Senior Analyst, Business Intelligence

The BI Senior Analyst serves as a trusted advisor and liaison between business units and technical teams, translating business needs into data requirements, developing dashboards and data models, and promoting data literacy. The ideal candidate is highly analytical, detail-oriented, and experienced in modern BI tools, data warehousing concepts, and data governance practices., (Percentages reflect approximate allocation of time and may vary based on business needs.)

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 reports, * No direct supervisory responsibilities; may mentor junior analysts or support cross-functional project teams, * Exercises independent judgment in data analysis, reporting design, and prioritization of assigned work * Recommends data-driven decisions; final decisions typically made in collaboration with business leaders

• Bachelor’s 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)

CERTIFICATIONS (Preferred but not mandatory)

• Google Cloud certification (Data Engineer, Cloud Digital Leader, Generative AI Leader)
• Professional Certification on any reporting tools like Looker, Tableau, Power BI and Certified Data Analyst.
• Certified Business Analysis Professional (CBAP)
• GCP / AWS / Azure data certifications

JOB-RELATED COMPETENCIES

Analytical & Problem-Solving Skills

• Strong ability to interpret complex datasets and deliver actionable insights
• Advanced SQL skills and experience working with structured and semi-structured data
• Ability to connect business context with analytical outputs

Communication & Business Acumen

• Excellent verbal and written communication skills
• Ability to influence stakeholders and drive data-driven decision-making
• Skilled in data storytelling and presenting insights to non-technical audiences

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)

Time Management & Execution

• Ability to manage multiple projects and deadlines in a fast-paced environment
• Strong attention to detail with a commitment to data accuracy and integrity

Collaboration & Work Ethic

• Self-motivated and proactive
• Team-oriented with strong cross-functional collaboration skills
• Maintains confidentiality and handles sensitive data responsibly