Analytics Data Integration Developer- Senior (Remote)

UPMC; Pittsburgh (Allegheny County); Remote; USD 80,000 - 110,000; Full time

Job summary

An established industry player is seeking a Senior Analytics Data Integration Developer to join their Health Economics team. This full-time remote role focuses on developing high-quality data sources to support operations and analytics. Ideal candidates will collaborate with stakeholders, build repeatable data layers for strategic analysis, and educate colleagues on data solutions. With a strong emphasis on SQL and SAS, alongside visualization tools and cloud platforms, this position offers an exciting opportunity to make a significant impact in the healthcare sector. If you're detail-oriented and passionate about data, this role could be perfect for you.

Qualifications

• 5+ years of experience in data integration and analytics, preferably in healthcare.
• Proficiency in SQL/SAS for data manipulation and extraction.

Responsibilities

• Develop complex integrated data sets for analysis and decision support.
• Validate data quality and investigate errors to propose solutions.

Skills

SQL

SAS

R

Data Visualization (Power BI, Tableau, QlikView)

Cloud Platforms (Snowflake, Azure)

Problem-Solving

Communication

Time Management

Education

Bachelor’s degree in information systems or healthcare management

Master’s degree

Tools

Power BI

Tableau

QlikView

Snowflake

Azure

Job description

Analytics Data Integration Developer - Senior (Remote)

UPMC Health Plan has an exciting opportunity for a Senior Analytics Data Integration Developer position within the Health Economics team. This is a full-time, remote role, working Monday through Friday during daylight hours.

The Senior Analytics Data Integration Developer will be responsible for developing and maintaining high-quality data sources to support operations and analytics. The role requires collaboration with stakeholders to understand organizational needs, building repeatable and consumable data layers for health economics activities such as strategic analysis, predictive modeling, and program evaluation. The ideal candidate is curious, detail-oriented, self-motivated, and able to work independently and in teams. They will also help educate colleagues on existing data solutions.

Responsibilities include:

1. Developing complex integrated data sets for analysis, data science, and decision support.
2. Validating data quality and ensuring standards are met.
3. Investigating data errors and variances, proposing solutions.
4. Recommending data extraction and manipulation methodologies.
5. Providing technical consultation to peers and leadership.
6. Training new staff and maintaining project documentation.
7. Meeting deadlines, possibly requiring extended hours.
8. Maintaining communication and relationships across departments.
9. Adhering to policies and procedures.
10. Supporting team leadership with work distribution.

Key Skills and Experience:

• Proficiency in SQL and/or SAS; experience with R is a plus.
• Experience with large data set extraction, manipulation, and management.
• Strong problem-solving, communication, and time management skills.
• Attention to detail and ability to work in a fast-paced environment.
• Experience with visualization tools (Power BI, Tableau, QlikView) and cloud platforms (Snowflake, Azure) is highly desirable.

Minimum Qualifications:

• Bachelor’s degree in information systems, healthcare management, or related field; Master’s preferred.
• At least five years of relevant experience, preferably in healthcare or a related industry.
• Proficiency in SQL/SAS and data manipulation.
• Experience with visualization tools and cloud data platforms is a plus.
• Act 34 clearance required.

Additional Information:

• Seniority level: Mid-Senior
• Employment type: Full-time
• Industry: Hospitals and Healthcare

Referrals can double your chances of interviewing. UPMC is an Equal Opportunity Employer.