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

As of Aug 20, 2026, the average yearly pay for full time power bi data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a full time Power BI data analyst?

Full Time Power BI Data Analysts are professionals who work with data to create reports, dashboards, and visualizations using Microsoft Power BI. They gather, process, and analyze data to help organizations make informed business decisions. Their role typically involves transforming raw data into meaningful insights, ensuring data accuracy, and collaborating with stakeholders to meet reporting needs. As full-time employees, they work regular business hours and are often part of larger analytics or business intelligence teams.

What are the key skills and qualifications needed to thrive as a full time Power BI data analyst?

To thrive as a Full Time Power BI Data Analyst, you need strong analytical skills, proficiency in data modeling, and a solid understanding of statistics, typically supported by a degree in computer science, statistics, or a related field. Expertise in Power BI, SQL, and data visualization tools, along with familiarity with databases and possibly DAX or Python, is highly valued. Excellent communication, problem-solving abilities, and attention to detail help you translate complex data into actionable insights for stakeholders. These skills are vital for producing accurate, insightful reports that drive informed business decisions.

What are some common challenges a full time Power BI data analyst might face when working with diverse data sources?

A Full Time Power BI Data Analyst often encounters challenges when integrating and transforming data from multiple sources, such as SQL databases, Excel, and cloud platforms. Ensuring data accuracy and consistency can require significant attention to detail, especially when sources have varying formats or incomplete records. Effective communication with stakeholders is also crucial, as understanding business requirements helps in designing meaningful dashboards and reports. Adapting quickly to new data tools and technologies is key to overcoming these challenges and delivering actionable insights.

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Analyst, Enterprise Data

McLeod Software

Birmingham, AL • On-site

Full-time

Re-posted 8 days ago


Job description

Job Summary:
McLeod Software is a company that values its employees as its greatest competitive advantage. They are seeking an Enterprise Data Analyst responsible for designing and developing data architecture and performing data analysis to support business decision-making across the organization.
Responsibilities:
• Design, implement, and maintain data pipelines and ETL processes to support data reporting and dashboards.
• Organize, model, and store raw data in our data warehouse and data lake.
• Analyze and interpret data using statistical methods and tools.
• Create and maintain reports, dashboards, and visualizations to communicate findings to stakeholders
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Ensure the reliability, efficiency, and quality of data by developing and implementing processes for data cleaning, transformation, and validation.
Qualifications:
Required:
• Bachelor's degree and 2+ years of experience in data analysis, interpretation, and visualization; or an equivalent combination of education and experience, including 6+ years of experience in data analysis, interpretation, and visualization.
• Advanced proficiency with Microsoft Office Suite.
• Working knowledge of at least one major programming language (e.g., Python, C#, Java, or Scala) required.
• Proficiency with statistical analysis and data visualization tools (e.g., Tableau, Power BI, Looker) required.
• Familiarity with big data technologies and platforms such as Delta Lake, Spark, and Databricks required.
• Experience with SQL and relational databases is highly preferred.
• Knowledge of schema design, data modeling, and data analysis is preferred.
• Familiarity with data orchestration tools such as Dagster, Airflow, or Prefect is preferred.
Preferred:
• Experience with enterprise software or the transportation and logistics industry is a plus.
• Experience with SQL and relational databases is highly preferred.
• Knowledge of schema design, data modeling, and data analysis is preferred.
• Familiarity with data orchestration tools such as Dagster, Airflow, or Prefect is preferred.
• Preferred certifications in Azure, Power BI, Data Analytics, or Data Engineering include, but are not limited to: Azure Data Engineer Associate, Microsoft Power BI Data Analyst (PL-300), Microsoft Azure Fundamentals, DataCamp Data Engineer Certification, DataCamp Data Analyst Certification, DataCamp Data Scientist Certification, Other related cloud, analytics, or data engineering certifications.
Company:
McLeod Software is a provider of trucking software, transportation dispatch, accounting, operations & brokerage management software. Founded in 1985, the company is headquartered in Birmingham, USA, with a team of 501-1000 employees. The company is currently Late Stage.