Databricks Data Analyst – Power BI & Azure

About the Job

Job Title: Databricks Data Analyst – Power BI & Azure

Location: Clayton, NC (Onsite)

Employment Type: Contract

Duration: 6 Months (Likely Extension)

Schedule: Monday–Friday, Onsite

Status: Accepting Candidates

About the Role

We are seeking a skilled Databricks Data Analyst with strong hands-on experience in Power BI and Databricks to support data analysis, transformation, and business intelligence initiatives. The ideal candidate will have experience developing dashboards, preparing datasets, building data models, and collaborating with business and technical teams to deliver reliable, end-to-end BI solutions.

Key Responsibilities

• Analyze, access, prepare, and transform datasets using Databricks.
• Develop and maintain Power BI dashboards, reports, semantic models, and visualizations.
• Use Power Query for data preparation and transformation.
• Perform data modeling, data quality checks, and source-to-report mapping.
• Gather and document business requirements and translate them into BI solutions.
• Collaborate with business stakeholders, data engineers, and product teams.
• Conduct testing, data validation, documentation, and production deployment.
• Support data analysis and reporting solutions within modern cloud data platforms.

Required Qualifications

• Bachelor's degree and 4+ years of Data Analyst experience with Databricks.
• Strong hands-on experience with Power BI, including dashboards, reports, semantic models, and visualizations.
• Experience accessing, analyzing, preparing, and transforming data using Databricks.
• Proficiency in Power Query and business intelligence data preparation.
• Understanding of cloud data platforms, particularly Microsoft Azure.
• Experience with data modeling, data quality rules, source-to-report mapping, and requirements gathering.
• Strong communication and collaboration skills.

Preferred Qualifications

• Knowledge of Databricks SQL.
• Experience with Azure Data Lake and Azure Data Factory.
• Familiarity with Python or PySpark.
• Experience supporting BI testing, validation, and production deployments.

Compensation

• $50–$55/hour (W-2)
• Final compensation within the posted range will depend on qualifications, experience, and interview outcomes.