NCDIT - Data Analyst

This is a hybrid position. The manager is unsure how often he will need the contractor onsite, but the maximum requirement would be three days a week on Tuesday, Wednesday, and Thursday.

Conduct comprehensive data analysis, create data mappings, develop dashboards, and ensure data quality and integrity

• Leverage Spark SQL within Databricks to query and analyze large datasets, writing efficient and complex SQL queries
• Collaborate closely with data engineers to design and deliver high-quality data products
• Develop detailed data mappings to support the integration and transformation of data from diverse sources into structured, analysis-ready formats
• Design and build intuitive, informative dashboards using tools such as Power BI or Databricks' native visualization tools to effectively communicate insights
• Build Gold-layer data products to support custom-built dashboards, APIs, and UI tools
• Create clear and comprehensive documentation for data pipelines, mappings, models, and dashboard functionality
• Perform statistical analysis, data mining, and machine learning to uncover patterns, trends, and actionable insights

• Databricks and PySpark proficiency: hands-on experience working in the Databricks platform and using PySpark for data analysis and transformation.
  
  Required5
  
  Years
• Advanced Spark SQL: the ability to write efficient, complex queries to analyze large datasets within Databricks.
  
  Required5
  
  Years
• Data visualization and dashboarding:building clear, intuitive dashboards in Power BI and Databricks native visualization tools to communicate insightRequired5
  
  Years
• Data mapping and modeling: developing detailed mappings that integrate and transform dataRequired5
  
  Years
• Business requirements and stakeholder collaboration: gathering and developing business requirementsRequired5
  
  Years
• Data quality and analysis: conducting thorough data analysisRequired5
  
  Years