Business Intelligence Analyst II

Quick Facts

• Role: Business Intelligence Analyst II

Description

Business Intelligence Analyst II will partner with stakeholders across Sales, Customer Success, Finance, Operations, Product, and other business functions to develop reporting solutions, dashboards, metrics, and analytics to understand performance, identify opportunities, and enable informed decision-making. Using SQL, Power BI, and modern data modeling practices, you will build and maintain trusted data products across their lifecycle, including reporting assets and KPI frameworks that support business operations and strategic initiatives.

Responsibilities

• Develop, maintain, and enhance Power BI dashboards, scorecards, and reporting solutions.
• Own and evolve reporting products supporting commercial, customer success, finance, operations, product, and strategic initiatives.
• Analyze business performance and operational trends to identify risks, opportunities, and actionable insights.
• Translate stakeholder requirements into scalable reporting solutions and KPI frameworks.
• Prepare executive-ready analyses, presentations, and recommendations.
• Leverage modern analytics, automation, and AI-enabled technologies to improve reporting efficiency and business outcomes.
• Design, develop, and maintain reporting datasets, semantic models, and curated analytics assets.
• Use SQL and modern data transformation frameworks to build scalable and maintainable analytics solutions.
• Apply data modeling, validation, and documentation best practices to ensure reporting accuracy and reliability.
• Establish and maintain trusted KPI definitions, reporting methodologies, and governance standards.
• Partner with business and technical teams to improve data quality, consistency, and transparency.
• Support governed data products and reporting standards.
• Partner with business leaders to understand objectives, prioritize analytics needs, and identify improvement opportunities.
• Facilitate requirements gathering and translate business needs into analytical and technical solutions.
• Drive continuous improvement of reporting products through stakeholder feedback and evolving requirements.
• Share expertise and best practices for high-quality reporting, dashboard design, and data literacy.
• Support cross-functional initiatives that improve decision-making, operational efficiency, and business performance.

Required Qualifications

• Bachelor's degree in Business Analytics, Information Systems, Computer Science, Data Science, Statistics, Economics, Mathematics, Finance, or a related field; or equivalent relevant experience.
• 5+ years of experience in business intelligence, analytics, reporting, or a related field.
• Strong SQL skills and experience developing reporting and analytical solutions using enterprise data.
• Demonstrated experience developing and maintaining Power BI dashboards and semantic models.
• Experience partnering with stakeholders to gather requirements and translate business needs into analytical solutions.
• Experience defining, calculating, and governing business KPIs and metrics.
• Strong analytical, problem-solving, and communication skills; ability to present insights to both technical and business audiences.
• Legal authorization to work in the U.S. required; no visa sponsorship.

Preferred Qualifications

• Experience supporting SaaS, software, healthcare technology, or subscription-based businesses.
• Experience developing analytics and reporting for commercial, customer success, finance, or operations teams.
• Experience reporting on sales funnel performance, bookings, revenue, retention, churn, renewal activity, product attachment, or similar metrics.
• Experience with dbt, dimensional modeling, semantic modeling, or modern analytics engineering practices.
• Experience with Salesforce, Apttus, Oracle and/or Oracle Fusion, Oracle Analytics Server (OAS), ServiceMax or similar enterprise platforms.
• Experience creating executive-facing dashboards and delivering insights to senior leadership.
• Familiarity with cloud data platforms, AI-assisted analytics, automation solutions, or modern business intelligence tools.

Benefits

• Great work environment
• Professional development
• Challenging careers
• Competitive compensation