Sr. Business Intelligence Analyst (Business Intelligence Analyst III)
About The Position
The Senior Business Intelligence Analyst partners with Operations and Strategic level teams to drive insights and analysis, standardize reporting, and optimize processes as they pertain to the overall customer lifecycle. The Senior BIA defines metrics, builds BI reports, analyzes data, enhances forecasting models, and makes high-value recommendations to business leaders. This role serves and works cross-functionally with the Marketing, Sales, Customer Success, Finance, and People teams. This role is a key contributor to Bluebeam's migration to a modern lakehouse architecture on Databricks and is expected to help define best practices for analytics delivery within that platform.
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) — Required
- Python or PySpark for transformation and analytical workflows — Required
Nice To Haves
- Databricks Certified Data Analyst or Data Engineer Associate — Preferred
- Salesforce – Sales Cloud, Revenue Cloud, Dat Cloud — Preferred
- ERPs (like NetSuite, SAP, Dyanmics)
- Statistics and machine learning
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
Benefits
- Competitive compensation and benefits package
- Fully vested 401K right from the day you start
- Generous PTO, including sick/mental health & volunteer days
- Free & unlimited access to BetterUp Care, a well-being platform
- Work-life balance fostered through a culture of diversity, inclusion, and appreciation of individual lifestyle needs
- Opportunity for continuous professional development
- Free & unlimited access to LinkedIn Learning
- Up to $5K annual education reimbursement (after 1 year tenure)
- Annual bonus
- 100% employee-covered health and welfare benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
