Senior Business Intelligence Analyst

XPO India Shared Services; Hyderabad; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

XPO India Shared Services is seeking a Business Intelligence Senior Analyst in Hyderabad to partner with stakeholders, translate questions into KPIs, and deliver scalable dashboards and reports. The role blends data analysis, visualization, and business acumen to enable self-service analytics across the organization.

Responsibilities include engaging with domains, driving the BI lifecycle from requirements to deployment, ensuring data quality, and communicating insights clearly to leadership.

Qualifications

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

Responsibilities

• Partner with stakeholders to identify reporting and analytics needs aligned with objectives.
• Conduct discovery sessions, workshops, and interviews to gather requirements.
• Translate business questions into KPIs and data definitions.
• Design, develop, and maintain interactive dashboards and reports using BI tools.
• Analyze large datasets to identify trends and opportunities.
• Validate data accuracy and collaborate with data engineering on pipelines and models.
• Present findings to leadership with clear, business-friendly language.

Skills

Stakeholder engagement

Data analysis

Dashboard design

Data management

Data governance

BI process improvement

Executive communication

Education

Bachelor's degree in Data Analytics / CS / IS / Business / Engineering / Mathematics

Tools

Looker

Tableau

Power BI

Job description

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)