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Data Business Analyst

Location: Hybrid - 3 Days Onsite in New York

Required Skills and Qualifications

• Proficiency in SQL and proven experience designing and implementing data models and schemas
• Strong understanding of data warehousing concepts (dimensional modeling, star/snowflake schemas)
• Hands-on experience with Power BI, including dashboard development and UX-focused data visualization
• Proven ability to transform and optimize large, raw datasets into structured, analytics-ready formats
• ETL experience required; experience using Alteryx is preferred but not required
• Excellent communication skills with the ability to effectively engage and present to project stakeholders
• Strong analytical thinking and problem-solving abilities with attention to detail

Key Responsibilities

• Design, develop, and maintain data models and schemas to support business intelligence and analytics initiatives
• Leverage SQL to query, transform, and optimize large datasets for reporting and analysis
• Build and enhance Power BI dashboards and reports, applying UX and data visualization principles to ensure clarity and usability
• Implement and manage ETL processes to ensure data accuracy, consistency, and reliability across systems
• Collaborate with business stakeholders to gather requirements, define KPIs, and deliver actionable insights that drive decision-making
• Apply data warehousing concepts such as dimensional modeling and star/snowflake schemas to structure data efficiently
• Partner with data engineers, analysts, and business teams to ensure seamless data integration and reporting workflows
• Troubleshoot data quality issues, identify process improvements, and ensure data governance standards are upheld

Preferred Experience

• Experience working in cross-functional data environments
• Familiarity with other data visualization or ETL tools is a plus
• Background in business analysis, data engineering, or analytics consulting