Principal Business Intelligence Analyst

Carrum Health•,

1d•Remote

About The Position

We are seeking a detail-oriented Business Intelligence Analyst to join our Analytics team to help unlock additional commercial analytics and reporting capabilities. In this role, you'll work with complex datasets to derive meaningful insights, support data-driven decision-making, and contribute to mission-critical automation efforts, specifically with our provider and commercial teams.

Requirements

10+ years in business intelligence, analytics engineering, or data analytics, with a strong bias toward building automated, scalable solutions rather than one-off analysis.
Expert-level SQL: writing complex, optimized queries across large datasets, building reusable CTEs and modular logic, and thinking in terms of data models rather than query outputs.
Advanced Tableau skills: building dashboards with attention to performance, usability, and visual clarity.
Hands-on experience with Snowflake and at least one other cloud warehouse or query engine such as Athena, BigQuery, or Redshift.
Real experience working with healthcare claims data: understanding CPT codes, diagnosis codes, episode structures, and data quality challenges.
Python proficiency for analytics automation: writing scripts to automate report generation, data validation, and pipeline orchestration.
A strong instinct for data quality and a track record of building validation checks, anomaly detection, and documentation into work.
Exceptional attention to detail and ability to manage interconnected numerical datasets.
Strong organizational skills with ability to manage multiple projects simultaneously.
Bachelor's degree in Business, Analytics, Statistics, or related field.
Entrepreneurial and resourceful qualities — ability to find creative ways to make a big impact quickly and without much direction.
Experience handling deadlines, keeping many balls in the air, and prioritizing work in a fast-paced, dynamic environment.
Passion for collaborating cross-functionally with sales, operations, client success, data, and product teams to ideate, complete projects, and drive impactful results.

Responsibilities

Automate processes before manually performing them multiple times, building pipelines and collaborating with engineers to fix manual work at scale.
Ensure accuracy of analysis, validating work before shipping, documenting logic, and flagging uncertainty.
Collaborate to build data models and reporting infrastructure that answer categories of questions, not single requests.
Be resourceful and self-directed, finding data, making reasonable assumptions, documenting them, and delivering useful outputs while iterating towards perfection.
Translate complex analytical outputs into clear business narratives for stakeholders.