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Tester: Data Analytics & Technology (Full-time, Remote)

Integrity Management Services, Inc. Open · verified Oct 24, 2026
Remote Alexandria Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Integrity Management Services, Inc. Remote, United States · $45,000–$65,000 base.

SalaryStated by Integrity Management Services, Inc.
$45,000 – $65,000
Base salary for this role, in USD per year, as published in the posting.
This role, from Integrity Management Services, Inc.Our estimate for the market: $80,500–$134,200Median $101,500
Below the market median of $101,500 for mid-level data analysis & BI roles in Alexandria, compared against the Alexandria market.
Worked out from 5 postings that stated pay, median $101,500. Last updated Oct 21, 2026.
RoleData Analysis & BI
SeniorityMid-level
LocationAlexandria
WorkplaceRemote
Base pay$45,000–$65,000
PostedOct 21, 2026 · 3d ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and run manual tests for the assigned analytics tools and technologies
  • Check analytical results, data quality, business rules and tool behavior for accuracy
  • Record defects and test outcomes, then track them through resolution
  • Repeat tests after changes and work with technical teams to address problems

What you bring

  • A bachelor's degree in computer science, information technology, data analytics or a related subject
  • At least four years in software testing, data checks, quality assurance or related technical testing
  • Hands-on experience creating and running manual test cases
  • Testing experience with Python notebooks, SQL outputs, BusinessObjects reports or AI applications

Who this fits

This role suits a hands-on tester who can check analytical results, investigate issues and document findings. It is a full-time remote position with a stated U.S. salary range of $45,000 to $65,000 per year. Experience with healthcare claims or federal healthcare programs is a plus.

From the employer

About Us

www.integritym.com

Integrity Management Services, Inc. (IntegrityM) is an award-winning, women-owned small business specializing in assisting government and commercial clients in compliance and program integrity efforts, including the prevention and detection of fraud, waste and abuse in government programs. Results are achieved through data analytics, technology solutions, audit, investigation, and medical review.

At IntegrityM, we offer a culture of opportunity, recognition, collaboration, and supporting our community. We thrive off of these fundamental elements that make IntegrityM a great place to work. Our small, flexible workplace offers an exceptional quality of life and promotes corporate-driven sustainability. We deliver creative solutions that exceed goals and foster a dynamic, idea-driven environment that nurtures our employees’ professional development. Large company perks…Small company feel!

Position Summary

The Tester will support testing and quality assurance activities for data analytics tools and technologies within a federal healthcare program. The Testers will focus on manual testing, validating analytical outputs, identifying discrepancies, and ensuring tools and processes function as intended. Candidates may specialize in one or more technologies.

Key Responsibilities

  • Develop and execute manual test cases for assigned data analytics tools and technologies.
  • Validate analytical outputs, data accuracy, business rules, and functionality.
  • Identify, document, and track defects and testing results.
  • Perform regression testing and collaborate with technical teams to resolve issues.

Requirements

Minimum Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Analytics, Information Systems, or a related field.
  • Minimum of 4 years of experience in software testing, data validation, quality assurance, or related technical testing.
  • Demonstrated experience developing and executing manual test cases.
  • Experience testing or validating at least one of the following:
    • Python notebooks and analytical processes
    • SQL scripts, queries, and database outputs
    • BusinessObjects reports and analytical outputs
    • AI chatbots, assistants, or AI-enabled applications
  • Strong analytical, troubleshooting, and technical documentation skills.

Preferred Qualifications

  • Experience with Medicare, Medicaid, or healthcare claims data.
  • Working knowledge of SQL or Python.
  • Familiarity with Databricks, Snowflake, or similar enterprise data platforms.
  • Experience supporting federal healthcare programs.

Benefits

This position is eligible for the benefits applicable to full-time regular employees, such as: vacation, sick leave, paid holidays, health insurance, dental insurance, vision insurance, short- and long-term disability, life insurance, employee assistance plan, 401(K) retirement plan, and educational benefits.

U.S. remote annual salary range: $45,000-$65,000/annual

For candidates in jurisdictions requiring range disclosure, this is the good-faith range for this role; final pay may vary by work location and job-related factors such as skills, experience, location, and internal equity. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

IntegrityM is an Equal Opportunity Employer and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, and gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BIRemote$40k+

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Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.