Job description

Position: Azure Data Analyst with Strong Exp in Azure Databricks || Hybrid work in Raleigh, NC || Need Local Only Duration : 12+ month Location : Hybrid work in Raleigh, NC (Local Only) Visa : Open Note: Linkedin profile is a must. Must be local to NC state Candidate needs to come on site (Raleigh, NC) to bring the laptop on day one. • *All candidates must be local to the Triangle region.** • *This position may require up to 3 days per week at a Triangle area office for return to office in addition to various in-person responsibilities, including meetings.** Skill Required / Desired Amount of Experience Hands-on experience designing, deploying, and managing Azure Databricks architecture in enterprise environments Required 3 Years Strong understanding of data science concepts, including statistical learning and machine learning algorithms Desired 3 Years Proficiency in SQL and Python for developing queries, data transformations, and interactive dashboards Required 3 Years Experience with techniques like dimensional modeling, entity-relationship modeling, normalization/denormalization, or Data Vault Required 3 Years Excellent communication skills with proven ability to collaborate with cross-functional teams and translate business needs into technical solutions Required 5 Years Databricks Data Analyst Associate Certification Desired Job Description: NCDIT-T Web Systems is seeking a skilled Data Analyst with strong experience in Azure Databricks to support the creation of data aggregations, dashboards, and reports. NCDIT-T Web Systems is seeking a skilled Data Analyst with strong experience in Azure Databricks to support the creation of data aggregations, dashboards, and reports. 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 • Develop and implement predictive models, algorithms, and advanced analytical tools to address specific business challenges • Databricks Data Analyst Associate Certification is preferred

Requirements