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Strategy & Analytics Lead - Enterprise Insights

Roles & Responsibilities

  • 6+ years of experience in business intelligence, data analytics, or 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

Requirements:

  • Architect Complex Insights: Lead the end-to-end design of sophisticated analytical frameworks and define methodologies to measure the health of the Workiva engine
  • Proactive Discovery: Act as a data scout identifying latent patterns and business risks, advancing from reactive reporting to predictive and prescriptive intelligence
  • Scale through Systems: Lead the design and evolution of next-generation self-service data products with robust, scalable, and intuitive architecture for a global user base
  • Strategic Storytelling and Executive Influence: Craft and deliver compelling data narratives to the Executive Leadership Team and serve as a trusted advisor for big strategic shifts in Sales, Finance, and Product

Job description

This role will report to the Director of Decision Science and is a part of the Data & Analytics organization within Business Technology (BT). BT powers Workiva’s growth, enhances the employee experience, and boosts organizational productivity with tech-driven transformation and innovative solutions. The Data & Analytics team drives data-driven decisions and innovations across Workiva.

As a Strategy & Analytics Lead at Workiva, you will serve as a technical leader and strategic partner within the Decision Science team. While a Senior Analyst masters the how of data, a Lead Analyst defines the what and the why. You will operate at the intersection of deep technical architecture and executive-level business strategy, driving the evolution of our data ecosystem. You will be responsible for high-impact initiatives that influence the trajectory of our Data & Analytics organization, ensuring that our insights are not just accurate, but transformative.

What You’ll Do

Advanced Data Strategy & Analysis

  • Architect Complex Insights: Lead the end-to-end design of sophisticated analytical frameworks. You won't just analyze datasets; you will define the methodologies that allow us to measure the health of the entire Workiva engine

  • Proactive Discovery: Act as a "data scout," identifying latent patterns and business risks before they reach the executive radar. You will move the organization from reactive reporting to predictive and prescriptive intelligence

  • Scale through Systems: Lead the design and evolution of our next-generation self-service data products, ensuring the architecture is robust, scalable, and intuitive for a global user base

Strategic Storytelling & Executive Influence

  • Narrative Leadership: Master the art of "data translation." You will craft and deliver compelling narratives to the Executive Leadership Team (ELT), turning high-dimensional data into clear strategic bets

  • Decision Support: Serve as a trusted advisor to senior leaders, providing the analytical backbone for "big swing" organizational shifts in Sales, Finance, and Product

Global Stakeholder Engagement & Orchestration

  • Cross-Functional Catalyst: Bridge the gap between disparate business units GTM (Marketing, Customer Success, Finance, Marketing and ELT) to create a "single source of truth." You will facilitate alignment where business objectives might conflict

  • Requirements Visionary: Don't just take orders; consult with stakeholders to redefine their needs, ensuring that technical requirements align with long-term enterprise goals

Data Excellence, Governance & Culture

  • Guardianship: Set the gold standard for data integrity, security, and documentation. You will mentor others on the Decision Science team in best practices for data flow logic and reproducible research

  • Democratization & Mentorship: Partner with Data, Analytical Engineering, Data Product Managers and stakeholders to design curated data layers. You are a culture-carrier, mentoring senior and mid-level analysts to elevate the collective "data IQ" of the company

  • Innovation: Pioneer the adoption of new BI tools, ML integrations, and analytical methodologies to keep Workiva at the cutting edge of Business Technology

What You'll Need

Minimum Qualifications

  • 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

Preferred Qualifications

  • Communication: Elite presentation skills; ability to command a room of executives and simplify the complex without losing the nuance

  • Strategic Thinking: Demonstrated ability to manage high-ambiguity projects, balancing immediate business impact with long-term technical debt and scalability

  • Technical Mastery: Expert-level SQL and deep experience with modern data stacks (Snowflake, Airflow, dbt). High proficiency in Python or R for advanced automation and causal inference

  • Visualization Architecture: Expert ability to build "at-a-glance" executive dashboards and deep-dive exploratory tools using Tableau, Quicksight, or custom libraries

Travel Requirement & Working Conditions

  • For remote working opportunities, a stable internet connection is required

  • Occasional travel may be needed for team meetings, conferences, or company events

How You’ll Be Rewarded

✅ Salary range in the US: $129,000.00 - $207,000.00

✅ A discretionary bonus typically paid annually

✅ Restricted Stock Units granted at time of hire

✅ 401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com.
 

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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