SmarterDx is a company that builds clinical AI to transform how hospitals manage care and payment. The Business Analytics Manager will lead a team of Business Analysts, focusing on customer analytics, reporting capabilities, and improving customer outcomes while aligning analytics efforts with strategic objectives.
Responsibilities:
- Lead high-value analytics initiatives by identifying opportunities to improve business outcomes and aligning cross-functional teams on shared goals
- Standardize reporting across internal and external facing tools, pushing for a single source of truth and system of record for client data
- Prioritize and advocate for analytics work that moves the needle for customers and aligns with strategic company objectives
- Communicate clearly and regularly with stakeholders to ensure alignment and transparency in analyst-driven work
- Cultivate a culture of innovation, curiosity, and initiative within the analytics team
- Mentor and support the career growth of your direct reports through regular feedback and coaching
- Assess team performance with structured, twice-a-year progress reviews
- Identify skills gaps or resourcing needs and escalate proactively
- Champion analytics best practices and provide thought leadership across the organization
- Establish rigorous testing, validation, and data quality processes; ensure consistency across data in internal and external reporting
- Oversee the development of metrics, dashboards, reports, and visualizations that drive customer impact
- Iterate and embrace continuous improvement in analytics methodologies
- Define and maintain data governance policies to ensure compliance and data integrity
Requirements:
- 3-5+ years of experience managing senior analysts
- 2+ years working with healthcare data (clinical, billing, or both)
- 2+ years working directly with customers or working on customer-facing projects
- Proven ability to lead analytics initiatives involving cross-functional stakeholders
- Experience in startups or scaling mid-sized businesses
- Technical skills: SQL (Advanced)
- Technical skills: BI/data visualization tools (Advanced)
- Technical skills: Python for data (Proficient)
- Technical skills: dbt (Familiar)
- Technical skills: Git (Familiar)
- Technical skills: Statistics (Familiar)