Business Intelligence Analyst

OneSource Virtual (OSV) has worked exclusively with Workday customers since 2008 to deliver compliant, in-tenant technology and expert services to automate the administrative, transactional tasks of payroll, taxes, earned wage access, accounts payable, and benefits. With over 1,500 customers, 92% retention, and $225+ billion in treasury movement annually, OSV helps organizations maximize their Workday investment and operate it with confidence. Payroll, benefits, and finance solutions — all in one place. 

Overview

As a Business Intelligence Analyst, you will transform the data foundations built by our data engineering team into actionable business insights that drive strategic decision-making across the organization. You'll serve as the critical link between technical data infrastructure and business value, creating compelling visualizations, uncovering hidden patterns, and delivering insights that directly impact operational efficiency and competitive advantage. This role combines analytical expertise with business acumen to translate complex data into clear narratives that influence executive decisions and shape organizational strategy.

Key Responsibilities

1. Business Analytics & Insight Generation (35%)

• Analyze complex datasets prepared by data engineering team to identify trends, patterns, and opportunities for business improvement
• Conduct deep-dive analyses into business performance metrics, uncovering root causes behind KPI movements and operational anomalies
• Develop predictive and prescriptive analytics that anticipate future business needs and recommend proactive actions
• Partner with business stakeholders to understand their analytical needs and translate them into actionable data requirements for the engineering team
• Create data-driven business cases and ROI analyses for proposed initiatives and process improvements

2. Visualization & Dashboard Development (30%)

• Design and develop interactive Power BI dashboards and reports that tell compelling data stories
• Create self-service analytics solutions that empower business users while maintaining governance standards
• Build executive-level scorecards that provide at-a-glance views of organizational health and performance
• Implement advanced visualization techniques that make complex data accessible to non-technical audiences
• Establish visualization best practices and standards that ensure consistency across enterprise reporting

3. Stakeholder Partnership & Requirements Translation (15%)

• Serve as the primary analytics consultant for assigned business units, building deep domain expertise
• Facilitate discovery sessions to uncover the "why" behind reporting requests and identify underlying business questions
• Translate business requirements into technical specifications for data engineers, ensuring data solutions meet analytical needs
• Present findings and recommendations to leadership, using storytelling techniques to drive action
• Build trusted advisor relationships with business leaders, becoming their go-to resource for data-driven decision support

4. Data Quality & Governance Collaboration (10%)

• Partner with data engineers to establish data quality metrics and monitoring processes
• Identify data quality issues through analysis and work with engineering team on resolution
• Document business rules and data definitions to ensure consistent interpretation across the organization
• Contribute to data governance initiatives by defining business-critical data elements and their acceptable use
• Validate data pipeline outputs against business expectations before production deployment

5. Advanced Analytics & Innovation (10%)

• Explore advanced analytical techniques including statistical analysis, forecasting, and basic machine learning applications
• Collaborate with data engineers on proof-of-concepts for new analytical capabilities
• Research industry best practices and emerging BI trends to continuously improve analytical offerings
• Mentor business users on data literacy and self-service analytics capabilities
• Contribute to the evolution of the organization's analytics strategy and roadmap

Required Qualifications

• Bachelor's degree in Business Analytics, Information Systems, Statistics, Mathematics, Business Administration, or related field
• 2-4 years of experience in business intelligence, data analytics, or related analytical roles
• Proven ability to translate complex data findings into clear business recommendations
• Strong proficiency in SQL and data visualization tools, particularly Power BI
• Experience working with data warehouse/lakehouse environments and understanding of data modeling concepts
• Demonstrated success in building stakeholder relationships and influencing business decisions through data
• Excellent presentation and storytelling skills with ability to communicate with both technical and executive audiences
• Critical thinking skills with ability to challenge assumptions and ask probing questions

Technical Skills

Required:

• Analytics Tools: Power BI (advanced), Excel (advanced including Power Query/Power Pivot)
• Languages: SQL (advanced), DAX, basic Python or R beneficial
• Platforms: Microsoft Fabric, experience with data lakehouses
• Concepts: Statistical analysis, data modeling basics, KPI development, dashboard design principles

Preferred:

• Additional Tools: Azure Analysis Services, Tableau, experience with Azure DevOps for report deployment
• Advanced Analytics: Basic machine learning concepts, forecasting techniques, A/B testing
• Business Domains: Experience in specific business functions (finance, operations, sales, supply chain)

Career Progression

This role offers multiple career paths including:

• Technical Track: Senior BI Analyst → BI Architect → Analytics Platform Owner
• Business Track: Senior BI Analyst → Business Analytics Manager → Director of Analytics
• Cross-functional: Transition opportunities to Data Engineering or Data Science roles for those interested in expanding technical depth

Key Differentiators from Data Engineering Roles

While data engineers focus on building the infrastructure and pipelines that move and transform data, the Business Intelligence Analyst focuses on:

• Deriving meaningful insights from prepared data
• Creating user-facing analytical solutions
• Direct business stakeholder engagement and consultation
• Translating technical capabilities into business value
• Storytelling and influence through data

Collaboration with Data Engineering Team

The BI Analyst works hand-in-hand with:

• Junior Data Engineers: Providing clear requirements for data extraction and basic transformations
• Data Engineers: Collaborating on data model design and validation of ETL/ELT outputs
• Senior Data Engineers: Partnering on solution architecture to ensure analytical needs are considered in platform design

#LI-REMOTE

You are encouraged to learn and share ideas when you join the OneSource Virtual team. We reward innovative thinking, fresh perspectives, creative collaboration, and hard work. As an organization experiencing routine strategic growth, we are always on the lookout for intelligent, talented, and forward-thinking professionals to join our team. OSV employees enjoy a values-based culture, upward mobility, and professional development with opportunities of all kinds.