Databricks Data Analyst

Datanet Inc
Clayton, NC, United States
14 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Microsoft Azure Data Validation Data Governance Python (Programming Language) Power BI Azure Data Lake Software Deployment SQL Databases Azure Data Factory Powerquery Pyspark
+4 more
Data Analytics Data Management Powerapps Databricks

Job description

We are seeking an experienced Databricks Data Analyst with strong Power BI skills to support data analytics and business intelligence initiatives. The ideal candidate will work with business stakeholders and technical teams to analyze data, develop reliable datasets, build dashboards, and deliver actionable insights using modern cloud data platforms., * Gather and translate business requirements into data and reporting solutions.

  • Use Databricks to access, analyze, prepare, and transform datasets.
  • Develop and maintain Power BI dashboards, reports, visualizations, and semantic models.
  • Perform data modeling, data validation, and quality checks.
  • Develop Power Query transformations and support SQL-based analytics.
  • Collaborate with business stakeholders, data engineers, and product teams.
  • Support testing, documentation, user acceptance testing, and production deployment.
  • Ensure reporting solutions meet data quality, governance, and business requirements.

Requirements

  • Bachelor’s degree in a relevant field and 4+ years of data analyst experience.
  • Hands-on experience with Databricks and Power BI .
  • Strong knowledge of Power Query, data modeling, and SQL analytics.
  • Experience working with modern cloud data platforms, preferably Microsoft Azure.
  • Strong analytical, problem-solving, communication, and stakeholder management skills., * Experience with Databricks SQL, notebooks, and lakehouse environments.
  • Knowledge of Azure Data Lake, Azure Data Factory, or related Azure services.
  • Exposure to Python, PySpark, or Power Apps.
  • Familiarity with data governance, Agile delivery, and BI solutions from requirements through production deployment.

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