Senior Analytics Engineer

$102,000 - $173,000/Yr

Workiva

Full-time - Mid Level

Onsite

Professional, Scientific, and Technical Services

About the position

The Senior Analytics Engineer at Workiva plays a crucial role in delivering analytics and insights that help the organization meet and exceed its objectives. This position involves interaction with a variety of business and technology customers, both internal and external, and focuses on statistical modeling and analysis of datasets to develop metrics, reports, and visualizations.

Responsibilities

• Gather and analyze feedback from existing customers to evaluate new enhancements, features, and solutions
• Validate product features with customers and conduct walkthroughs of product iterations during development
• Collaborate with customer teams to ensure features are user-friendly and intuitive
• Design queries to extract data to generate dashboards and reports to meet business users' operational needs and support business decisions
• Develop automation and integration of data and processes
• Identify appropriate data sources, report metrics, and tools for providing required information according to the stakeholder's specifications
• Define and/or ensure established report/analytics parameters are consistent with data governance requirements
• Collaborate with internal business partners to understand requirements and appropriately frame them into data and reporting solutions
• Improve data availability by acting as a liaison between the Data Warehouse team and other business teams within Workiva
• Implement and maintain data quality checks and monitoring systems to ensure data integrity
• Apply analytical, mathematical, and statistical techniques to investigating and interpreting data results
• Maintain a strong knowledge of Workiva products through a commitment to ongoing training
• Keep up to date on best practices, new technologies, and relevant industry news

Requirements

• 4+ years of relevant experience in a business intelligence role, including data warehousing and business intelligence tools, techniques, and technology
• Undergraduate degree or equivalent combination of education and experience 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

Nice-to-haves

• 2-3 years of previous statistics experience
• Extensive knowledge and experience in data mining, SQL, 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
• Extensive knowledge of customer relationship management (CRM) tools (e.g., Salesforce, HubSpot)
• 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
• 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)
• Experience in designing and implementing data models for relational and non-relational databases

Benefits

• Salary range in the US: $102,000.00 - $173,000.00
• A discretionary bonus typically paid annually
• Restricted Stock Units granted at time of hire
• 401(k) match and comprehensive employee benefits package