Remote BI Analyst/Developer ETL Modernization (SQL/Python)

nLeague; Salem (OR); On-site; USD 80,000 - 100,000; Full time

Job summary

nLeague is seeking a Business Intelligence Analyst/Developer to modernize ETL processes for the Health Analytics Library (HAL). The role requires proficiency in SQL and Python, focusing on converting legacy SAS pipelines. The contract begins full-time in July 2026, shifting to part-time as hours cap approaches.

Responsibilities include analyzing data systems, documenting requirements, and developing data pipelines. Candidates should possess a Bachelor's degree in finance, mathematics, or data science and advanced data analysis skills.

Responsibilities

• Analyse the HAL data system, reviewing documentation and ETL processes.
• Collaborate with teams to identify business and technical requirements.
• Gather and document system, data, and integration requirements.
• Design and implement data pipelines using ETL processes and SQL tables.
• Migrate SAS ETL processes to SQL/Python stack and stored procedures.
• Test, troubleshoot, and implement new ETL code.

Skills

SQL programming language

Python programming language

Advanced data analysis skills

Experience with Microsoft DevOps, GIT

SAS programming language (preferred)

Experience using Jupyter Notebooks

Data warehousing knowledge

Good communication skills

Familiarity with analytical tools (Hadoop, Spark)

Excel proficiency

Agile proficiency

Data modeling and data mining

Data visualization proficiency

Education

Bachelor’s degree in finance, mathematics, or data science

Job description

nLeague is seeking a Business Intelligence Analyst/Developer to modernize ETL processes for the Health Analytics Library (HAL). The role requires proficiency in SQL and Python, focusing on converting legacy SAS pipelines. The contract begins full-time in July 2026, shifting to part-time as hours cap approaches.

Responsibilities include analyzing data systems, documenting requirements, and developing data pipelines. Candidates should possess a Bachelor's degree in finance, mathematics, or data science and advanced data analysis skills.