About The Position

The Senior Business Intelligence Analyst partners with Operations and strategic-level teams to generate insights and analysis, standardize reporting, and optimize processes across the customer lifecycle. The role defines metrics, builds BI reports, analyzes data, enhances forecasting models, and provides high-value recommendations to business leaders. It works cross-functionally with Marketing, Sales, Customer Success, Finance, and People teams. The role contributes to Bluebeam’s migration to a modern lakehouse architecture on Databricks and helps define best practices for analytics delivery on that platform. It builds and maintains analytics pipelines and data assets in Databricks and partners with Data Engineering on lakehouse data model design and the shared semantic layer. Bluebeam creates software solutions for the construction industry and serves more than 3 million users worldwide. The position’s base pay range is $108,900–$136,000, with an annual bonus. Bluebeam describes its culture as people-focused and entrepreneurial, supported by a stable global corporate entity, and emphasizes inclusion, belonging, and equal opportunity.

Requirements

  • Mid-to-senior-level experience in an analytical role.
  • Strong analytical and problem-solving skills.
  • Good experience with statistical analysis and forecasting.
  • Strategic thinking.
  • Goal setting and prioritization skills.
  • Project management skills.
  • Service-oriented approach.
  • Ability to align cross-functionally.
  • Time management skills.
  • Attention to detail.
  • Strong active listening, written, and verbal communication skills.
  • Strong organizational skills.
  • Professional maturity.
  • Comfort working in a lakehouse environment and contributing to platform-level analytics standards.
  • Proficiency with BI tools, especially Power BI and/or Databricks AI/BI (Genie, Dashboards).
  • Databricks experience with Unity Catalog, Delta Live Tables, SQL Warehouses, and Notebooks.
  • Python or PySpark for data transformation and analytical workflows.

Nice To Haves

  • Databricks Certified Data Analyst or Data Engineer Associate certification.
  • Salesforce experience, including Sales Cloud, Revenue Cloud, or Dat Cloud.
  • Experience with ERP systems such as NetSuite, SAP, or Dynamics.
  • Statistics and machine learning experience.

Responsibilities

  • Research, shadow, and interview Operations teams to understand business needs and processes.
  • Work with business system owners to understand data flows across systems.
  • Define enterprise metrics and dimensions that describe underlying data.
  • Define and build data models for new or enhanced BI reporting, including the Balanced Scorecard.
  • Collect and analyze quantitative and qualitative enterprise data using advanced methods.
  • Develop, optimize, and automate enterprise forecast models, including Churn and Customer Delight models.
  • Work with Operations teams to solve problems and implement processes that help teams achieve their goals.
  • Recommend process improvements to increase efficiency and scalability.
  • Review data to ensure high integrity.
  • Build and maintain analytics pipelines and data assets in Databricks, including Unity Catalog, Delta Lake, and SQL Warehouses, to support enterprise reporting.
  • Partner with Data Engineering on lakehouse data model design and contribute to the shared semantic layer.
  • Provide insights, standardized reporting, analysis, forecasting enhancements, and recommendations to business leaders across relevant functions.

Benefits

  • Competitive compensation and benefits package.
  • 401(k) fully vested from the start date.
  • Generous paid time off, including sick, mental health, and volunteer days.
  • Free and unlimited access to BetterUp Care, a well-being platform.
  • Opportunity for continuous professional development.
  • Free and unlimited access to LinkedIn Learning.
  • Up to $5,000 annual education reimbursement after one year of tenure.
  • Health and welfare benefits described as 100% employee-covered.
  • Paid time off.
  • Annual bonus eligibility for most non-sales positions, subject to applicable bonus plan.
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