Staff Business Intelligence Analyst

Workiva is a company focused on tech-driven transformation and innovative solutions within Business Technology. As a Staff BI Analyst, you will partner with senior leaders to analyze performance metrics and customer behavior, delivering insights that drive strategic goals.

Responsibilities:

• Conduct advanced exploratory data analysis to uncover hidden patterns, correlations, and causal drivers within large datasets
• Lead deep-dive research into complex business problems to provide stakeholders with a comprehensive understanding of underlying implications
• Proactively identify and surface emerging business trends or performance risks to leadership beyond the scope of initial requests
• Translate intricate analytical findings into clear, narrative-driven recommendations that influence executive-level strategy
• Partner with Go-To-Market (GTM), Sales, Customer Success, Finance, and Marketing teams to define the right metrics and analytical frameworks for measuring success
• Design and execute statistical methodologies, including hypothesis testing and attribution modeling, to validate business assumptions
• Oversee the integrity and logic of data models used for analysis, ensuring high confidence in all reported insights
• Mentor the broader analytics community on advanced analytical techniques and evidence-based decision-making
• Maintain high-quality documentation of analytical methodologies, assumptions, and data definitions
• Support the development of curated data layers by providing requirements that enable deeper, more flexible analysis
• Evaluate and implement modern analytical tools and best practices to stay at the forefront of the BI field

Requirements:

• 6+ years of experience in business intelligence, data analytics, or a related technical role
• Deep understanding of SaaS business models and how analytics drives business outcomes
• Experience leading cross-functional data projects in the technology sector
• Bachelor's or Master's degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative discipline
• Mastery of SQL for complex data manipulation and large-scale analytical querying
• Expertise in statistical methods, including hypothesis testing, regression analysis, and causal inference
• Proficiency in R or Python for advanced statistical modeling and data exploration
• Proven ability to influence senior leadership through data storytelling and consultative insights
• Experience with cloud data warehousing platforms like Snowflake, Redshift, or BigQuery
• Familiarity with data visualization tools (Tableau, Quicksight, or Superset) to support the communication of analytical findings
• Experience with data governance, data lineage, and metadata management practices
• Strong project management skills with a focus on delivering high-value insights under tight timelines
• Exceptional communication skills for clarifying technical analytical concepts for non-technical audiences