MDM QA Analyst at IQVIA

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

Entry Level & New Grad, Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Life Sciences, HealthcareIndustries

Requirements

1 - 4 years of experience
Education: BE (with Computer background)/ BTech (IT)/ MCA
Experience on Master Data Management testing
Knowledge of Database/ SQL
Working experience in ETL
Life Science Domain expertise (plus)
Knowledge and experience in any Test Management Tool
Knowledge and experience of Automation tool
Knowledge and experience in any Defect Tracking tool
MDM background
Critical thinking and analytical skills
Good communication skills
Time management & organization skills
Ability to plan and coordinate tasks effectively
Effective at working independently and as part of a team
Good attitude and passionate about the work

Responsibilities

Run manual and automated tests
Carry out stress testing, performance testing, functional testing and scalability testing
Write and execute test scripts
Write bug reports
Meet with system users to understand the scope of projects
Work with software developers and project support teams
Identify business requirements

Skills

Key technologies and capabilities for this role

MDM testingSQLETLTest Management ToolAutomation toolDefect Tracking tool

Questions & Answers

Common questions about this position

What experience level is required for the MDM QA Analyst role?

The role requires 1-4 years of experience.

What are the key technical skills needed for this position?

Key technical skills include experience in Master Data Management testing, knowledge of Database/SQL, working experience in ETL, knowledge of Test Management Tools, Automation tools, and Defect Tracking tools. Life Science Domain expertise is a plus.

What education is required for the MDM QA Analyst position?

Candidates need BE (with Computer background)/ BTech (IT)/ MCA.

Where is the MDM QA Analyst position located?

The position is based in IQVIA Bangalore.

What non-technical skills are important for this role?

Important non-technical skills include MDM background, critical thinking and analytical skills, good communication skills, time management & organization skills, ability to plan and coordinate tasks effectively, effective at working independently and as part of a team, and a good attitude passionate about the work.

IQVIA

Advanced analytics and clinical research services

About IQVIA

IQVIA provides advanced analytics, technology solutions, and clinical research services specifically for the life sciences industry. Their services utilize extensive data resources and technology to create connections within healthcare, allowing clients to gain insights that help speed up the development and marketing of new medical treatments. This process is facilitated by their IQVIA Connected Intelligence™ system, which offers quick and flexible insights. IQVIA stands out from competitors by focusing on patient privacy, employing various technologies to protect individual data. The company's goal is to enhance healthcare outcomes by supporting biotech, pharmaceutical, and medical device companies, as well as researchers and government agencies, in understanding diseases and advancing medical science.

Durham, North CarolinaHeadquarters

1998Year Founded

$3,526MTotal Funding

POST_IPO_EQUITYCompany Stage

Cybersecurity, Biotechnology, HealthcareIndustries

10,001+Employees

Risks

Rapid advancement of cancer vaccines may disrupt traditional clinical research models.

Proliferation of disparate technological solutions causes technology overload in clinical trials.

Generative AI technologies face challenges in adoption due to data privacy concerns.

Differentiation

IQVIA leverages advanced analytics and big data for life sciences solutions.

The company offers privacy-enhancing technologies to protect individual patient data.

IQVIA's AI Assistant provides rapid, actionable insights for healthcare and life sciences.

Upsides

Increased adoption of decentralized clinical trials enhances patient-centric study designs.

AI-driven drug discovery accelerates identification of potential drug candidates.

Expansion of telemedicine facilitates remote patient monitoring and data collection.

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