Senior Analytics Engineer

PatientPoint

13d•$73,540 - $165,000•Remote

About The Position

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. We are seeking an experienced and visionary Senior Analytics Engineer to design, build, and own end-to-end data solutions for our Core products, spanning data ingestion, modeling, semantic layer development, and final user experience. In this role, you will help establish and scale analytics foundations by partnering on and implementing data pipelines that integrate data from internal and external business systems while developing governed, analytics-ready models and semantic layers that power trusted metrics and insights. This position offers an exciting opportunity to contribute to critical, strategic initiatives and shape the future of analytics, data visualization, and reporting within our Core Products organization.

Requirements

5+ years in a related data visualization or data engineering role.
Proficiency in Looker and LookML, with experience using other business intelligence platforms such as Tableau or Power BI.
Hands-on experience building and maintaining analytics models using dbt and Snowflake.
Advanced SQL knowledge, including writing complex queries, optimizing performance, and working with large datasets.
Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
Experience working within agile development methodologies and collaborative project delivery practices.
Strong communication skills, both verbal and written.
Highly organized with excellent attention to detail.
Ability to work independently and as part of a team.
Sense of urgency to learn and take on new challenges.
Ability to manage stakeholder expectations and requirements to deliver governed, flexible analytics assets that align with enterprise best practices.

Nice To Haves

Bachelor’s degree in computer science, Information Systems, Data Analytics, or a related field.
Experience with workflow orchestration tools such as Apache Airflow.
Experience partnering with sales teams to deliver analytics, reporting, and data-driven insights.
Knowledge of statistical analysis and data mining techniques.
Previous experience partnering with cross-functional teams to support analytics and reporting needs.
Healthcare industry experience

Responsibilities

Own the development, maintenance, and delivery of analytics-ready data platforms, driving data management best practices to deliver clean, standardized, and well-documented data assets using Snowflake, dbt, and Looker.
Foster strong partnerships with business stakeholders to understand requirements and deliver actionable analytics and reporting that surface key provider sales, operational, and business performance metrics, trends, and insights.
Partner with the Data team during the design, build, and testing of certified datasets in dbt and Snowflake, including the ingestion, transformation, and modeling of data from internal and external business systems.
Oversee the design and development of interactive and performant analytical experiences, with primary ownership of Looker dashboards, Explores, and semantic models supporting provider sales, commercial, and operational analytics.
Design and maintain analytics models and metrics supporting provider sales performance, including pipeline, revenue, customer engagement, operational KPIs, and other key business performance metrics.
Formulate and implement techniques for auditing and evaluating data collection quality, ensuring adequacy, accuracy, and legitimacy of data.
Identify, design, and implement internal process improvements, such as optimizing data delivery and redesigning tools and data models for maximum impact.
Mentor and support the growth of junior team members through coaching, knowledge sharing, and regular feedback.
Champion and uphold data governance practices by promoting data quality, documentation standards, and consistent metric definitions across data models, semantic layers, and reporting tools.
Be infinitely curious about data and build actionable insights through a deep understanding of the business and the data we collect.
Drive a culture of storytelling through data by enabling consistent, trusted, and well-modeled datasets that empower self-service analytics and informed decision-making.
Lead cross-functional collaboration with business leaders, analysts, data scientists, and engineers to understand analytical needs and architect data models and analytics pipelines that support provider sales, commercial operations, and strategic business objectives.
Provide technical leadership and guidance on data visualization enablement by ensuring robust backend data structures that support intuitive, performant dashboards.
Advocate for and implement best practices in semantic modeling, metric standardization, and reporting infrastructure to promote an insight-driven culture.
Own and evolve governance frameworks and development processes within the visualization and reporting space to ensure data quality, maintainability, and long-term scalability.