Staff Business Intelligence Analyst

Workiva Inc. • Ames, IA

1d • $129,000 - $207,000 • Remote

About The Position

The Data & Analytics team within Business Technology powers Workiva’s growth by delivering tech-driven transformation and innovative solutions. As a Staff BI Analyst, you will report to the Director of Data Science and serve as a strategic partner within the Decision Science team. You’ll partner closely with senior leaders to uncover meaningful patterns in performance metrics, customer behavior, and operations—moving beyond "what happened" to deliver the "why" and "what's next." Your ability to blend technical expertise, business acumen, and data storytelling will help Workiva move with greater speed, precision, and confidence toward our strategic goals.

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
• For remote working opportunities, a stable internet connection is required
• Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Nice To Haves

• 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

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

Benefits

• A discretionary bonus typically paid annually
• Restricted Stock Units granted at time of hire
• 401(k) match and comprehensive employee benefits package
• Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level