Data Analyst with Min 10yrs exp (Webcam or In Person Interview)(HYBRID_only local to North Carolina)

Advanced American Technologies, Inc

  • 3700 Wake Forest RdRaleigh NC, NC
  • 3 days ago

    Highlights

    Required 5 Years Data visualization and dashboarding: building clear, intuitive dashboards in Power BI and Databricks' native visualization tools to communicate insight Required 5 Years Data mapping and modeling: developing detailed mappings that integrate and transform data Required 5 Years Business requirements and stakeholder collaboration: gathering and developing business requirements Required 5 Years Data quality and analysis: conducting thorough data analysis Required 5 Years Skill Matrix Experience with Business workflow processes Required / Desired Amount of Experience Years of Expe Years rience Databricks and PySpark proficiency: hands-on experience working in the Databricks platform and using PySpark for data analysis and transformation.

    Numbers & Facts

    Location3700 Wake Forest RdRaleigh NC, NC

    Description

    We are looking for Data Analyst (Min 5+yrs Exp) HYBRID (Either Webcam Interview or In Person Interview)
    POSITION DESCRIPTION
    DIRECT CLIENT Position
    Number of positions: 1
    Length: 12Months +
    Work Address: NC 27609
    Immediate Interviews Either Webcam Interview or In Person Interview
    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
    Candidates must have ALL the "Required" skills in order to be considered for the position. "Desired" or "Highly Desired" skills are a PLUS but may NOT be required.
    Skill Matrix
    Experience with Business workflow processes
    Required / Desired
    Amount of Experience
    Years of Expe Years rience
    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: the 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 insight
    Required
    5
    Years
    Data mapping and modeling: developing detailed mappings that integrate and transform data
    Required
    5
    Years
    Business requirements and stakeholder collaboration: gathering and developing business requirements
    Required
    5
    Years
    Data quality and analysis: conducting thorough data analysis
    Required
    5
    Years

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