XPO India Shared Services

GENERAL 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.

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.

ESSENTIAL DUTIES AND RESPONSIBILITIES

(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

SUPERVISORY RESPONSIBILITIES

No direct supervisory responsibilities; may mentor junior analysts or support cross-functional project teams

DECISION-MAKING RESPONSIBILITIES

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

EDUCATION / EXPERIENCE

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

Be part of something big

Senior Analyst, Business Intelligence