Sr. Business Intelligence Analyst (Business Intelligence Analyst III)

Bluebeam creates smart software solutions that make construction sites more efficient, connected, and safe for design and construction professionals. The Senior Business Intelligence Analyst partners with operational and strategic teams to define metrics, build business intelligence reports, analyze data, improve forecasting models, and provide recommendations. The role also supports Bluebeam’s migration to a Databricks lakehouse architecture and collaborates cross-functionally on analytics standards and data assets.

Responsibilities:

• Researches, shadows, and interviews Operational teams to understand business needs and processes
• Works with business system owners to understand the flow of data in systems
• Defines enterprise metrics and dimensions to describe underlying data
• Defines and builds necessary data models to create or enhance BI reporting, including the Balanced Scorecard
• Collects and analyzes quantitative and qualitative data from the Enterprise perspective using advanced methods
• Develops, optimizes, and automates multiple enterprise forecast models, including but not limited to, Churn and Customer Delight
• Solves problems while aligning with Operations teams to solve/implement processes that enable teams to achieve their goals
• Suggests solutions to processes to drive more efficiency and scalability
• Reviews data to ensure high integrity
• Builds and maintains analytics pipelines and data assets within Databricks (Unity Catalog, Delta Lake, SQL Warehouses) to support enterprise reporting
• Partners with Data Engineering on lakehouse data model design and contributes to the shared semantic layer

Requirements:

• Mid–Senior level experience in an analytical role
• Strategic thinking
• Strong analytical and problem-solving skills
• Good experience with statistical analysis and forecasting
• Goal setting and prioritization
• Project management
• Service-oriented
• Cross-functional alignment
• Time management
• Attention to detail
• Strong communication skills in active listening, written and verbal
• Strong organizational skills
• Professional maturity
• Comfortable working in a lakehouse environment and contributing to platform-level analytics standards
• BI tool proficiency, especially Power BI and/or Databricks AI/BI (Genie, Dashboards)
• Databricks (Unity Catalog, Delta Live Tables, SQL Warehouses, Notebooks)
• Python or PySpark for data transformation and analytical workflows
• Databricks Certified Data Analyst or Data Engineer Associate
• Salesforce – Sales Cloud, Revenue Cloud, Dat Cloud
• ERPs (like NetSuite, SAP, Dyanmics)
• Statistics and machine learning