Analytics Engineer II - job 1 of 2

As an Analytics Engineer II at Cohere Health, you will be responsible for ensuring the integrity and quality of our data across platforms. You will develop ETL data pipelines, validate reports, and monitor data jobs, partnering with teams like analytics and product to tackle data-related technical challenges. Your role also includes mapping data requirements and performing quality checks, ensuring our data supports optimal patient care.

To be considered for the Analytics Engineer II role at Cohere Health, you should possess a Bachelor’s or Master’s degree in a STEM field, with 1-3 years of relevant experience in data, preferably in healthcare analytics. Familiarity with ETL tools, SQL, and a passion for improving healthcare outcomes will be crucial components of your skill set.

Cohere Health is committed to nurturing talent and providing a supportive environment for its employees. As an Analytics Engineer II, you'll have access to opportunities for professional development, mentorship, and collaboration with like-minded professionals, ensuring that you can grow your career while making a significant impact in healthcare.

In the Analytics Engineer II role at Cohere Health, familiarity with ETL tools such as Spark and DBT, programming languages like Python and SQL, and some understanding of AWS technologies will be essential. Knowledge of data modeling and the lifecycle of healthcare data will be advantageous to excel in this position.

Cohere Health is recognized as a top workplace, celebrated for its culture of kindness, empathy, and teamwork. As an Analytics Engineer II, you will join a dynamic and growing organization where diverse perspectives are valued, and your work directly contributes to positive changes in the healthcare system.

To ensure data quality in ETL processes, I implement rigorous validation mechanisms that include automated checks and manual reviews of data. I monitor data flows closely and perform quality assurance testing after each ETL cycle to identify and rectify any anomalies swiftly.

In my previous roles, I have extensively used SQL to query databases and perform complex data manipulation tasks essential for reporting and analysis. Understanding SQL is crucial for an Analytics Engineer II at Cohere Health, as it enables efficient handling of large datasets and supports seamless ETL processes.

When facing tight deadlines, I prioritize tasks based on urgency and impact, effectively communicating with stakeholders to set expectations. I remain methodical, breaking larger projects into manageable tasks, and staying organized to maintain focus and productivity throughout the project.

Recently, I encountered a data discrepancy in a reporting pipeline. I first conducted a root cause analysis by tracing back through logs to identify the source of the issue. Once identified, I implemented proper fixes, updated documentation for clarity, and communicated changes to ensure that the team was informed.

I stay updated on advancements in data technologies by regularly attending webinars, reading industry publications, and participating in online courses. Engaging with professional communities also allows me to learn about emerging trends and best practices relevant to roles like the Analytics Engineer II at Cohere Health.

I have hands-on experience working with several ETL tools such as Apache Spark and DBT, using them to simplify data extraction and transformation processes for various projects. This experience will significantly contribute to my role as an Analytics Engineer II, enabling efficient data management.

Social Determinants of Health (SDOH) data is critical in healthcare analytics as it provides insights into factors that affect health outcomes. Understanding SDOH enables healthcare providers to implement more comprehensive care strategies that address not just clinical needs, but also social influences on health.

Effective cross-functional collaboration requires proactive communication, mutual respect, and understanding the goals of other teams. I focus on building relationships, actively seeking feedback, and clearly articulating how data projects can meet the needs of various stakeholders.

In the event of unexpected changes in project requirements, I would assess the impacts promptly and communicate with relevant stakeholders. By remaining flexible and working collaboratively, I can adapt my approach while ensuring alignment with project goals and timelines.

The ability to contribute to meaningful improvements in patient care motivates me immensely. In healthcare analytics, being able to leverage data to help identify areas for improvement and ensure that patients receive quality care makes my work feel impactful and important.