Data & Analytics Business Analyst

Looking only New York City area candidate Email :- [Upgrade to PRO to see contact] We have an open position for Senior Data & Analytics Business Analyst. Please find the JD below. Job Description: Senior Data & Analytics Business Analyst Experience Required 8–10 years (7+ years mandatory in Analytics) Role Overview The Senior Data & Analytics Business Analyst will act as a critical bridge between business stakeholders and data teams. This role focuses on understanding business needs, translating them into data-driven solutions, and delivering meaningful insights through analytics, reporting, and visualization. The ideal candidate will have strong experience in business analysis, data analytics, KPI definition, and enterprise reporting. Key Responsibilities Business Analysis & Stakeholder Engagement Gather, analyze, and document business requirements related to data, reporting, and analytics initiatives Partner with business stakeholders to understand operational challenges and identify data-driven opportunities Translate business requirements into clear functional and technical specifications Conduct gap analysis and impact assessments for data, reporting, and system changes Facilitate stakeholder meetings, workshops, and requirement review sessions Data Analysis & Insights Analyze large and complex datasets to identify trends, patterns, and actionable insights Define, track, and monitor key performance indicators (KPIs) and business metrics Support ad-hoc data analysis requests and executive-level reporting Validate data accuracy, completeness, and consistency across multiple data sources Perform root-cause analysis to support strategic and operational decision-making Reporting & Visualization Design, develop, and maintain dashboards and reports using tools such as Power BI, Tableau, and Excel Create intuitive, user-friendly visualizations that clearly communicate insights to business users Enhance and optimize existing reports based on evolving business requirements Ensure reports adhere to performance, usability, and data governance standards Data Governance & Quality Support data governance initiatives, including data definitions, policies, and standards Collaborate with data engineering and data quality teams to resolve data issues Define business rules and data validation requirements Assist with metadata management, documentation, and data lineage activities