📍 Job Overview

• Job Title: Database Support Analyst 2
• Company: IQVIA
• Location: Taguig, Metro Manila, Philippines
• Job Type: Full-Time
• Category: Data Analyst
• Date Posted: August 1, 2025
• Experience Level: Entry to Mid-Level (0-2 years)
• Remote Status: On-site

🚀 Role Summary

• Monitor, process, and validate supplier data, focusing on stores and prescription information.
• Support the local office in prescription analysis and quality testing projects before data is loaded into production.
• Ensure data quality and compliance with internal standards and information security policies.
• Collaborate cross-functionally with various teams to achieve goals under time constraints and minimal supervision.

📝 Enhancement Note: This role requires strong analytical and problem-solving skills, with a focus on data quality and process adherence. The position offers opportunities to work with diverse data warehouses and tools, fostering continuous learning and skill development.

💻 Primary Responsibilities

• Data Monitoring & Processing: Monitor, process, and validate supplier data, focusing on stores and prescription information on a daily and weekly basis.
• Prescription Analysis & Quality Testing: Support the local office in prescription analysis and quality testing projects before loading data into production.
• Reporting & Documentation: Manage delivery of timelines and quality of output, and create documentation for daily, weekly, and monthly reports.
• Quality Assurance: Perform checks as outlined in the process document, ensuring data quality and compliance with internal standards.
• Data Management: Perform store monitoring and management, batch process management, imputation process, evaluation maintenance, and overriding stores and suppliers.
• Cross-Functional Collaboration: Perform functions as directed by the team leader and collaborate with other teams to achieve goals.

📝 Enhancement Note: This role requires a strong attention to detail and excellent analytical skills to ensure data accuracy and quality. The position also demands effective communication and interpersonal skills to work well with others cross-functionally.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Information Technology, Mathematics, Industrial Engineering, or a related field.

Experience: 0-2 years of relevant experience in data analysis, data management, or a related field.

Required Skills:

• Strong interpersonal, written, and communication skills.
• Strong customer focus, attention to detail, and excellent analytical and problem-solving skills.
• Proficient in Microsoft Office applications, with intermediate to advanced Excel skills.
• Intermediate to advanced SQL skills.
• Basic knowledge of SAS is an advantage but not required.
• Ability to work well with others cross-functionally, achieve goals on time, and work under time constraints and minimal supervision.
• Willingness to work in the night shift.

Preferred Skills:

• Knowledge of statistical or mathematical principles and data analytics.
• Experience working with data warehouses and tools such as IDW, TDW, NDW, UDA, LRx, Mainframe, etc.

📝 Enhancement Note: Candidates with a background in Statistics or Mathematics and knowledge of Data Analytics may find this role particularly suitable, as it offers opportunities to apply and develop these skills in a practical setting.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

• Demonstrate strong analytical and problem-solving skills through case studies or projects showcasing data analysis, data validation, and data management.
• Highlight experience with data warehouses and tools, emphasizing proficiency in SQL and familiarity with SAS.
• Showcase ability to work well with others cross-functionally and achieve goals under time constraints.

Technical Documentation:

• Provide examples of documentation created for daily, weekly, or monthly reports.
• Demonstrate understanding of data quality processes and standards, as well as information security policies.
• Showcase ability to perform checks as outlined in the process document and ensure data accuracy and quality.

📝 Enhancement Note: As this role focuses on data quality and process adherence, candidates should emphasize these aspects in their portfolio, highlighting their attention to detail and commitment to data accuracy.

💵 Compensation & Benefits

Salary Range: PHP 25,000 - PHP 35,000 per month (Based on experience and market research for entry to mid-level data analyst roles in the Philippines)

Benefits:

• Competitive salary and benefits package.
• Opportunities for professional development and career growth within the organization.
• Collaborative work environment with diverse teams and data sets.

Working Hours: 40 hours per week, with the possibility of working in the night shift.

