Sr. Data Analyst (Full-time, Remote)

Integrity Management Services•Alexandria, VA

6d•Remote

About The Position

Integrity Management Services, Inc. (IntegrityM) is a women-owned small business that supports government and commercial clients with compliance and program integrity, including efforts to prevent and detect fraud, waste, and abuse. Its work combines data analytics, technology solutions, audit, investigation, and medical review. The company describes its workplace as flexible, collaborative, supportive of professional development, and committed to corporate-driven sustainability. The Senior Data Analyst uses healthcare systems and claims expertise, particularly with Medicare and Medicaid, to provide analytical data support independently and in collaboration with Statistical and Data Analysts. The role develops and applies analytical approaches and fraud detection models, investigates patterns and anomalies in healthcare data, and performs targeted analyses using tools such as Python, R, SQL, and SAS. The analyst also tracks relevant policy changes, supports project testing and delivery, provides technical guidance and peer review, and prepares detailed analytical reports. The role may include serving as a Team Lead, coordinating project activities and team performance, and acting as a primary client liaison. This is a full-time remote position. The U.S. remote annual salary range is $70,000–$100,000; actual compensation may vary based on factors including experience, location, and contractual requirements. Remote workers must have wired and/or wireless internet access. Candidates must pass post-hire background screening and be able to obtain security clearance if required by the client or contract.

Requirements

A four-year degree in statistics, mathematics, computer science, or a related field, or at least six years of data analysis experience in the healthcare industry.
Six years of professional experience working with large and complex data sets.
Advanced knowledge of analytic, mathematical, and statistical methods.
Experience with healthcare claims data, specifically Medicare and Medicaid claims.
Experience or understanding of ICD-10 codes, HCPCS, and Diagnosis Related Groups (DRG).
Ability to merge disparate datasets and use INNER, LEFT, and RIGHT joins, COALESCE(), CAST(), and SAS functions such as SUBSTR(), LAG(), and PROC SQL.
Relevant experience in a health-related, scientific, or public policy/business discipline with extensive quantitative methods or statistical knowledge.
Proficiency in SAS, Python, R, and/or SQL.
Proficiency with Microsoft Office products such as Excel, Word, PowerPoint, and Outlook.
Knowledge of analytic methodologies and principles and program integrity data analytics.
Ability to respond to tasks or requests cooperatively and in a timely manner.
Adaptability to change and ability to initiate or identify change when necessary.
Strong customer service, organizational, and analytical skills.
Ability to perform complex mathematical calculations.
Excellent leadership and presentation skills.
Ability to work independently and as part of a team to deliver high-quality work.
Ability to multitask, prioritize assignments, and meet deadlines.
Must pass post-hire background screening checks.
For remote work, must have wired and/or wireless internet access.
Ability to obtain security clearance if required by the client or contract.

Responsibilities

Develop and implement models and analytical approaches to support Medicare and Medicaid fraud, waste, and abuse detection.
Apply healthcare data and policy expertise to hypothesize the data footprints of known fraud schemes, design and execute tests to validate those hypotheses, and use findings to build fraud detection models.
Detect anomalies and investigate potential indicators of fraudulent activity in healthcare data.
Identify outliers and patterns consistent with fraud, waste, or abuse.
Construct advanced models for targeted analysis using tools such as Python, R, SQL, and SAS.
Extract and manipulate Medicare, Medicaid, and other healthcare claims data housed in cloud environments using appropriate software tools.
Design and execute targeted analyses and develop related materials to support project goals.
Maintain knowledge of Medicare and Medicaid policies and evaluate policy changes for their implications on fraud detection models, adjusting methodologies as needed.
Participate in and support testing sprints and related project initiatives.
Provide subject matter expertise and guidance to Statistical and Data Analysts.
Assist with task execution and ensure the quality of project deliverables through peer review and technical assistance.
Prepare detailed analytical reports.
May serve as a Team Lead, planning, coordinating, and documenting project activities, managing team performance, and serving as a primary client liaison.