Manager, Analytics Engineering

PatientPoint®

Cincinnati (OH)

Hybrid

USD 130,000 - 185,000

Full time

7 days ago

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Benefits offered by this job

Hybrid work options

401K plan

Healthcare benefits

Professional development

Job summary

PatientPoint is seeking a Manager of Analytics Engineering to lead a team turning raw data into governed, scalable analytics assets. You’ll oversee dbt models, LookML layers, and BI frameworks while collaborating with Data Engineering, Reporting, and Analytics teams to align data products with business priorities.

The role requires hands-on analytics engineering experience, strong leadership, and a drive to deliver trusted self-service insights across the organization.

Qualifications

Bachelor’s degree in computer science, information systems, data engineering, data analytics, or 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.

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 accountability and growth.
Contribute to the development of frameworks, methodologies, and tools for reliable data assets.

Skills

dbt

Snowflake

Looker

SQL

Leadership

Mentoring

Stakeholder communication

Project management

Data visualization

Data modeling

Education

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Data Analytics, or related field

Tools

LookML

BI frameworks

Job description

Job Summary

Join PatientPoint to be part of a dynamic team creating change in and around the doctor’s office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.

Location: Cincinnati, OH (Hybrid); New York, NY (Hybrid) ; or remote within the Eastern Time Zone.

Travel Requirements: 3 to 5 times per year

Job Summary

The Manager of Analytics Engineering will lead a team responsible for transforming raw data into governed, reusable, and scalable analytics assets. This includes managingdbtmodels, semantic layers (LookML), and BI frameworks that empowerthecompanywith trusted, self-service insights.The role requires hands-on expertise in modern analytics engineering practices, close collaboration with Data Engineering, Reporting,and Analytics teams, and the ability to align data products with business priorities.

What You’ll Do

Lead,manage, andtraina team ofdata visualization engineersand 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 teammembers,cultivatinga culture of accountability, collaboration, and growth.
Contribute to the development of frameworks, methodologies, andtools that improve howthe companydesigns and delivers reliable data assets.

Data Strategy and Execution:

Develop and implementanalyticsengineeringstrategies aligned with business objectives with a focus on repeatable, scalable, and automated solutions.
Ensure the accuracy, consistency, and reliability of alldata assets.
Collaborate with Data Engineering, DataReporting, 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 evolvethe companiesanalytics engineering ecosystem, includingshared ownership ofdbt, Snowflake, and Looker.
Define and enforce standards for modeling, testing, documentation, and version control indbtandBI 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 regulationsandthe companiesData Governance standards.
Own the standardization ofthe companiesmetric layer to ensure consistent definitions across all BI tools and reports.

Business Impact:

Partner withbusiness 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.

What We Need

Bachelor’s degree in computer science, Information Systems, Data Engineering, Data Analytics, ora 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.

Desired Qualifications

Experience implementingdbtbest practices (modular modeling, testing, documentation, CI/CD).
Looker and Look ML Expertise
Deep experience with semantic modeling and BI governance (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.

What You’ll Need to Succeed

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.

Base Salary Band: $129,700.00 - $185,400

Compensation: AtPatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors whendeterminingcompensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just onecomponentofPatientPoint’stotal compensation package for employees. Foradditionaldetails on our total benefits package, please review the section “AboutPatientPoint” at the end of this job description.

About PatientPoint:

PatientPoint® is the Point of Change company, transforming the healthcare experience through the strategic delivery ofbehavior-changing content at critical moments of care. As the nation’s largest and most impactful digital network in 30,000 physician offices, we connect patients, providers and healthbrands with relevant information that is proven to drivehealthier decisions and better outcomes. Learn more atpatientpoint.com.