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As a Senior Analytics Engineer, you develop and deliver mission-critical data and metrics as products to the business functions across the organization, democratize insights, unlock decision science, and drive data-driven decisions. You play a key role in propelling the data culture at Workiva. You will gain a deep understanding of business problems and match data and technology to provide end-to-end analytical solutions. You will partner with cross-functional teams and through the decision chain.

This role will be working within the organization's Business Technology (BT) group. 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.

What You'll Do

• Lead the ideation, technical development, and launch of analytical data products including data assets, metrics, BI capabilities, and data-driven decision applications

• Work closely with cross-functional teams to identify analytical data needs, define data product requirements, and agree on success measures

• Synthesize the needs across stakeholders to build common components that can act as multipliers across different functions

• Translate analytical data requirements and business logic into efficient, scalable queries and data models

• Develop and productionize the analytical data products, including metrics, data tables, data catalog and classification, metrics dictionary and semantic layer

• Partner with Data Engineering to ensure development adheres to standard and utilizes the latest technologies

• Partner with Data Governance and Management function to ensure data quality, compliance and security are in place at launch and continue maintaining compliance

• Engage directly with data users during pre-launch and post-launch to ensure the analytical data product will help them reach their desired business outcomes

• Develop and conduct data user enablement content and sessions; optimize and continuously improve data user experience

• Explore and implement integration and automation capabilities to continuously reduce time to insights, drive data and analytical efficiency, and improve data ROI

• Be the expert on analytical data assets and applications

• Maintain a strong knowledge of Workiva products through a commitment to ongoing training

What You'll Need
Minimum Qualifications

• 4+ years of relevant experience in a similar role, including data engineering, BI development, or experience in analytics, business analysis or comparable consumer analytics solutions

• Undergraduate degree or equivalent combination of education and experience. Degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline

• Demonstrated experience using dbt for data transformation and modeling, including the ability to write and manage SQL models

Preferred Qualifications

• 2-3 years of previous analytical/data science experience strongly preferred

• Extensive knowledge and experience in data mining, SQL (including query design and tuning for performance), and using databases in a business environment with large-scale, complex datasets. Familiarity with business intelligence reporting tools (e.g., QuickSight, Tableau, Power BI)

• Experience with Python, R, or other relevant scripting languages preferred

• Experience in designing and implementing data models for relational and non-relational databases, including both conceptual and physical modeling

• Extensive knowledge of customer relationship management (CRM) tools (e.g., Salesforce, HubSpot), specifically in report design, dashboard design, and custom objects

• Familiarity with cloud-based data warehousing solutions (e.g., AWS Redshift, Databricks, Snowflake)

• Proficient research skills to locate market information using various internal and external data sources

• Excellent verbal and written communication and interpersonal skills, with the ability to effectively communicate with both business and technical teams

• Excellent planning and organizing skills to prioritize projects and ensure data is delivered accurately and understandably

• Familiarity with data structures and schemas from various systems (ERP, GRC, GL) and an understanding of API design philosophy/patterns and communication protocols (SOAP, REST, JSON, XML)

• Ability to work independently and manage multiple projects simultaneously

Travel Requirement and Working Conditions

• Up to 10% travel

• Reliable internet access for any period of time working remotely, not in a Workiva office

How You'll Be Rewarded

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.

We strongly encourage and welcome people from historically marginalized groups to apply.

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.

Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. 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.