Analyst Power Bi Developer vs Data Analyst?

AspectData Analyst Power Bi DeveloperData Analyst
Required SkillsData visualization, Power BI, SQL, data modelingData analysis, Excel, SQL, reporting
CertificationsPower BI certifications, SQL certificationsExcel certifications, data analysis certifications
Work EnvironmentBusiness intelligence teams, data departmentsVarious departments, analytics teams
Industry UsageFinance, marketing, sales, ITFinance, healthcare, retail, many sectors

While both roles involve data analysis, a Data Analyst Power Bi Developer specializes in creating interactive dashboards and reports using Power BI, focusing on data visualization and BI solutions. A Data Analyst may perform broader data analysis tasks across different tools and platforms. The Power BI Developer role often requires specific certifications and technical skills related to Power BI, whereas a Data Analyst's skills are more general. Both roles are essential in data-driven organizations but serve different functions within the analytics ecosystem.

What are popular job titles related to Data Analyst Power Bi Developer jobs in Atlanta, GA? For Data Analyst Power Bi Developer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Data Analyst Power Bi Developer jobs in Atlanta, GA look for? The top searched job categories for Data Analyst Power Bi Developer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Data Analyst Power Bi Developer jobs? Cities near Atlanta, GA with the most Data Analyst Power Bi Developer job openings:
Infographic showing various Data Analyst Power Bi Developer job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $79,471 per year, or $38.2 per hour.

DATA ANALYST/BI ENGINEER

Salesforce

Atlanta, GA • On-site

Full-time

Posted 5 days ago


Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

112th of 242 rated software companies


Job description

DATA ANALYST/BI ENGINEER
Location: Plano, TX - Hybrid (3 days/week on-site) preferred. Alternate: Atlanta,
GA - Hybrid (3 days/week on-site)
Required Skills: Strong SQL, Databricks ( or Snowflake) , Python and PowerBI ( reports and dashboard development)
Preferred : Snowflake, Python, Terraforma
We are seeking a highly analytical, technically strong, and relentlessly curious Data Analyst / Analytics Engineer to help transform complex, disconnected data into trusted business insights and scalable data solutions.
While strong SQL skills remain essential, success in this role requires a broader capability across Databricks, data engineering, end-to-end analytics, and Power BI development. This role is not limited to querying data-it requires building and optimizing the data foundation, shaping business-ready datasets, and delivering clear, executive-ready reporting and visualization solutions.
The ideal candidate is equally comfortable working across raw data, transformation logic, analytical modeling, and front-end reporting. They enjoy solving difficult problems, thrive in ambiguity, and continuously ask questions to understand not only what happened, but also why it happened, where the data came from, how it should be modeled, and how insights should be delivered to the business in a trusted and scalable way.
This individual should be able to work across the full analytics lifecycle: sourcing and engineering data, understanding lineage and dependencies, designing curated datasets, applying business logic, validating outputs, and delivering insights through dashboards, reports, and executive readouts. They are naturally driven to investigate, learn the business, understand source systems, and uncover relationships across domains that others may overlook.
This role supports strategic business initiatives across Fiber, Connected Communities, Mobility, customer, revenue, operational, and financial domains. The individual is expected to partner closely with business stakeholders, develop a deep understanding of the business, and create scalable, trusted, and well-engineered data and reporting solutions that support executive decision-making.
Key Responsibilities
  • Analyze and integrate data across multiple applications, source systems, and business domains.
  • Design, build, and maintain scalable data pipelines and transformation logic to support analytics and reporting needs.
  • Develop advanced SQL queries, analytical models, and reconciliation logic to investigate, validate, and unify complex datasets.
  • Use Databricks to engineer, transform, optimize, and operationalize large-scale datasets for analytical consumption.
  • Build curated, business-ready datasets that serve as trusted sources for analysis, executive reporting, and self-service consumption.
  • Develop and maintain Power BI dashboards and reports that translate complex data into clear, actionable insights for business and executive stakeholders.
  • Own analytics solutions end to end, from raw data ingestion and transformation through semantic logic, reporting, visualization, and insight generation.
  • Transform fragmented and complex data into clear, business-relevant stories and recommendations.
  • Identify relationships between customers, products, locations, revenue, operational activity, and business performance.
  • Partner with business stakeholders to understand objectives, define KPIs and metrics, and solve challenging business problems.
  • Investigate data quality issues, perform root-cause analysis, and implement sustainable fixes in partnership with upstream and downstream teams.
  • Ensure data lineage, business logic, and transformation rules are documented, scalable, and maintainable.
  • Improve performance, reliability, and usability of analytical workflows using modern engineering and BI best practices.
  • Continuously expand business, source system, platform, and reporting knowledge to accelerate problem-solving and improve analytical effectiveness.

What Makes Someone Successful in This Role
The strongest individuals in this role are not simply SQL developers, report builders, or dashboard creators. They are end-to-end problem solvers who can connect business needs, data engineering, analytics, and reporting into scalable solutions.
They:
  • Possess strong analytical curiosity and a desire to deeply understand how the business works.
  • Have hands-on experience with Databricks, modern data transformation, and analytical data engineering.
  • Have strong Power BI skills and know how to turn complex analysis into intuitive, executive-friendly dashboards and reporting.
  • Can connect disparate pieces of information into a complete, accurate, and actionable story.
  • Are comfortable working through ambiguity and incomplete requirements.
  • Ask thoughtful questions and challenge assumptions.
  • Take ownership of finding the right answer, not just the quickest answer.
  • Understand that trusted analytics begin with well-engineered, validated, and well-modeled data.
  • Can move seamlessly from raw data to business-ready insight and visualization.
  • Continuously build expertise in business processes, data lineage, system dependencies, and analytical modeling.
  • Translate complex technical findings into clear business recommendations and executive-ready outputs.
  • Demonstrate persistence, intellectual curiosity, and a passion for learning.
  • Balance speed with rigor, ensuring that solutions are both actionable and sustainable.

Qualifications
Required
  • Strong SQL development and data analysis experience.
  • Strong hands-on experience with Databricks for large-scale data processing, transformation, and analytics.
  • Experience designing and maintaining data pipelines, transformation workflows, and curated analytical datasets.
  • Strong experience with Power BI (PBI) for dashboard development, data modeling, visualization, and business reporting.
  • Strong understanding of data engineering concepts, including data lineage, data quality, transformation logic, and scalable data modeling.
  • Experience working with large and complex datasets across multiple systems.
  • Strong problem-solving and analytical skills.
  • Ability to investigate and reconcile data across multiple platforms and source systems.
  • Experience supporting end-to-end analytics, from raw data ingestion to reporting, dashboarding, and insight generation.
  • Excellent communication and stakeholder management skills.
  • Ability to translate business questions into technical, analytical, and reporting solutions.

Preferred
  • Experience with Snowflake, Python, Spark, Terraform, or enterprise data warehouse environments.
  • Experience with modern cloud-based analytics platforms and data engineering frameworks.
  • Knowledge of telecommunications, customer, revenue, operational, or financial data domains.
  • Experience working with cross-functional teams in a fast-paced environment.
  • Familiarity with KPI governance, executive reporting, and semantic layer design.

Our Philosophy
Databricks, data engineering capability, Power BI expertise, analytical curiosity, and business understanding determine your success.
The best people in this role become trusted advisors because they understand the business, understand the data, and know how to engineer scalable solutions and deliver trusted insights through effective reporting. They do not simply build reports-they build reliable data foundations, create meaningful visualizations, uncover insights, solve complex problems, and help the organization make better decisions through end-to-end analytics

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