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Databricks Data Analyst

Compunnel Inc.Clayton, NC🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationClayton, NC, United States
Stakeholder ManagementSQLDatabricksPythonAzurePower BIAgileData Analysis

Job description

Key Responsibilities
Partner with business stakeholders to gather, analyze, and document reporting, analytics, and data requirements
Explore and analyze data to identify trends, insights, data quality issues, and transformation opportunities
Utilize Databricks to access, prepare, transform, and analyze datasets for business intelligence and reporting needs
Design, develop, maintain, and optimize Power BI dashboards, reports, semantic models, and visualizations
Create and manage Power Query transformations to support data preparation and reporting solutions
Define data requirements, business rules, data quality standards, and mappings between source systems and reporting outputs
Support conceptual and technical data modeling initiatives for analytics and BI use cases
Contribute to Agile delivery processes, including backlog refinement, prioritization, and sprint execution
Collaborate with data engineers, business analysts, product owners, and technical teams to deliver end-to-end BI solutions
Participate in testing, validation, user acceptance testing (UAT), and deployment activities
Develop and maintain technical and functional documentation, including data models, report specifications, and dashboard user guides
Provide technical support and guidance to project teams and business users
Ensure BI solutions are scalable, reliable, well-documented, and aligned with governance and quality standards
Required Qualifications
4+ years of experience
Bachelor's degree in a related field
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Microsoft Azure Data Fundamentals (DP-900)
Microsoft Azure Data Engineer Associate (DP-203)
Skills
Databricks
Power BI
Power Query
Cloud Data Platforms
Microsoft Azure Data Services
Microsoft Power Platform
Python
SQL
Business Requirements Gathering
Data Analysis
Data Quality Management
Data Modeling
Agile Delivery
User Acceptance Testing (UAT)
Technical Documentation
Stakeholder Management
Data Governance
End-to-End BI Solution Delivery
Schedule
Start date: 2026-12-07

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