**This is a remote role**

Summary

The Usage Analyst is a key member of Loyal’s Customer Success team in ensuring customers are getting the most usage out of Loyal’s AI-driven solutions. The Usage Analyst is responsible for defining and owning custom reporting metrics for Loyal customers across all products. In this role, the Usage Analyst will utilize analytical skills and passion for analyzing data to identify key trends, insights, and red flags. A successful Usage Analyst will bring together data analytics with the growing and exciting areas of Machine Learning and Artificial Intelligence. Reporting to the VP of Customer Success, the Usage Analyst must demonstrate excellent verbal and written communication skills, attention to detail skills, and comfort with ambiguity in a fast-paced environment.

Responsibilities

• Establishes reporting metrics across all of Loyal’s existing & future products
• Manages the creation and maintenance of customer usage reports 
• Works cross-functionally with internal and customer stakeholders to pull custom reports as needed for case studies, ROI models, business cases, annual reviews, etc. 
• Analyzes data against KPIs to find actionable insights, trends and red flags for our customers
• Runs complex queries in Loyal’s databases to pull, sort, and filter data
• Creates reports and dashboards in Loyal’s data visualization tool (ie. Google Data Studio, Power BI)
• Automates tasks/processes to streamline monthly reporting efforts
• Provides customer feedback to Loyal’s product and design teams on reporting functionality within the platform 

Qualifications

• Bachelor's degree in a quantitative discipline (statistics, operations research, engineering, economics, analytics, etc.) or equivalent work experience required
• Minimum of 3 years of Usage Analyst experience or related experience required
• Experience working in a Relational Database required
• Experience with SQL, Python (API requests, pandas, etc.), and database structures, query languages, and relationships between entities is required
• Experience building automated dashboards and data visualizations using tools (Power BI, Google Data Studio, Tableau, etc.) is required
• Experience with G Suite (Docs, Sheets, Slides, etc.) required
• Experience with manipulating and analyzing data to solve business problems and recommend decisions is required
• Experience in Healthcare and familiarity with Artificial Intelligence preferred
• Experience working within a software as a service (SaaS) company preferred
• Experience working within a start-up and/or ambiguous environment, with proven experience to be adaptable preferred