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Analytics Data Integration Developer, Associate- Hybrid

Remote:

Full Remote

Work from:

United States

Offer summary

Qualifications:

Bachelor's degree in relevant field, Minimum of three years experience, Technical proficiency in SQL or SAS, Experience with data visualization tools preferred.

Key responsabilities:

Develop data integration processes and dashboards
Provide technical consultation and training

UPMC XLarge https://www.upmc.com/

10001 Employees

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Job description

Purpose:

The Analytics Data Integration Developer, Associate creates programming, data set infrastructure, and other technical processes to integrate healthcare data elements from disparate sources throughout the UPMC enterprise. This integration results in a layer of information that fuels health economics activities including strategic analysis, predictive modeling, and clinical program evaluation.

UPMC Health Plan is hiring a full-time Analytics Data Integration Developer, Associate for their Government Programs Operations Encounter Data Reporting Team. In this position, you will use knowledge and understanding of medical claims data, data systems, and Microsoft Power Platform to build tools to support team functions, build data dashboards to drive operational insight, and conduct analysis to optimize the performance of encounter data reporting functions.

This position is hybrid and will require travel into the office located in Downtown Pittsburgh based on business needs.

Responsibilities:

Adopt and promote best practices, tools, and methods set by team/department leadership/UPMC IT Center of Excellence.
Develop data extraction and integration processes to support analysis, Power apps, dashboards, and process monitoring.
Develop and maintain Power Apps for the Encounter Analyst team. This includes developing SQL programming to pull data, developing processes to load data and use the Power App working with other team members to create user documentation, and maintaining Power Apps/fixing bugs.
Develop and maintain dashboards using Power BI to monitor operational outcomes.
Maintain up-to-date information on the status and effort related to each project. Meet deadlines and turnaround times set by the supervisor. (These deadlines will, at times, require the employee to work until the project is completed, meaning extended daily work hours, extended work weeks, or both.)
Develop and maintain working relationships with internal UPMC Health Plan departments, and external contacts as appropriate.
Provide technical consultation and act as a reference point to peers, other business areas, senior leadership, and external customers. Assist with orientation and process-specific training of new staff members.
Advise peers about existing programming that may be relevant to current/upcoming projects or data requests.
Investigate data errors/variances and derive solutions with appropriate follow-up monitoring.
Perform validation and peer review of data sets created by fellow team members.
Make recommendations for optimal data extraction, manipulation, and integration methodologies based on research and analysis.

Minimum:

Bachelor's degree in information systems, data management, healthcare management, business, or related field. Master's or other advanced degree is preferred.
Experience: A minimum of three years of work experience in information technology, healthcare, business, or research is required. Experience in health insurance or healthcare industry is preferred, but those with relevant experience in other industries may be considered.
Experience and technical proficiency in SQL and/or SAS programming is required. Experience with other programming languages used in data science (such as R) is valuable. Extensive experience in other programming languages may be considered.
Experience with extraction and manipulation of large, complex data sets is required.
Experience managing/preparing data sets for use in analysis, modeling, or business operations is required.
Experience with Microsoft Office products (particularly Excel) is required.
Experience with data visualization tools (such as Tableau, QlikView, or PowerBI) is valuable.
Experience with geo-mapping software (such as ArcGIS) is valuable.
Intermediate-level problem-solving skills are required.
The ability to effectively communicate issues and results, verbally and in writing, is required.
The ability to use effective time management skills, including prioritization multiple tasks, is necessary for success.
Attention to detail is critically important in this role.
Ability to succeed in a fast-paced, ambiguous/fluid environment.
A strong customer/stakeholder focus is expected at all times.
The successful Analytics Data Integration Developer, Associate is a team player that displays professionalism at all times.Ability to work extra hours if required.