Manager of Data Analytics

Role

SmarterDx is seeking an experienced Analytics Manager to lead our analytics team and drive data-driven decision-making across the organization. In this role, you will oversee the development and implementation of advanced analytics solutions, provide actionable insights, and ensure the highest standards of data accuracy and integrity. You will work closely with cross-functional teams to identify opportunities for leveraging data to improve business outcomes.

Key Responsibilities

• Lead and mentor the analytics team to foster a culture of excellence and innovation in data analytics
• Develop and implement advanced analytics methodologies to provide actionable insights and support strategic decision-making
• Collaborate with cross-functional teams to identify and prioritize analytics projects that align with company goals
• Ensure the accuracy and integrity of data used for analytics, implementing rigorous testing and validation processes
• Oversee the creation and maintenance of dashboards, reports, and visualizations to communicate key metrics and insights to stakeholders
• Drive continuous improvement in analytics processes and methodologies, staying current with industry best practices and emerging trends
• Develop and enforce data governance policies and practices to ensure compliance with regulatory requirements
• Provide thought leadership in the field of analytics, advocating for the use of data to drive business innovation.

Your Qualities

Must-Have Areas of Expertise:

• 3-5+ years of experience with managing multiple senior analysts, project organization, deliverable prioritization
• Advanced SQL proficiency
• Python/Airflow proficiency
• Customer reporting and data visualization
• Experience with ETL/ELT processes, particularly with healthcare data (clinical, billing, or both)
• Analytics infrastructure integration, preferably with DBT and Snowflake

First Year Focus:

• Advancing customer-facing analytics dashboards to highlight the value SmarterDx brings to customers
• Crafting and maintaining internal dashboards to better understand and leverage our data
• Investigating potential problems or opportunities identified in the data
• Growing and managing the analytics team, providing leadership and direction
• Building infrastructure to deploy data products or "Insights as a Service" to customers.

Time Allocation (First Year):

• 20% analytics projects
• 50% people management
• 15% strategic initiatives
• 15% project management

Preferred Professional Certifications:

• Epic Clarity, Caboodle, Chronicles, or Cogito certifications (nice-to-have)

Our Data Science stack

• Databases: Snowflake (primary), DynamoDB
• Cloud Infrastructure: AWS (including S3, MWAA, Sagemaker)
• Technologies: SQL, dbt, Python

Compensation

• …