Data Analytics Analyst 2 at IQVIA

Taguig City, National Capital Region, Philippines

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, PharmaceuticalsIndustries

Requirements

Bachelor’s degree in Mathematics, Statistics, Economics, Life Sciences, or related field(s)
At least 2 years’ experience with data analysis
Experience using Microsoft software tools (Excel, PowerPoint, Word, and PowerBI)
Basic knowledge of SQL a plus, but not required
Analytical thinking and effective time management skills
Strong verbal and written communication skills to present findings
Ability to present results to customers and manage stakeholders expectations
Ability to manage multiple projects and deadlines
Works effectively with others in and across the organization to accomplish team goals
Knowledge and understanding of the fundamental processes of business
Knowledge of industry and an understanding of the marketplace

Responsibilities

Receives and responds to client data inquiries via remote client access
Under guidance, identifies and interprets trends and patterns in datasets
Collect, clean, and validate data from various sources to ensure accuracy and reliability
Perform exploratory data analysis to uncover patterns, trends, and insights
Completes quantitative analysis and research to gain more in-depth understanding of trends
Runs standard queries for data extraction
Utilizes various systems/tools to work through issue identification and follow the standard escalation process through resolution
Provides formal and written communications both internally and externally regarding issue status and resolution
Verifies data for accuracy and completeness
May manipulate and transform data to optimize analyses
Perform audits of own work or that of others to ensure conformance with established procedures or to resolve routine issues
May construct additional reports or tools to assist in analysis
Analyzing & responding to queries raised by clients who purchase one or more of IQVIA’s syndicated prescription and/or sales data offerings (e.g. NPA, Xponent, DDD, NSP, WSP etc.)
Completing & presenting complex data analysis/validation to internal key decision makers & external clients, leveraging experience to provide custom data solutions

Skills

Data Cleaning

Data Validation

Exploratory Data Analysis

Quantitative Analysis

SQL Queries

Data Extraction

Trend Analysis

Data Transformation

Data Auditing

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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