Sr. Associate, Business Operations & Analytics

Enable Dental provides mobile dental care to patients in assisted living and skilled nursing facilities and others unable to visit a traditional office. The Sr. Associate, Business Operations & Analytics supports operational and strategic decisions by building analytical models and insights, optimizing staffing and resource allocation, and leading high-visibility projects across the business.

Responsibilities:

• Serve as a thought partner & analytical right hand to operations leadership, transforming raw operational challenges into structured frameworks and recommendations
• Write complex SQL reports and utilize Python to automate operational workflows, extract actionable insights, and build robust forecasting models
• Build and maintain forecasting, staffing and resource allocation models that drive operational and strategic decisions across the business
• Develop and refine operational workflows and ad-hoc analyses, such as building tools to prescriptively queue work for our support operations staff or setting revenue and scheduling targets across the organization
• Translate complex data into clear, persuasive narratives for executive and cross-functional audiences
• Identify performance gaps, inefficiencies, and growth opportunities across the organization and propose the changes needed to fix/realize them
• Own high-visibility projects and analyses from scoping through execution and measurement. Whether it’s creating a pricing model to evaluate ROI, using geospatial heatmaps to determine new office locations, or optimizing provider compensation structures, you are the project lead
• Partner closely with field operations leaders to align staffing and scheduling to service goals, productivity targets, and budget
• Create and maintain dashboards, reports, and tools that track field efficiency, utilization, and staffing KPIs

Requirements:

• 2–4 years of experience in data analytics, business intelligence, data science, business operations, or a similar highly analytical and technical role
• Strong proficiency in SQL for querying databases and Python for data manipulation, modeling, and workflow automation
• Advanced Excel or Google Sheets skills: complex modeling, scenario analysis, dynamic dashboards
• You can build a model and explain what it means to a Regional Manager who doesn't live in spreadsheets
• Structured problem solver — you know how to frame a problem before you start solving it and can take a messy, qualitative problem and turn it into a quantitative hypothesis
• Comfortable with ambiguity, multiple priorities, and cross-functional collaboration
• Excellent communicator with executive presence — you can distill complex findings into concise and actionable recommendations. You are comfortable “in the room” with senior leadership, able to defend your logic and influence decision-making at the highest levels
• Curious, resourceful, and motivated to optimize and improve outcomes continuously
• Bachelor's degree in business, economics, operations, data analytics, or a related quantitative field
• Healthcare, logistics, or field-based services experience
• Experience with Power BI, Tableau, or similar data visualization tools