Senior Data Analyst

PSR Associates Inc

  • Raleigh, NC
  • 1 day ago

    Highlights

    Required 7 Years Expertise in Azure Synapse Analytics, Azure Data Factory, and cloud data warehousing Required 4 Years Advanced SQL and PL/SQL skills, including query optimization, performance tuning, and indexing strategies Required 7 Years Hands-on experience with PySpark, Python, or Scala Required 6 Years Experience with data modeling, performance tuning, and cost optimization in Azure Required 4 Years Strong knowledge of Microsoft Entra ID, role-based access control (RBAC), and cloud security Required 3 Years Familiarity with Power BI semantic models and dataflows Required 3 Years Knowledge of Azure OpenAI or generative AI data integration Highly desired 3 Years Ability to organize, prioritize, and follow complex and/or detailed technical procedures Required 7 Years Experience with Agile (Scrum, Kanban, or SAFe) development Required 3 Years . This role transforms complex data into business insights and drives advanced analytics using Azure Synapse Analytics, Microsoft Fabric, and Azure AI services.

    Numbers & Facts

    LocationRaleigh, NC

    Description

    PSR Associates is a consulting and talent solutions firm that connects qualified IT professionals with great opportunities. Whether you're looking for a contract or permanent position, we can help you find the right fit for your skills and experience. We have a team of experienced recruiters who know the IT industry inside and out, and we work with you every step of the way to ensure a smooth and successful transition. PSR Connecting Talent, Crafting Success.

    Senior Data Analyst Position Description

    We are seeking a Senior Data Analyst to join our team. The selected candidate will work on a hybrid schedule consisting of onsite workdays in Raleigh, NC.


    Position Overview:

    We are seeking a Senior Data Analyst to help design, manage, and optimize enterprise data pipelines, data warehouses, and analytics solutions within Microsoft Azure. This role transforms complex data into business insights and drives advanced analytics using Azure Synapse Analytics, Microsoft Fabric, and Azure AI services.

    Key Responsibilities:

    • Design, build, and maintain robust enterprise ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, or PL/SQL procedures.

    • Manage and optimize Azure Synapse Analytics (SQL and Spark pools) and Microsoft Fabric Lakehouse.

    • Develop, test, and tune complex SQL and PL/SQL scripts, stored procedures, packages, and functions to support data integration.

    • Collaborate with business users to define analytical goals and build Power BI-ready datasets.

    • Integrate AI and machine learning insights using Azure Machine Learning and Azure OpenAI Service.

    • Enforce data governance, quality, and security via Microsoft Purview and Microsoft Entra ID.

    • Build cross-functional reporting, dashboards, and predictive analytics models.


    Required/Desired Skills:
    SkillRequired / DesiredAmount of Requested ExperienceYears/Months/ Etc.
    Experience in enterprise data analytics, engineering, and designing complex ETL workflows.Required7Years
    Expertise in Azure Synapse Analytics, Azure Data Factory, and cloud data warehousingRequired4Years
    Advanced SQL and PL/SQL skills, including query optimization, performance tuning, and indexing strategiesRequired7Years
    Hands-on experience with PySpark, Python, or ScalaRequired6Years
    Experience with data modeling, performance tuning, and cost optimization in AzureRequired4Years
    Strong knowledge of Microsoft Entra ID, role-based access control (RBAC), and cloud securityRequired3Years
    Familiarity with Power BI semantic models and dataflowsRequired3Years
    Knowledge of Azure OpenAI or generative AI data integrationHighly desired3Years
    Ability to organize, prioritize, and follow complex and/or detailed technical proceduresRequired7Years
    Experience with Agile (Scrum, Kanban, or SAFe) developmentRequired3Years

    *** Please note that any false information on your resume or application could lead to the offer being withdrawn or even termination after hire.***



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