Sr Business Intelligence ( Data Analyst)

. Stakeholder Engagement & Requirements Gathering (20%)

• Partner with business stakeholders to identify reporting and analytics needs aligned with strategic objectives
• Conduct discovery sessions, workshops, and interviews to gather and document requirements
• Translate business questions into technical specifications, KPIs, and data definitions
• Act as the primary BI point of contact for assigned business domains

2. Data Analysis & Insights Generation (25%)

• Analyze large, complex datasets to identify trends, patterns, and opportunities
• Perform exploratory data analysis and root cause investigations
• Deliver actionable insights and recommendations to improve business performance
• Apply statistical methods and analytical techniques where appropriate

3. Dashboarding & Data Visualization (25%)

• Design, develop, and maintain interactive dashboards and reports using BI tools (e.g., Looker, Tableau, Power BI)
• Ensure visualizations are intuitive, scalable, and aligned with best practices in data storytelling
• Support self-service BI by enabling users with governed datasets and reusable dashboards

4. Data Management & Querying (15%)

• Extract, transform, and analyze data from data warehouses and multiple sources using SQL and other querying tools
• Validate data accuracy, consistency, and completeness across systems
• Collaborate with data engineering teams on data pipelines, data models, and ETL processes

5. Data Governance & Quality (5%)

• Support data governance initiatives including data definitions, lineage, and cataloging
• Ensure compliance with data standards, security policies, and regulatory requirements
• Identify and resolve data quality issues and implement controls to prevent recurrence

6. Product & Process Improvement (5%)

• Evaluate internal and external data products to identify opportunities for innovation and efficiency
• Participate in product development lifecycle (Agile ceremonies, backlog grooming, sprint planning)
• Recommend enhancements to BI tools, data architecture, and reporting frameworks

7. Communication & Executive Reporting (5%)

• Present findings and recommendations to leadership in a clear and compelling manner
• Translate complex technical concepts into business-friendly language

Technical & BI Skills

• Proficiency in BI tools (Looker, Tableau, or similar)
• Strong SQL skills; familiarity with Python or R is a plus
• Experience with data warehouses (e.g., Google Big Query, MS SQL, Snowflake, Oracle, Azure Synapse)
• Understanding of ETL/ELT processes and data pipeline concepts
• Familiarity with version control (e.g., Git) and Agile methodologies
• Familiarity with LLMs (Gemini, Claude)