Senior Analytics Engineer, Workiva

• 4+ years of relevant experience in a similar role, including analytics engineer, data engineering, or comparable analytics solutions
• Undergraduate degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline
• Strong proficiency in SQL and experience with relational databases
• Strong proficiency using dbt for data transformation and modelings
• Strong proficiency in data modeling concepts (e.g., dimensional modeling, normalization)
• Experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Databricks, Snowflake)
• Knowledge of various business technology platforms (e.g., CRM, ERP, marketing automation), with specific expertise in supporting metrics
• Up to 10% travel
• Reliable internet access for any period of time working remotely, not in a Workiva office

Desirable

• 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
• Lead the ideation, technical development, and launch of analytical data products including data assets, metrics, BI capabilities, and data-driven decision applications
• Translate analytical data requirements and business logic into efficient, scalable queries and data models
• Write, test, and deploy high-quality, maintainable SQL code and other data transformation scripts
• Develop and implement data quality checks and ensure data integrity and accuracy
• 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
• 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 to ensure 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