4+ years of experience as a Data Analyst with hands-on Databricks experience.
Strong expertise in Power BI for dashboard development and data visualization.
Proficient in data analysis, transformation, and business intelligence solutions.
Experience with modern cloud-based data platforms.
Strong analytical, problem-solving, and communication skills.
Ability to collaborate effectively in cross-functional Agile teams.
Responsibilities
Partner with business stakeholders to gather and document reporting and analytics requirements.
Analyze data to identify trends, insights, and quality issues.
Utilize Databricks for data preparation and analysis for BI needs.
Design and optimize Power BI dashboards and reports.
Create and manage Power Query transformations for data preparation.
Define data requirements and quality standards for reporting.
Support data modeling initiatives for analytics and BI use cases.
Contribute to Agile processes, including backlog refinement and sprint execution.
Collaborate with technical teams to deliver end-to-end BI solutions.
Participate in testing, validation, and deployment activities.
Develop and maintain documentation for data models and reports.
Provide technical support to project teams and business users.
Benefits
Opportunity to work with cutting-edge technologies like Databricks and Power BI.
Collaborative work environment with cross-functional teams.
Engagement in Agile delivery processes.
Professional development opportunities in cloud data platforms.
Exposure to a variety of data governance frameworks and standards.
Full Job Description
Job Summary
We are seeking a Databricks Data Analyst with strong Power BI expertise to support data-driven business initiatives by transforming business requirements into actionable datasets, reports, dashboards, and analytical insights. The ideal candidate will collaborate with business stakeholders, data engineers, product teams, and digital teams to design and deliver scalable BI solutions using Databricks, Power BI, and modern Microsoft Azure cloud data platforms.
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
Bachelor's degree in a related field.
Minimum 4+ years of experience as a Data Analyst with hands-on experience using Databricks.
Strong experience with Power BI, including dashboard development, reporting, and data visualization.
Proficiency in data analysis, data transformation, and business intelligence solutions.
Experience working with modern cloud-based data platforms.
Strong analytical, problem-solving, and communication skills.
Ability to work effectively with cross-functional teams in an Agile environment.
Preferred Qualifications
Experience with Databricks SQL, SQL Analytics, notebooks, and lakehouse architectures.
Knowledge of Azure Data Lake, Azure Data Factory, and other Microsoft Azure data services.
Experience with Microsoft Power Platform, particularly Power Apps.
Exposure to Python or PySpark for data analysis and transformation.
Familiarity with data governance frameworks, GDPR requirements, and documentation standards.
Experience delivering BI and analytics solutions from requirements gathering through production deployment.
Certifications (Preferred)
Microsoft Certified: Power BI Data Analyst Associate (PL-300).
