Analyst, Business Intelligence - Hybrid

What you’ll need to succeed as an Analyst, Business Intelligence at XPO

Minimum qualifications:

• Bachelor's degree or equivalent related work or military experience
• 1 or more years of experience in business intelligence and data analytics

Preferred qualifications:

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

• 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 BigQuery, Snowflake, Redshift, 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)

 

About the Analyst, Business Intelligence job

Pay, benefits and more:

• Competitive compensation package
• Full health insurance benefits are available on day one
• Life and disability insurance
• Earn up to 15 days of PTO over your first year
• 9 paid company holidays
• 401(k) option with company match
• Education assistance
• Opportunity to participate in a company incentive plan

 

What you’ll do on a typical day:

Stakeholder Engagement & Requirements Gathering

• 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

Data Analysis & Insights Generation

• 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

Dashboarding & Data Visualization

• Design, develop, and maintain interactive dashboards and reports using BI tools (e.g.,  Looker, Excel, Tableau)
• 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

Data Management & Querying

• 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

Data Governance & Quality

• 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

Product & Process Improvement

• 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

Communication & Executive Reporting

• Present findings and recommendations to leadership in a clear and compelling manner