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SlateRx

SlateRx

via Indeed

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Senior Business Intelligence Developer

Anywhere
full-time
Posted 9/4/2025
Verified Source
Key Skills:
SQL
Power BI
Tableau
Data Analysis
Business Intelligence
Data Visualization
Technical Leadership
Cross-Functional Collaboration
Data Validation
Project Management

Compensation

Salary Range

$120K - 160K a year

Responsibilities

Design and develop BI reports and dashboards, analyze complex healthcare data, collaborate cross-functionally, lead technical BI efforts, and ensure data quality.

Requirements

8+ years BI experience with strong healthcare metrics knowledge, advanced SQL skills, mastery of Tableau, technical leadership, and ability to work with diverse teams.

Full Description

Position: Senior Business Intelligence Developer Company Bio: Founded by industry pioneers, SlateRx provides simple and affordable pharmacy benefit programs to employer groups, unions, public sector groups, health systems, and other payers throughout the United States. As the industry's only PBXTM, SlateRx is creating real value for plan sponsors on day one through purchasing scale and continued management via innovation and transparency. Our model is designed to improve an out-of-touch healthcare model to make pharmacy benefits simple and affordable for plan sponsors and members. Job Overview: As the Senior Business Intelligence Developer, you will play a pivotal role in delivering innovative, high-quality solutions and actionable insights to our clients and business partners. You will be leveraging your expertise in translating complex healthcare data into clear, actionable intelligence for our diverse user base. Collaborating closely with cross-functional teams, you will drive the success of our organization, enhance member health outcomes, and contribute to the growth of our organization. Responsibilities: As Senior Business Intelligence Developer, your key responsibilities will include: • Reporting & Dashboard Development: Design, develop, and maintain insightful reports, interactive dashboards, and compelling visualizations using leading BI tools (e.g., Looker, Tableau, Power BI) for various stakeholders, including hospital providers, managed care organization operators, healthcare providers, and healthcare executives. • Data Analysis & Insights: Conduct deep-dive analyses on large, complex healthcare datasets to identify trends, opportunities, and areas for improvement related to patient outcomes, medical costs, financial performance, and operational efficiency. • SQL & Database Proficiency: Write complex, optimized raw SQL queries to extract, transform, and load data from various relational and non-relational databases, ensuring data accuracy and performance. • Healthcare Domain Expertise: Apply exceptional knowledge of healthcare metrics, statistics, HCC coding, DRG coding, and the operational intricacies of various commercial and government healthcare plans (e.g., Medicare, Medicaid, commercial payers) to contextualize data and generate relevant insights. • Data Structure Understanding: Leverage a strong understanding of how healthcare data is structured across different sources (e.g., claims, EMRs, clinical notes) to effectively integrate and analyze information. • Cross-Functional Collaboration: Partner seamlessly with data engineers, product managers, clinical experts, and executives to understand their analytical needs, deliver tailored solutions, and provide expert data interpretation. • Requirements Gathering: Lead sessions to define reporting and analytical requirements from business users, translating their needs into technical specifications and data models. • Quality Assurance: Implement robust data validation and quality assurance processes to ensure the accuracy and reliability of all reports and dashboards. • Technical Leadership: Provide guidance and mentorship on BI best practices, data visualization techniques, and analytical methodologies to junior analysts and cross-functional partners. • Hiring & Onboarding: Participate in interviewing and onboarding new team members, helping to grow a world-class data and BI organization. • Other duties as assigned. Qualifications: To excel in this role, you should possess the following qualifications: • 8+ years of deep, hands-on experience as a Business Intelligence Analyst, Data Analyst, or a similar role, with a strong focus on delivering actionable insights. • Exceptional knowledge of healthcare metrics and statistics, including an in-depth understanding of how various commercial and government healthcare plans operate. • Extreme proficiency with databases, including how to access them and the ability to write complex, raw SQL queries for data extraction and manipulation. • Mastery of various BI visualization tools, specifically Tableau. • Comprehensive understanding of how healthcare data is structured across different systems and formats. • Intimate knowledge of and ability to implement data validation, quality assurance, and testing strategies for BI deliverables. • Experience providing technical leadership and guidance, and thinking strategically and analytically to solve complex business problems. • Friendly communication skills and ability to work well in a diverse, cross-functional team setting. • Demonstrated experience working with many cross-functional partners (Product, Engineering, Clinical Teams, Executives). • Demonstrated experience leading the analytical vision and delivery plan for a business intelligence product or component. Preferred Qualifications • Strong actuarial background or related experience in risk assessment and financial modeling within healthcare. • Direct experience having worked at a health plan (commercial, Medicare Advantage, Medicaid, or self-funded employer plans). • Knowledge of various standard plan formats (e.g., X12, HL7, FHIR, custom payer feeds). • Experience with big data technologies and cloud data platforms (e.g., Google Cloud Platform, AWS, Snowflake, Databricks). • Proficiency in scripting languages like Python for data manipulation and automation. • Experience with statistical analysis and predictive modeling. Education: • Undergraduate bachelor's degree, with record of strong academic performance in Computer Science, Actuarial Science, Statistics, or Economics preferred License Requirement: Job Benefits: Health, Dental, Vision, Life, 401k, Paid Time Off. Location: Remote

This job posting was last updated on 9/9/2025

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