[Remote] Manager, Analytics Engineering

Note: The job is a remote job and is open to candidates in USA. PatientPoint is hiring a Manager of Analytics Engineering to lead a team that transforms raw data into governed, reusable, and scalable analytics assets. The role owns and evolves the analytics engineering ecosystem, aligns data products with business priorities, and enables trusted self-service insights through collaboration with data and business teams.

Responsibilities

• Lead, manage, and train a team of data visualization engineers and professionals
• Foster a culture of continuous learning, innovation, collaboration, and improvement
• Oversee resource allocation, prioritization, and project delivery to ensure high-quality outcomes within deadlines
• Provide mentorship and guidance to team members, cultivating a culture of accountability, collaboration, and growth
• Contribute to the development of frameworks, methodologies, and tools that improve how the company designs and delivers reliable data assets
• Develop and implement analytics engineering strategies aligned with business objectives with a focus on repeatable, scalable, and automated solutions
• Ensure the accuracy, consistency, and reliability of all data assets
• Collaborate with Data Engineering, Data Reporting, Data Analytics, and Advanced Analytics teams to ensure data pipelines, tools, and dashboards for robust reporting and analytics meet the needs of the business
• Own and evolve the companies analytics engineering ecosystem, including shared ownership of dbt, Snowflake, and Looker
• Define and enforce standards for modeling, testing, documentation, and version control in dbt and BI layers
• Partner with stakeholders to establish and maintain a governed set of core metrics
• Champion self-service enablement, ensuring teams can access reliable data without bottlenecks
• Ensure data quality, integrity and compliance with industry standards and regulations and the companies Data Governance standards
• Own the standardization of the companies metric layer to ensure consistent definitions across all BI tools and reports
• Partner with business stakeholders and data teams, defining clear requirements, setting expectations, and communicating effectively and efficiently
• Ensure business requirements are appropriately translated into technical specifications that clearly define the work
• Present insights and recommendations to executives and other decision-makers
• Establish and track objectives and key results (OKRs) to evaluate the effectiveness of strategic initiatives
• Deliver analytics assets that reduce redundancy, accelerate time-to-insight, and promote consistency in metrics across the organization

Skills

• Bachelor's degree in computer science, Information Systems, Data Engineering, Data Analytics, or a related field
• 5+ years in a related data visualization or data engineering role
• 2+ years of experience managing or mentoring a team or contractors
• Advanced experience with dbt and Snowflake
• Advanced SQL knowledge, including writing complex queries, optimizing performance, and working with large datasets
• Proven experience in developing and delivering within data visualization, reporting, or business intelligence
• Excellent communication, with the ability to effectively convey technical concepts to non-technical audiences
• Experience with project management practices and methodologies
• Strong understanding of data modeling principles, with the ability to apply statistical and analytical techniques when appropriate
• Proven ability to lead and inspire teams in a fast-paced environment
• Strong project management skills, with a track record of delivering complex projects on time and within scope
• Exceptional communication and presentation skills, with the ability to influence stakeholders at all levels
• Excellent problem-solving and critical-thinking skills
• Strong ability to translate analytical concepts into clear, compelling stories that resonate with both technical and non-technical audiences
• Experience implementing dbt best practices (modular modeling, testing, documentation, CI/CD)
• Looker and Look ML Expertise
• Deep experience with semantic modeling and BIgovernance (LookML, Tableau, or equivalent)
• Proven success driving adoption of self-service BI while maintaining governance and trust in data
• Proficiency in analytics tools such as Python (preferred), alongside SQL, Snowflake, and Looker
• Strong understanding of data modeling, statistical analysis and data visualization
• Experience with cloud computing environments (e.g., Snowflake, GCP, AWS, Azure)
• Expertise with relational and cloud-based database systems

Benefits

• For full-time teammates: flexible time off to recharge
• For full-time teammates: hybrid work options; the role is hybrid in Cincinnati, OH or New York, NY, or remote within the Eastern Time Zone
• For full-time teammates: mental and emotional wellness resources
• For full-time teammates: a 401K plan

Company Overview

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