Job title:Business Intelligence Analyst/Developer
Location:Salem, Oregon (Remote)
Duration: 5 Months
Description:
Background and scope of project:
HAL is a Medicaid analytical and reporting SQL data mart solution and data environment managed by the MADI (Medicaid Analytics and Data Integration) Unit housed within the Office of Health Information Technology and Analytics Infrastructure, that exists within the Health Policy and Analytics (HPA) Division of the Oregon Health Authority (OHA).
Medicaid administrative data is primarily made up of 1) medical claims submitted by health providers and Coordinated Care Organizations (CCOs) to receive payment for health services delivered to patients enrolled in Oregon's Medicaid program, which is known as the Oregon Health Plan (OHP) and 2) Medicaid enrollment data from the OHA/ ODHS ONE eligibility system. The raw transactional data are stored in Oregon’s Medicaid Management & Information System (MMIS). HA analysts typically access these data through a MMIS data warehouse solution called Decision Support and Surveillance Utilization Review System (DSSURS), or in the Health Analytics Library (HAL), where the raw Medicaid enrollment and utilization/ claim data are packaged differently into easier to analyze categories and groups for analysis. These analytical value-added elements are not present in DSSURS.
HAL contains Medicaid enrolment and claims data that is accessed by two main sets of users:
- OHA’s Office of Actuarial and Financial Analysis (OAFA) team users, who use the data for setting of per-capita rates of reimbursement of health care services provided by Coordinated Care Organization (CCO’s) to Oregon’s Medicaid population, and various other financial analyses, and.
- Office of Health Analytics’ reporting teams, who access Medicaid enrollment and claims data for the development of different enrollment and utilization analytical and data visualization products.
In 2025, the HPA MADI unit launched a HAL solution modernization project to convert the HAL ETL code from SAS to SQL, as well as to analyze, identify, develop, test and implement other improvements to the HAL data solution. This project has the following objectives:
· Reprogramming, testing and implementing HAL ETL code, currently written in legacy SAS language, into SQL/ Python language, to prepare HAL for receiving ETL data from the new DSSURS environment hosted in AWS and for the future migration of HAL to the OHA ODE (Oregon Data Environment) cloud Azure environment (NOTE: The migration to the ODE cloud, expected to occur in the next 1-2 years, is out of scope for this project and will require working with OIS and other OHA teams)
· Programming, testing and delivering other programming enhancements or programming work items related to HAL architecture, dataflows, tables, views, queries, reports, and ETL logic, including:
o Updating Medicaid claim data tables and reports used predominantly by the Office of Actuarial and Financial Analysis (OAFA) team for rate capitation analyses or to reflect updates in Medicaid national coding standards
o Performing other coding improvements needed by OAFA team users and other HAL users to improve analytical value and capabilities of HAL system data or to reflect changes in Medicaid eligibility, enrolment, benefits, programs, beneficiary and claim administrative coding- these types of improvements have accumulated over time and have reached a point in which they require a focused project and dedicated resources.
Tasks:
Contractor’s Key Person shall
o Working with various program areas and business teams to make code as modular as possible.
o Reviewing and analyzing existing ETL SAS programming code to update to new SQL/ Python language/ procedures
o Developing new SQL stack / stored procedures programming code to create new ETL processes.
o Test, troubleshoot and implement the new ETL code in the HAL test and production environments.
Required skills and experience:
Qualifications: Bachelor’s degree in finance, math, or data science. Hands-on knowledge of database tools SQL. Knowledge of programming languages like Python, Java, and R. Excel, Agile, Data modeling, Data analytics, Data mining, Data visualization. Familiarity with analytical tools like SAS, Hadoop, Spark, Hive, and Pig that may assist businesses in developing a solid BI strategy
Duties and Responsibilities: Extraction and analysis of company information, primarily financial, personal, expense, and revenue reports. Writing data collection and processing procedures. Ensuring that data is being correctly gathered, stored, and analyzed. Reporting data findings to management. Continually monitor data collection. Develop methodologies to improve data analysis.