Senior Business Intelligence Analyst

The Business Intelligence (BI) Senior Analyst partners with business stakeholders to transform data into actionable insights that drive strategic and operational decision-making. This role blends data analysis, visualization, and business acumen to design scalable reporting solutions, ensure data quality, and enable self-service analytics across the organization.

1. 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
• Prepare executive-level summaries, scorecards, and performance reportsRole & responsibilities

EDUCATION / EXPERIENCE

• Bachelors degree in Data Analytics, Computer Science, Information Systems, Business, Engineering, Mathematics, or related field
• 6+ years of experience in Business Intelligence, Data Analytics, or a related role
• Strong understanding of data warehousing concepts (e.g., star schema, dimensional modelling)
• Experience across the full BI lifecycle (requirements, design, development, testing, deployment, maintenance)