Business & Data Quality Analyst at IQVIA

São Paulo, State of São Paulo, Brazil

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, TechnologyIndustries

Requirements

Bachelor's Degree in Computer Science, Data Science, or Business Administration, or equivalent experience
Minimum of 3-5 years of experience in business analysis, data engineering, or business relationship management, preferably in the healthcare or life sciences industry
Knowledge of business-wide applications (e.g., third-party software and internal operational applications) or IQVIA client-facing applications and products
Demonstrated ability to understand client requirements as well as underlying infrastructure applications, systems, and processes
Proficiency in data analysis tools (e.g., SQL, Excel, Tableau) and familiarity with database management systems
Experience with data pipeline development and ETL processes
Strong understanding of business process modeling, requirements gathering, and project management methodologies
Excellent analytical, problem-solving, and critical-thinking skills
Exceptional communication and interpersonal skills, with the ability to work collaboratively and manage relationships with stakeholders
Demonstrated ability to manage multiple priorities in a fast-paced environment
Thorough knowledge of IQVIA data and current systems (a plus)
Familiarity with Snowflake (a plus)

Responsibilities

Formulate and define systems scope and objectives based on user needs and understanding of applicable business systems and requirements
Devise or modify procedures to solve complex problems, considering equipment capacity, limitations, operating time, and desired results
Analyze business and user needs, document requirements, and translate into proper system requirement specifications
Prioritize development items to ensure alignment with business goals
Work closely with US/Canada business unit to understand their data and reporting needs
Identify and prioritize additional data fields and elements required for more granular reporting and analytics
Analyze current data availability and identify gaps in data needed to meet business reporting and analytic requirements
Define and document necessary transformations required to combine business unit data with enterprise-level data in the Enterprise Data Platform (EDP)
Assist in building and maintaining data pipelines to ingest data from various sources into the EDP
Assist in the development of scalable processes to ensure efficient data flow and integration for the US/Canada business
Serve as the primary point of contact for the US/Canada business unit for all data and IT-related matters
Foster a strong relationship between the business and Enterprise System, acting as a strategic partner to align technology solutions with business needs
Facilitate regular communications between the business and EDP team to ensure ongoing collaboration and transparency
Attend daily stand-up calls with the development team to gain status updates and address team queries

Skills

Key technologies and capabilities for this role

Business AnalysisData AnalysisData EngineeringData PipelinesRequirements GatheringStakeholder ManagementData IntegrationReportingAnalyticsETLData Transformation

Questions & Answers

Common questions about this position

What qualifications and experience are required for this role?

A Bachelor's Degree in Computer Science, Data Science, or Business Administration (or equivalent experience) is required, along with 3-5 years of experience in business analysis, data engineering, or business relationship management, preferably in healthcare or life sciences.

What technical skills are needed for the Business & Data Quality Analyst position?

Proficiency in data analysis tools such as SQL, Excel, and Tableau is required, along with familiarity with database management systems.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of collaboration is involved in this role?

The role involves close collaboration with the US/Canada business unit and Enterprise Data Platform team, serving as the primary point of contact, attending daily stand-up calls, and facilitating regular communications for transparency.

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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