REMOTE Data Analyst

Summary

Catasys is a company focused on improving behavioral health through predictive analytics. The Data Analyst will drive innovation and contribute to the company's growth by transforming data into insights that enhance decision-making and support business expansion.

Responsibilities

• Dive into data to predict and quantify user behavior: our members, Care Team, and network providers
• Find actionable strategic insights through funnels, cohort analyses, user segmentation, retention analyses and regression models to help us grow our products
• Data storytelling: quantify user journeys to help identify opportunities to improve member outcomes and team productivity
• Become a Catasys subject matter expert to understand and anticipate the data needs of customers, Product, User Experience, and internal stakeholders
• Translate high-priority business problems to solve into concise measures
• Lead the Analytics Center of Excellence: a cross-functional team of Data Champions within the organization
• Drive a culture of analytical rigor and transparency, and shared understanding of measures
• Work both collaboratively and autonomously
• Define KPIs, build automated dashboards, reports, and models to help teams make faster better decisions
• Work with engineering and product to implement, quality assurance, and monitor our logging and metrics

Skills

• Bachelor's Degree in Computer Science, math, economics, statistics, or other quantitative fields
• 2+ years' experience with PowerBI DAX Programming
• Expertise performing quantitative analysis
• Excellent communication and presentation skills: you understand your audience and how to effectively present information to diverse stakeholders
• Strong understanding of statistical methods and applications (A/B testing, probability, regression)

Qualifications

Must Haves

• Bachelor's Degree in Computer Science, math, economics, statistics, or other quantitative fields
• 2+ years' experience with PowerBI DAX Programming
• Expertise performing quantitative analysis
• Excellent communication and presentation skills: you understand your audience and how to effectively present information to diverse stakeholders
• Strong understanding of statistical methods and applications (A/B testing, probability, regression)