Senior II, Analytics Engineer - Pittsburgh, PA

Job Description

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Job :
Status:
Full-Time
Regular/Temporary:
Regular

Shift: Day Job
Work Arrangement:
Hybrid Work Arrangement information
Facility:
Corporate Finance
Department: HSD Central Finance

Location:

3600 Forbes Ave, Pittsburgh, PA
Union Position:
No
Salary Range: $  USD

Purpose:

The Data Analyst Senior II, Data Analytics & Fraud Forensics reports to the Manager, Data Analytics & Fraud Forensics. The Senior II's primary responsibility is to execute high quality data analytics projects in support of Internal Audit, Compliance, and Fraud Team engagements, in a timely manner and in accordance with professional standards and occasionally overseeing more junior staff. Accountable for departmental data analytics and fraud investigation tools, the Data Analytics & Fraud Forensics team is responsible for leveraging organizational data for analysis, monitoring, investigation, and planning activities.

The Senior II is accountable for producing work papers and deliverables (such as reports and data visualizations) that are professionally written for an executive audience and that reflect an understanding of company objectives and capabilities, control requirements, and industry best practices. The position is responsible for maintaining connections to, and proficiency in, established organizational data repositories to facilitate data analytics work.

The Senior II is also responsible for leading various computer forensic and investigative activities in support of Fraud Team investigations and coordination with technical resources in the Information Security and Information Services departments. The Senior II is also responsible for assisting the manager with training the staff in data analytics tools and techniques. Senior II is able to evidence leadership capabilities to facilitate change in a constructive and collaborative manner.

This position will be expected to lead complete projects including meetings with departmental and external management.

The position is located in Pittsburgh PA and is a flexible hybrid role with some in-person presence required.

Responsibilities:

Department Goals:
Successfully manages many competing demands and is able to monitor that individual work is delivered on time and within budgeted hours. Enhance the culture through the execution of analytics. Meets departmental goals for productivity.
Leadership:
Participates in departmental and organizational special projects. Possesses basic public speaking / presentation skills and is comfortable leading opening and closing meetings, including explaining issues to clients. Builds and maintains collaborative relationships with peers outside of the department who are central to furthering Data Analytics initiatives (i.e. data warehouse teams, information security, etc.). Proactively fosters an understanding of, and monitors changes in, the Data Analytics and Healthcare industries.
Monitors project work for timeliness and adherence to departmental quality standards and validates evidence is organized to fully support conclusions and findings. Identifies root cause of issues and proposes valuable and effective solutions, with knowledge of the UPMC organization. Reviews all work papers as appropriate and prepares deliverable drafts for review by Discipline or Department Management, ensuring professional writing and value-added industry perspective.
Risks & Industry: Identifies and contributes analytic approaches to improve risk assessment and perform targeted monitoring. Able to conduct a walk-through to understand key business processes and their risks, the data generated from the business process, and how the appropriate use of that data within analytics. Demonstrates a fundamental understanding of business processes and is able to create or supervise a preliminary process flow to review with the client.

Contributes to ongoing departmental goal of entity-wide risk identification.
Technology:
Possesses fundamental knowledge of analytical techniques, computer and mobile forensics, data querying and manipulation technologies, business intelligence and data visualization tools. Works with the Manager to distribute technical and procedural knowledge across the team and identify relevant training where needed. Able to research and analyze new and complex business, regulatory, clinical, IT, and operational processes to identify key data analysis opportunities and risks and explain them to non-technical personnel.

Stays current with new and emerging technologies in data analysis and changes in the Organization's IT systems. Identifies opportunities for…