Senior Analytics Engineer

The Senior Analytics Engineer at Pomelo Care is responsible for building core data models that support various teams across the organization. This includes defining pregnancy episodes using medical claims data and ensuring that our data culture is strong and informative. The engineer collaborates with cross-functional stakeholders, advising data scientists on best practices to develop efficient data models that meet users' needs, enhancing overall data quality and accessibility.

Candidates for the Senior Analytics Engineer role at Pomelo Care should have a minimum of 4 years of professional experience in data science, data engineering, or analytics, with at least 2 years specifically involving healthcare and claims data. Proficiency in SQL, experience with orchestration platforms like Dagster or Airflow, and familiarity with BI tools such as Looker or Tableau are also essential. Strong communication skills and a collaborative spirit are necessary to work effectively with technical and non-technical stakeholders.

As a Senior Analytics Engineer at Pomelo Care, you contribute directly to improving maternal health outcomes by providing actionable insights derived from reliable data. Your work in building foundational data models allows various teams to drive informed decisions that enhance patient care and clinical practices, ultimately leading to better health outcomes for moms and babies.

A Senior Analytics Engineer at Pomelo Care should be proficient in SQL and have experience working with healthcare data. Familiarity with dbt, orchestration platforms like Dagster or Airflow, and business intelligence tools such as Looker, Metabase, or Tableau is also essential for successfully executing your duties. Additionally, knowledge of Python is a plus for transforming data to meet analytical needs.

Working as a Senior Analytics Engineer at Pomelo Care offers you the opportunity to be part of a mission-driven startup with a competitive salary, generous equity compensation, and comprehensive healthcare benefits. You'll enjoy an unlimited vacation policy and membership in the First Round Network, which provides access to mentorship and invaluable resources. Additionally, Pomelo Care fosters a diverse and inclusive environment promoting personal growth and professional development.

When building data models, I begin by engaging with stakeholders to gather their specific data needs and requirements. This collaboration ensures I understand their objectives and the context behind the data. I then utilize best practices in data modeling to create robust structures that are flexible and scalable, allowing for easy access and interpretation of data across different teams.

My experience with healthcare data spans over two years, primarily working with claims data. I have analyzed claims to identify trends in patient care and outcomes, linking various datasets to provide comprehensive insights. Understanding the nuances of healthcare data is crucial, and I ensure compliance with necessary regulations while maintaining data integrity.

I employ several strategies to optimize SQL queries, such as indexing, using appropriate joins, and analyzing execution plans to pinpoint slow queries. Additionally, I regularly review and refactor code to enhance readability and performance, ensuring that the data models run efficiently and provide quick access to insights.

To ensure data quality and reliability, I implement rigorous testing and validation methods during the data ingestion process. I also conduct regular audits and establish best practices for data documentation. Encouraging a culture of data stewardship among team members helps maintain high data quality standards across the organization.

I focus on simplifying complex concepts when communicating with non-technical stakeholders. Using analogies, clear visuals, and straightforward language helps convey essential information effectively. I always aim to understand their perspective and needs, allowing me to connect technical details to real-world implications.

I commonly use BI tools such as Looker, Tableau, and Metabase for data visualization and reporting. These platforms enable me to create intuitive dashboards and reports that highlight key performance indicators. I ensure that the visualizations are tailored to the audience, making it easier for stakeholders to derive actionable insights from the data.

In a previous role, I faced a challenge integrating multiple disparate data sources to create a unified view of patient outcomes. I approached this problem by developing a robust data model that standardized input formats and established relationships between datasets. This integration allowed teams to access a comprehensive perspective, significantly enhancing decision-making processes.

I stay current by continuously engaging with the data analytics community through conferences, webinars, and online forums. I also subscribe to relevant publications and follow industry leaders on social media. Hands-on projects and experimentation with new tools ensure that I can apply new methodologies effectively.

I am deeply motivated by the opportunity to make a meaningful impact on people's lives through data. In healthcare analytics, I see the potential to drive improvements in patient care and outcomes, particularly for vulnerable populations. Contributing to initiatives that enhance maternal health outcomes aligns with my passion for using data for positive change.

As a Senior Analytics Engineer at Pomelo Care, I can contribute my extensive experience in healthcare data analytics, a strong background in SQL, and a collaborative mindset. I am committed to building data models that empower all teams across the organization to make informed decisions, ultimately supporting Pomelo's mission of improving maternal health outcomes through actionable insights.