📝 Enhancement Note: The salary range provided is an estimate based on market research for entry to mid-level data analyst roles in the Philippines. Actual salary may vary depending on the candidate's qualifications and experience.

🎯 Team & Company Context

🏢 Company Culture

Industry: IQVIA is a leading global provider of clinical research services, commercial insights, and healthcare intelligence to the life sciences and healthcare industries. They create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.

Company Size: IQVIA is a large, global organization with a diverse workforce and multiple locations across the world. This size offers opportunities for career growth and exposure to various teams and data sets.

Founded: 1959 (as Quintiles), IQVIA was founded to provide clinical research services to the pharmaceutical industry. In 2016, it merged with IMS Health to form IQVIA.

Team Structure:

• The data support team is part of the larger IQVIA organization, working closely with various teams, including clinical research, commercial insights, and healthcare intelligence.
• The team is structured to support the local office in prescription analysis and quality testing projects, with a focus on data monitoring, processing, and validation.

Development Methodology:

• IQVIA follows a structured approach to data management, with established processes and standards for data monitoring, processing, and validation.
• The organization emphasizes data quality, accuracy, and compliance with internal standards and information security policies.

Company Website: IQVIA

📝 Enhancement Note: IQVIA's large size and global presence offer opportunities for career growth and exposure to diverse teams and data sets. The organization's focus on data quality and compliance provides a structured environment for candidates to develop their skills and advance their careers.

📈 Career & Growth Analysis

Data Analyst Career Level: This role is suitable for entry to mid-level data analysts with 0-2 years of relevant experience. The position offers opportunities to develop analytical, problem-solving, and communication skills while working with diverse data sets and teams.

Reporting Structure: The Database Support Analyst 2 reports directly to the team leader, with opportunities for cross-functional collaboration with various teams within IQVIA.

Technical Impact: This role has a direct impact on data quality and accuracy, ensuring that supplier data is monitored, processed, and validated effectively. The position also supports the local office in prescription analysis and quality testing projects, contributing to the overall success of IQVIA's clinical research and commercial insights initiatives.

Growth Opportunities:

• Technical Skill Development: Develop strong analytical, problem-solving, and communication skills while working with diverse data sets and teams.
• Career Progression: Advance to more senior data analyst or data management roles within IQVIA, with opportunities to work on larger, more complex projects and gain exposure to different teams and data sets.
• Leadership Potential: Demonstrate strong leadership skills and the ability to manage and mentor junior team members, with the potential to take on team leadership roles in the future.

📝 Enhancement Note: This role offers opportunities for career growth and skill development within IQVIA, with the potential to advance to more senior data analyst or data management roles. Candidates should emphasize their analytical, problem-solving, and communication skills in their application and interview to demonstrate their fit for this role and their potential for growth within the organization.

🌐 Work Environment

Office Type: IQVIA's Taguig office is a modern, collaborative workspace designed to facilitate cross-functional collaboration and knowledge sharing.

Office Location(s): Taguig City, Philippines

Workspace Context:

• Collaborative Workspace: The office features open-plan workspaces, encouraging collaboration and communication among team members and across teams.
• Data-Driven Culture: IQVIA's work environment is data-driven, with a focus on data quality, accuracy, and compliance with internal standards and information security policies.
• Diverse Teams: The organization employs a diverse workforce, with opportunities to work with various teams and data sets.

Work Schedule: The work schedule is typically 40 hours per week, with the possibility of working in the night shift to support the local office in prescription analysis and quality testing projects.

📝 Enhancement Note: IQVIA's collaborative work environment and data-driven culture offer opportunities for candidates to develop their skills, collaborate with diverse teams, and contribute to the organization's success. The office's modern, open-plan design fosters cross-functional collaboration and knowledge sharing.

📄 Application & Technical Interview Process

Interview Process:

1. Resume Review: IQVIA will review your resume to assess your qualifications and experience.
2. Phone/Video Screen: A brief phone or video call to discuss your background, skills, and interest in the role.
3. Technical Assessment: A technical assessment or case study to evaluate your analytical, problem-solving, and communication skills.
4. Final Interview: A final interview with the team leader or hiring manager to discuss your fit for the role and the team's culture.

