Senior Business Data Analyst (Emiratized Role)

Core Responsibilities • Gather, analyze, and document business and data requirements • Translate business questions into data, reporting, and analytics requirements • Define KPIs, metrics, and success measures aligned with business objectives • Perform data analysis and validation to support decision-making • Support data-driven initiatives, dashboards, and executive reporting Data & Analytical Skills • Strong SQL skills for data analysis and validation • Advanced skills in Excel and BI tools (Power BI, Tableau, Looker) • Experience with data visualization and storytelling • Ability to interpret trends, patterns, and anomalies in data Business & Domain Knowledge • Strong understanding of business processes and operating models • Ability to work with stakeholders to prioritize requirements • Experience writing business requirement documents (BRD) and functional specifications • Familiarity with Agile / Scrum delivery environments Data Governance & Quality • Understanding of data quality, data definitions, and business rules • Experience working with Data Owners and Data Stewards • Ability to define business data standards and glossaries Communication & Stakeholder Management • Strong communication and facilitation skills • Ability to bridge business, IT, and data teams • Comfortable presenting insights to senior leadership Education & Certifications • Bachelor’s degree in Business, Information Systems, Data, or related field CBAP, PMI-PBA, or data analytics certifications are a plus Experience • 3+ years of experience in business analysis, data analysis, or analytics • Proven experience translating business needs into data-driven insights • Experience working with enterprise data platforms and stakeholders Show more Show less

Core Responsibilities: Gather, analyze, and document business and data requirements; Translate business questions into data, reporting, and analytics requirements; Define KPIs, metrics, and success measures aligned with business objectives; Perform data analysis and validation to support decision-making; Support data-driven initiatives, dashboards, and executive reporting.