Senior Analytics Engineer

$102,000 - $173,000/Yr

Workiva - Ames, IA

Full-time - Mid Level

Onsite - Ames, IA

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 achieve its objectives. This position involves interaction with various business and technology customers, performing statistical modeling and analysis on both structured and unstructured datasets, and utilizing programming languages like SQL and Python to manipulate and analyze complex data.

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 investigate and interpret data results.
• Maintain a strong knowledge of Workiva products through 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, or experience in analytics, business analysis or comparable consumer analytics solutions.
• 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 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.
• 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).
• Experience in designing and implementing data models for relational and non-relational databases, including both conceptual and physical modeling.

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