Data Analyst

Brilliant
McLean, United States of America
yesterday

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
McLean, United States of America

Tech stack

Agile Methodologies
Data analysis
JIRA
Cloud Database
Data Governance
Data Systems
R
Python
Performance Tuning
Tableau
Spark
Software Troubleshooting
PySpark
Collibra
Data Analytics
Data Management
Alteryx
Databricks

Job description

We are seeking a Senior Data Analyst to support enterprise data products and analytics initiatives within a cloud-based Data Lakehouse environment. The ideal candidate will have strong expertise in Databricks, PySpark, Python, data modeling, and data quality frameworks, along with experience supporting complex data platforms., * Support and troubleshoot data, application, and production issues

  • Develop and maintain scalable data products and data quality solutions
  • Perform technical analysis, root cause investigation, and performance optimization
  • Coordinate with business and technical teams to deliver data-driven solutions
  • Support testing, implementation, release activities, and process improvements
  • Maintain project documentation and provide end-user support

Requirements

  • 7+ years of Data Analysis and Data Modeling experience
  • Strong hands-on experience with Databricks, PySpark, Spark, and Python
  • Experience building data quality frameworks, dashboards, and automated data solutions
  • Experience with Databricks and Starburst/Tableau
  • Experience with Databricks and Collibra/Alteryx
  • Strong troubleshooting, performance tuning, and root-cause analysis skills
  • Experience working in Agile/SAFe environments using Jira
  • Excellent analytical, documentation, and stakeholder communication skills, Preferred: CBAP, Agile Analysis Certification, Tableau, Starburst, Collibra, Alteryx, R, sparklyr.

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