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
- Solid understanding of data warehousing concepts (e.g., star schema, dimensional modelling)
- Experience across the full BI lifecycle (requirements, design, development, testing, deployment, maintenance)

📌 Senior Business Intelligence Analyst (Hyderabad)
🏢 XPO INDIA SHARED SERVICES
📍 Hyderabad