NCDIT - Data Analyst

Expert Technology Services

  • Raleigh, NC
  • 1 day ago

    Highlights

    Skill Required/Desired Years of Experience Databricks and PySpark Proficiency: Hands-on experience working in the Databricks platform and using PySpark for data analysis and transformation Required 5 Years Advanced Spark SQL: Ability to write efficient, complex queries to analyze large datasets within Databricks Required 5 Years Data Visualization and Dashboarding: Building clear, intuitive dashboards in Power BI and Databricks native visualization tools to communicate insights Required 5 Years Data Mapping and Modeling: Developing detailed mappings that integrate and transform data Required 5 Years Business Requirements and Stakeholder Collaboration: Gathering, analyzing, and developing business requirements with stakeholders Required 5 Years Data Quality and Analysis: Conducting thorough data analysis and ensuring data quality Required 5 Years In this role, you will be responsible for developing business requirements, supporting change management documentation, and actively collaborating with stakeholders to ensure alignment between data solutions and business needs.

    Numbers & Facts

    LocationRaleigh, NC

    Description

    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.

    The ideal candidate will have hands-on expertise with Databricks (PySpark) and visualization tools, including both Databricks native tools and Power BI. In this role, you will be responsible for developing business requirements, supporting change management documentation, and actively collaborating with stakeholders to ensure alignment between data solutions and business needs. You will work closely with a technical lead and participate in design discussions and planning with the broader development team.

    Key Responsibilities

    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

    Skill Matrix

    SkillRequired/DesiredYears of Experience
    Databricks and PySpark Proficiency: Hands-on experience working in the Databricks platform and using PySpark for data analysis and transformationRequired5 Years
    Advanced Spark SQL: Ability to write efficient, complex queries to analyze large datasets within DatabricksRequired5 Years
    Data Visualization and Dashboarding: Building clear, intuitive dashboards in Power BI and Databricks native visualization tools to communicate insightsRequired5 Years
    Data Mapping and Modeling: Developing detailed mappings that integrate and transform dataRequired5 Years
    Business Requirements and Stakeholder Collaboration: Gathering, analyzing, and developing business requirements with stakeholdersRequired5 Years
    Data Quality and Analysis: Conducting thorough data analysis and ensuring data qualityRequired5 Years

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