Data Analyst: Databricks, PySpark & BI Dashboards

OST Workforce; Wake Forest (NC); Hybrid; USD 60,000 - 90,000; Full time

Job summary

OST Workforce is seeking a Data Analyst for a hybrid role near Wake Forest, NC. The position involves hands-on Databricks (PySpark) work, creating dashboards, and ensuring data quality while aligning data solutions with business needs.

You will collaborate with a technical lead and stakeholders to support design discussions and planning with the broader development team. The ideal candidate has experience with Spark SQL, Power BI, and Databricks visualization tools, and can translate complex

Qualifications

• Proficient in Databricks PySpark for data analysis and transformation.
• Advanced Spark SQL for large dataset queries.
• Experience building dashboards with Power BI and Databricks visuals.
• Strong data mapping and modeling capabilities.
• Ability to gather business requirements and collaborate with stakeholders.
• Focus on data quality and thorough analysis.

Responsibilities

• Analyze data, create mappings, develop dashboards, ensure data quality.
• Query large datasets using Spark SQL in Databricks.
• Collaborate with data engineers to design data products.
• Create data mappings for data integration and transformation.
• Build dashboards using Power BI and Databricks visuals.
• Document data pipelines, mappings, models, and dashboards.
• Apply statistical analysis, data mining, and ML to uncover insights.

Skills

Databricks PySpark

Spark SQL

Statistical analysis

Data mining

Machine learning

Data quality

Stakeholder collaboration

Business requirements

Tools

Databricks

Power BI

Job description

OST Workforce is seeking a Data Analyst for a hybrid role near Wake Forest, NC. The position involves hands-on Databricks (PySpark) work, creating dashboards, and ensuring data quality while aligning data solutions with business needs.

You will collaborate with a technical lead and stakeholders to support design discussions and planning with the broader development team. The ideal candidate has experience with Spark SQL, Power BI, and Databricks visualization tools, and can translate complex