InStride Health · 9 hours ago

Data & Analytics Manager

Boston, MA

Full-time

Remote

Senior Level

6+ years exp

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Responsibilities

Lead the design, execution, and delivery of data analysis projects to support business objectives, ensuring insights are actionable and aligned with strategic goals.

Collaborate with cross-functional teams—including clinicians, operations, finance, and marketing—to understand key challenges and deliver tailored analytical solutions.

Supervise and mentor a team of data analysts, fostering professional development and ensuring high-quality output.

Work closely with the Data Engineering team to optimize data architecture and pipelines, ensuring accuracy, consistency, and scalability of data assets.

Develop and maintain interactive dashboards and visualizations using tools such as Looker, Power BI, Tableau, Sigma, or Qlik to communicate insights effectively to technical and non-technical audiences.

Implement and apply advanced analytic methods, including descriptive and predictive analytics, to drive proactive decision-making.

Provide expertise in population health analytics, including the design and interpretation of metrics that measure clinical outcomes and business performance.

Champion data governance and integrity, ensuring adherence to best practices in data management, reporting, and security.

Manage multiple analytics projects, balancing competing priorities and coordinating efforts across departments to meet deadlines and stakeholder needs.

Stay updated on emerging trends in analytics, machine learning, and data visualization, incorporating best practices to enhance organizational capabilities.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data AnalysisSQLPythonBusiness IntelligenceRTableauPower BILookerMachine LearningProject ManagementHealthcare AnalyticsPopulation HealthData Visualization

Required

6+ years of experience in data and analytics roles, with a proven ability to lead teams and manage complex projects.

Excellent verbal and written communication skills, with the ability to translate complex data findings into clear and actionable insights for non-technical stakeholders.

Demonstrated project management skills, including prioritization, resource allocation, and stakeholder engagement.

Strong problem-solving skills, with the ability to think logically and critically under pressure.

Flexibility and adaptability to work independently and professionally in a fast-paced, dynamic environment.

Strong technical proficiency with SQL, R, Python, or similar data query and analysis tools.

Expertise in using business intelligence and visualization platforms (e.g., Looker, Tableau, Power BI, Sigma, or Qlik) to create impactful reports and dashboards.

Familiarity with machine learning concepts and their practical applications in data analysis.

Proven ability to synthesize and interpret large datasets from multiple sources to inform business strategy.