VALID8 Financial
Senior Business Intelligence Developer
VALID8 Financial, Snowflake, Arizona, United States, 85937
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 industrys only PBX TM , 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. 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
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
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 bachelors degree, with record of strong academic performance in Computer Science, Actuarial Science, Statistics, or Economics preferred Location
Remote #J-18808-Ljbffr
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 industrys only PBX TM , 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. 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
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
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 bachelors degree, with record of strong academic performance in Computer Science, Actuarial Science, Statistics, or Economics preferred Location
Remote #J-18808-Ljbffr