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Diverse Lynx

QA analyst with Power BI

Jersey City, NJ · On-site

QA Analyst With Power BI Experienced QA Business Analyst with 9 years in Power BI reporting, validation, and enterprise analytics across Healthcare, PC Insurance, and Banking. Skilled in gathering ...

Innosoul inc

Power BI Developer

Raleigh, NC · Hybrid

... Data quality assurance and accuracy checking Required 5 Years Maintaining data dictionaries ... Analyze trends in drug pricing, cost drivers, submission patterns, and non compliance risks to ...

Apex Systems

QA Analyst

Eden Prairie, MN · Remote

$30 - $34/hr

Job#: 3031487 QA Analyst - Business Intelligence (Remote) 1 year contract Pay Rate: $30-34/hr Are ... Hands-on experience with BI tools such as BusinessObjects, Power BI, Tableau, or Cognos * Strong ...

Futran Tech Solutions Pvt. Ltd.

Data QA Analyst

Data QA Analyst Remote Role C2H (Only W2) What You Will Do: Review and analyze functional and ... Experience with Power BI and SSRS. Experience with Jira, Scrum, and Kanban. Experience in ...

VISTRUE LLC

Quality Assurance Analyst

Oldsmar, FL · On-site

Vistrue and ASG believe deeply in the power of people and data to grow great organizations, and ... Understanding of uni-directional and bi-directional APIs and how they work * Experience with QA ...

True Helix

Quality Assurance Analyst

Delmont, PA

My Account Job Openings >> Quality Assurance Analyst Quality Assurance Analyst Summary Title ... Powered by ApplicantStack Employment Application Software Privacy Policy | Terms of Use

Samprasoft

Senior QA Analyst

Washington, DC · On-site

Sr. QA Analyst The Sr. Quality Assurance (QA) Analyst will work on multiple programs/systems ... Participates in bi-weekly meetings with IT department * Document testing protocols * Assure ...

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How much do qa analyst power bi jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for qa analyst power bi in the United States is $40.04, according to ZipRecruiter salary data. Most workers in this role earn between $28.61 and $49.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a QA Analyst specializing in Power BI, and why are they important?

To thrive as a QA Analyst Power BI, you need a solid understanding of software quality assurance, data analytics, and experience with Power BI, often supported by a degree in computer science or a related field. Familiarity with Power BI, SQL, DAX, and automated testing tools, as well as certifications like Microsoft Certified: Data Analyst Associate, are typically required. Strong analytical thinking, attention to detail, and clear communication skills help you identify issues and collaborate effectively with development and business teams. These skills ensure data accuracy, reliable reporting, and high standards for business intelligence solutions.

How does a QA Analyst specializing in Power BI typically collaborate with business analysts and developers during a project?

As a QA Analyst focusing on Power BI, you’ll work closely with business analysts to understand reporting requirements and with developers to ensure data models and dashboards meet those specifications. Collaboration often involves reviewing design documents, participating in requirement-gathering sessions, and providing feedback during development sprints. You’ll also coordinate testing activities, validate data accuracy, and report any discrepancies or bugs to the development team for resolution. Effective communication and a strong understanding of both business needs and technical processes are essential for success in this role.

What does a QA Analyst specializing in Power BI do?

A QA Analyst specializing in Power BI is responsible for ensuring the quality and accuracy of data reports, dashboards, and business intelligence solutions developed using Power BI. They design and execute test cases, validate data transformations, and check the functionality and usability of Power BI reports. Their goal is to identify defects, ensure data consistency, and verify that the final outputs meet business requirements. They often collaborate closely with developers, data analysts, and business stakeholders to ensure optimal data quality and reporting performance.

What is the difference between Qa Analyst Power Bi vs Qa Tester?

AspectQa Analyst Power BiQa Tester
Primary FocusData analysis, reporting, and dashboard creation using Power BIManual and automated software testing to identify bugs
Required SkillsPower BI, data analysis, SQL, testing basicsTesting methodologies, scripting, bug tracking tools
Work EnvironmentData-driven projects, collaboration with analysts and developersSoftware development teams, testing labs
CertificationsPower BI certifications, ISTQB (optional)ISTQB, software testing certifications

While Qa Analyst Power Bi focuses on analyzing data and creating reports to support quality assurance processes, Qa Tester primarily conducts manual and automated testing to find software bugs. Both roles require understanding of testing principles, but Qa Analyst Power Bi emphasizes data skills and reporting, whereas Qa Tester emphasizes testing techniques and bug tracking.

Infographic showing various Qa Analyst Power Bi job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 75% Full Time, 17% Part Time, 1% Temporary, and 5% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $83,275 per year, or $40 per hour.
QA analyst with Power BI

QA analyst with Power BI

Diverse Lynx

Jersey City, NJ • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

QA Analyst With Power BI

Experienced QA Business Analyst with 9 years in Power BI reporting, validation, and enterprise analytics across Healthcare, PC Insurance, and Banking. Skilled in gathering, documenting, and validating functional requirements, developing dashboards, conducting QA testing, and debugging Power BI reports to ensure data accuracy and high performance. Hands-on experience performing SQL-based validations, KPI reconciliations, and end-to-end UAT for enterprise dashboards. Strong ability to translate complex business logic into clear requirements, process flows, decision rules, and data mapping documents. Experienced in conducting JAD sessions, requirement workshops, and SME interviews to clarify KPIs, business logic, and workflow gaps. Proficient in documenting as-is and to-be process flows for clinical operations, underwriting workflows, payment routing, and escalation paths. Deep understanding of Healthcare processes including claims, EMR integrations, eligibility, care gaps, HEDIS metrics, and provider performance reporting. Strong domain experience in PC Insurance including underwriting risk logic, loss analytics, severity metrics, and claim lifecycle reporting. Solid Banking domain expertise covering payments, ACH flows, exception handling, deposits, reversals, and customer analytics. Skilled in performing GAP analysis across legacy and modernized reporting systems to identify inefficiencies and standardization needs. Experienced in validating business rules, KPIs, and reporting outputs using SQL across Azure, AWS, Snowflake, and on-prem systems. Adept at creating KPI dictionaries, metric definitions, data mapping sheets, lineage diagrams, and dependency matrices. Strong collaboration with data engineering, QA, BI, and product teams to ensure accurate rule implementation and analytics delivery. Proven ability to improve reporting accuracy by identifying mismatches, edge cases, and transformation logic defects. Experienced supporting Agile frameworks including sprint planning, backlog grooming, sprint demos, and release readiness. Proficient in Azure DevOps, Confluence, Visio, SharePoint, and Excel for documentation, tracking, and workflow management. Recognized for bridging the gap between business and technical teams by simplifying complex data concepts into clear, actionable requirements for engineering and BI teams. Proven track record of improving decision-making by standardizing KPIs, aligning business rules, and enhancing reporting accuracy across multiple enterprise programs. Proven ability to collaborate with data engineering, QA, business, DevOps, and security teams to ensure stable, accurate, and high-quality data delivery.

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About Diverse Lynx

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Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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