Offer summary

Qualifications:

Proficiency in Apache Superset or similar BI tools., Expertise in SQL and experience with Python and GraphQL., Strong analytical thinking and problem-solving abilities., Excellent communication skills for presenting findings to diverse audiences..

Key responsibilities:

Create and maintain interactive dashboards and visualizations using Apache Superset.

Design charts and tables to identify trends and patterns from raw data.

Process and prepare data for reporting and execute SQL queries for insights.

Manage user permissions and support stakeholders in understanding data through visualizations.

Job description

About Cerula Care

Cerula Care is the first digital health company focused on providing integrated behavioral health (BH) services to people living with cancer. More than 22M people living with cancer have behavioral health needs such as anxiety, depression, substance use disorder, and PTSD. We integrate with oncology practices and health systems through the Collaborative Care Model (CoCM) to wrap our members with a behavioral health team, care programming, and outcomes analysis.

The Collaborative Care Model is an evidence-based clinical model that has been shown to successfully improve mild to moderate behavioral health needs more effectively than the current standard of care. Our care team enhances the traditional CoCM care team by adding a Health Coach (i.e., a health coach focused on holistic behavioral health), given our strong conviction in the benefit of health coaching and wellness in this population. With the right coaching program customized to our members, we will be able to improve our members’ behavioral health above and beyond traditional CoCM models.

Why Choose Cerula Care

We understand choosing a place to work or consult is a really important decision, and we want you to know that we do not take it lightly on your behalf – we welcome all your questions as you go through the decision process!

A few things to know about working at Cerula Care:

Our culture is very collaborative, transparent, supportive, and feedback-driven. All of us (yes all of us – including and especially our co-founders) are open to receiving and giving feedback in a helpful way to ensure we each grow and learn every day and importantly are always improving for the sake of our members and each other.
We have a big mission to accomplish and we want people who believe in that mission to join us. However, in joining our mission, we are not asking you to give up other parts of your life - we all have our lives outside work, and we absolutely respect each other’s needs.

Business Intelligence Analyst

Job Description:

We're seeking a skilled Business Intelligence Analyst with expertise in Apache Superset to create insightful data visualizations and reports that drive business decisions.

Key Responsibilities:

Create and maintain interactive dashboards and visualizations using Apache Superset for data analysis and exploration workflows
Design and develop charts, tables, and other visualizations to identify key trends and patterns from raw data to aid in decision-making processes
Configure and connect to various SQL-speaking databases to query and visualize data effectively
Process and prepare data for reporting, ensuring it's properly structured for visualization
Execute SQL queries to explore data and deliver valuable insights to guide company policies, decisions, and strategies
Create alerts and notifications by setting specific conditions at particular schedules
Manage user permissions and access controls for dashboards and reports
Support business analysts, data scientists, and stakeholders in understanding data through visualizations
Interact with GraphQL api for data validation and exploration

Required Skills:

Proficiency with Apache Superset or similar BI tools
Expert in SQL language
Experience with Python and GraphQL
Understanding of data visualization principles and best practices
Experience connecting to various database types (MySQL, PostgreSQL, etc.)
Strong analytical thinking and problem-solving abilities
Ability to identify trends and patterns in complex datasets
Excellent communication skills to present findings to both technical and non-technical audiences