Data Analyst (Hybrid)

Job Title : Data Analyst (Hybrid)

Location : Raleigh, NC

Duration : 12+ Months

Job Description :

The Client 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

Skills : Skill

Required / Desired

Amount

of Experience

Hands-on experience designing, deploying, and managing Azure Databricks architecture in enterprise environments

Years

Strong understanding of data science concepts, including statistical learning and machine learning algorithms

Desired

Years

Proficiency in SQL and Python for developing queries, data transformations, and interactive dashboards

Years

Experience with techniques like dimensional modeling, entity-relationship modeling, normalization / denormalization, or Data Vault

Years

Excellent communication skills with proven ability to collaborate with cross-functional teams and translate business needs into technical solutions

Years

Databricks Data Analyst Associate Certification

Desired