Healthcare Data Analyst (SQL, SAS) at Burgeon IT Services Minneapolis, MN

Burgeon IT Services; Minneapolis (MN); Hybrid; USD 88,000 - 128,000; Full time

Job summary

Burgeon IT Services in Minneapolis, MN is seeking a Healthcare Data Analyst to leverage SQL, SAS, and cloud platforms to improve data quality and reporting. The role supports cross‑functional teams with ETL, dashboards in Power BI/Tableau, and advanced analytics, with remote or on‑site options and flexible hours from 8 AM to 4 PM.

Candidates should have a relevant degree, 4+ years of experience, strong communication, and familiarity with big data tools such as Hadoop, Teradata, Hive, AWS, and

Qualifications

• Must hold a Bachelor's degree in a related field.
• 4+ years of experience as a data analyst, data scientist, or data engineer.
• Proficiency in constructing complex SQL queries.
• Strong communication skills to present findings and influence change.
• Hands-on experience with data platforms such as Microsoft SQL Server, SAS Fusion, Hadoop, Teradata, Hive, AWS, and Azure.
• Familiarity with BI tools such as Power BI, Tableau, and iDashboards.
• Preferred: SAS/Teradata/Microsoft certifications and advanced degree.

Responsibilities

• Assist teams in transitioning Financial Systems data into ETL or data warehouse platforms.
• Develop programs and automated processes for reporting and dashboarding data quality metrics.
• Conduct research to devise metrics and analytical methods for data quality, automated testing, and validation processes.
• Create advanced techniques for anomaly detection, pattern analysis, change point detection, and threshold measurement.
• Perform exploratory data analysis to establish data baselines and thresholds for summary reporting.

Skills

Strong communication

Data storytelling

Analytical thinking

Education

Bachelor's degree in Data Science/Analytics/Math/Statistics/CS

Advanced degree (preferred)

Tools

SQL

SAS

SAS Fusion

Hadoop

Teradata

Hive

AWS

Azure

Power BI

Tableau

iDashboards

GitHub

ETL

Data Warehouse

Job description

Healthcare Data Analyst (SQL, SAS) job at Burgeon IT Services. Minneapolis, MN.

Salary: $88,000 - 128,000 per year

Requirements

• Bachelors degree in Data Science, Analytics, Mathematics, Statistics, or Computer Science
• Over 4 years of experience as a data analyst, data scientist, or data engineer
• Proficiency in constructing complex SQL queries
• Strong communication skills to present findings and influence change
• Hands‑on experience with data platforms such as Microsoft SQL Server, SAS Fusion, Hadoop, Teradata, Hive, AWS, and Azure
• Familiarity with business intelligence tools such as Power BI, Tableau, and iDashboards
• Preferred: Experience in data storytelling and presenting to Senior Management or Executive Leadership
• Preferred: Certifications like SAS Certification, Teradata Vantage Certification, or Microsoft Certified Professional
• Preferred: Advanced degree in Data Science or Analytics
• Preferred: Experience with GitHub and Agile Methodology

Responsibilities

• Assist various teams in transitioning Financial Systems data into ETL or data warehouse platforms
• Develop programs and automated processes for reporting and dashboarding data quality metrics
• Conduct research to devise metrics and analytical methods for data quality, automated testing, and validation processes
• Create advanced techniques for anomaly detection, pattern analysis, change point detection, and threshold measurement
• Perform exploratory data analysis to establish data baselines and thresholds for summary reporting

Technologies

• AWS
• Azure
• Big Data
• Business Intelligence
• Data Warehouse
• ETL
• GitHub
• Hadoop
• Hive
• Support
• Power BI
• Python
• SAS
• SQL
• Tableau
• Cloud
• MS Teams

More

We are seeking a Senior Data Analyst to join our Data Science Solutions and Strategy (DS3) Team within United Healthcare Controllership. This role, based in Minneapolis, can be fulfilled remotely or on-site, offering flexible hours from 8 AM to 4 PM. Our DS3 team consists of approximately 35 skilled individuals, with a direct team of 5‑7 members proficient in big data technologies like Hive, Hadoop, and Teradata, and proficient in programming languages including SAS, SQL, Python, and R. We are dedicated to maintaining high data quality standards while delivering data analysis, metrics, and reports to support key organizational initiatives.