Data Analyst (Hybrid)
Data Analyst (Hybrid)
Posted on :
15-08-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
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 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:
Skills:
Skill Required/Desired Amount of Experience 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 Desired 3 Years Proficiency in SQL and Python for developing queries data transformations and interactive dashboards 3 Years Experience with techniques like dimensional modeling entity-relationship modeling normalization/denormalization or Data Vault 3 Years Excellent communication skills with proven ability to collaborate with cross-functional teams and translate business needs into technical solutions 5 Years Databricks Data Analyst Associate Certification Desired
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 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:
Required Experience:
Senior IC
Employment Type
Contract
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
