Data Analyst (Databricks)

Get AI-powered advice on this job and more exclusive features. DataStaff, Inc. is in need of a Data Analyst (Databricks) for a long-term contract opportunity with one of our direct clients in Raleigh, NC *This is a hybrid position, 3 days will be on-site Job Description: The Web Services group 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 Required Skills: 3 Years - Hands-on experience designing, deploying, and managing Azure Databricks architecture in enterprise environments 3 Years - Strong understanding of data science concepts, including statistical learning and machine learning algorithms 3 Years - Proficiency in SQL and Python for developing queries, data transformations, and interactive dashboards 3 Years - Experience with Data Modeling paradigms including Conceptual, Logical, and Physical Data Models and understand techniques like dimensional modeling, entity-relationship modeling, normalization / denormalization, or Data Vault 5 Years - Excellent problem-solving and communication skills; proven ability to collaborate with cross-functional teams and translate business needs into technical solutions Preferred Certification: Databricks Data Analyst Associate Certification This opportunity is available on a corp to corp basis or as a W2 position with a competitive benefits package . DataStaff, Inc. offers medical, dental and vision coverage options as well as paid vacation, sick and holiday leave. As many of our opportunities are long-term, we also have a 401K program available for employees after 6 months. Seniority level Seniority level Not Applicable Employment type Employment type Contract Job function Job function Information Technology Industries Staffing and Recruiting Referrals increase your chances of interviewing at DataStaff, Inc. by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Data Analyst” roles. Raleigh, NC $82,852.00-$106,675.50 8 months ago Clinical Data Analyst, PRO/COA Psychometrics Business Intelligence Analyst II *hybrid* Cary, NC $85,000.00-$120,750.00 5 days ago Chapel Hill, NC $45.00-$50.00 21 hours ago Durham, NC $110,000.00-$150,000.00 2 weeks ago Associate Quality Control Analyst (Part Time) Senior Business Intelligence & Data Analyst We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr DataStaff, Inc.