> Markdown version of [/jobs/ext/4579861-data-analyst-power-bi-160319](https://www.wearedevelopers.com/jobs/ext/4579861-data-analyst-power-bi-160319). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - Power BI - 160319 - **Company:** ZP Group - **Location:** Columbia, MD, United States (Remote available) - **Experience:** Experienced - **Salary:** $105,000 - $115,000 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Data Analysis, Microsoft Azure, Data Warehousing, Relational Databases, DevOps, Github, Revision Control Systems, Python (Programming Language), Microsoft SQL Server, Power BI, SQL Databases, Scripting, Pandas, Information Technology, Databricks - **Published:** November 5, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-analyst-power-bi-160319-columbia-md--08ebf641-011a-43a5-a5b9-562e2bf03dc9 ## About the Role Data Analysis, Power BI, Statistics, Performance Metrics, Analysis Skills, Python Programming/Scripting Language, Microsoft Windows Azure, DevOps, GitHub, Data Modeling, quality/service improvement initiatives. Adhere to departmental policies, procedures, quality standards, and regulatory requirements. Perform additional duties as assigned. Qualifications: Education & Training Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field. Experience 3+ years of professional experience in data analysis or a related field. Knowledge, Skills & Abilities Strong data modeling and analysis skills, including experience with Databricks, Python/Pandas, and SQL. Proficiency working with large relational databases (Microsoft SQL Server preferred). Experience with version control tools such as GitHub or Azure DevOps. Advanced Power BI skills, including building dashboards, visuals, and DAX measures. Strong Excel proficiency. Excellent written and verbal communication skills, with the ability to translate complex data into clear insights for diverse audiences. Compensation: & Benefits Salary: $105,000 - $115,000 annually. Work Environment ## Description Responsibilities: Identify, define, and document key performance metrics for digital products, ensuring consistent and repeatable KPI definitions. Clean, model, and prepare data from the enterprise data warehouse and other primary sources using SQL, Python/Pandas, and Databricks. Develop, maintain, and optimize Power BI dashboards and visualizations that clearly communicate product performance to stakeholders. Respond to ad-hoc reporting requests by gathering and analyzing data to answer business and operational questions. Communicate analytical findings through clear written summaries, presentations, and discussions with product, clinical, and operational teams. Collaborate with data scientists and analytics staff to operationalize data workflows and support modeling efforts. Partner with product teams to understand business needs, identify opportunities for improvement, and provide data-driven recommendations. Participate in departmental meetings, cross-functional committees, and