Data Analyst
*Local to the triangle region of NC, only please
*This is a hybrid position with 3 days/week onsite
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.
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
Preferred Certification:
- Databricks Data Analyst Associate Certification
Required Skills/Knowledge/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, Required 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
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