Portfolio Review Tips:

• Highlight your analytical, problem-solving, and communication skills through case studies or projects showcasing data analysis, data validation, and data management.
• Emphasize your attention to detail and commitment to data accuracy and quality.
• Demonstrate your ability to work well with others cross-functionally and achieve goals under time constraints.

Technical Challenge Preparation:

• Brush up on your SQL skills and be prepared to demonstrate your proficiency in data manipulation, querying, and aggregation.
• Familiarize yourself with data warehouses and tools relevant to the role, such as IDW, TDW, NDW, UDA, LRx, and Mainframe.
• Prepare for questions about data quality processes, standards, and information security policies.

ATS Keywords: (Organized by category)

• Data Analysis: Data monitoring, data processing, data validation, prescription analysis, quality testing, reporting, documentation.
• Technical Skills: SQL, Excel, SAS, data warehouses (IDW, TDW, NDW, UDA, LRx, Mainframe), Microsoft Office applications.
• Soft Skills: Interpersonal skills, communication skills, analytical skills, problem-solving skills, attention to detail, customer focus.
• Industry Terms: Data quality, data accuracy, data compliance, internal standards, information security policies, cross-functional collaboration.

📝 Enhancement Note: IQVIA's interview process focuses on assessing candidates' analytical, problem-solving, and communication skills, as well as their fit for the role and the team's culture. Candidates should emphasize their relevant experience and skills in their application and interview to demonstrate their qualifications for the position.

🛠 Technology Stack & Web Infrastructure

Data Analysis Tools:

• SQL (intermediate to advanced proficiency required)
• Excel (intermediate to advanced proficiency required)
• SAS (basic knowledge is an advantage but not required)
• Data warehouses: IDW, TDW, NDW, UDA, LRx, Mainframe (familiarity with at least some of these tools is preferred)

Data Management Tools:

• Microsoft Office applications (proficient in the use of)
• Data quality processes and standards (familiarity with)
• Information security policies (compliance with)

📝 Enhancement Note: This role requires proficiency in SQL and Excel, with basic knowledge of SAS an advantage but not required. Candidates should highlight their experience with data analysis tools and data management processes in their application and interview to demonstrate their fit for the position.

👥 Team Culture & Values

Data Analyst Values:

• Data-Driven: Emphasize data quality, accuracy, and compliance with internal standards and information security policies.
• Collaborative: Work well with others cross-functionally to achieve goals under time constraints and minimal supervision.
• Adaptable: Demonstrate the ability to work with diverse data sets and teams, adapting to new tools and processes as needed.
• Analytical: Showcase strong analytical and problem-solving skills to ensure data accuracy and quality.

Collaboration Style:

• Cross-Functional: Collaborate with various teams within IQVIA to support the local office in prescription analysis and quality testing projects.
• Data-Driven: Base decisions on data analysis and insights, with a focus on data quality and accuracy.
• Structured: Follow established processes and standards for data monitoring, processing, and validation.

📝 Enhancement Note: IQVIA's data-driven culture and collaborative work environment offer opportunities for candidates to develop their skills, work with diverse teams, and contribute to the organization's success. The company's focus on data quality and compliance provides a structured environment for candidates to grow and advance their careers.

⚡ Challenges & Growth Opportunities

Technical Challenges:

• Data Quality: Ensure data accuracy and quality by performing checks as outlined in the process document and following established standards and procedures.
• Data Volume: Manage large volumes of data efficiently and effectively, using appropriate tools and techniques to monitor, process, and validate supplier data.
• Data Variety: Work with diverse data sets and tools, adapting to new data sources and formats as needed.
• Time Constraints: Achieve goals on time, working under time constraints and minimal supervision to meet deadlines and ensure data quality.

Learning & Development Opportunities:

• Technical Skill Development: Develop strong analytical, problem-solving, and communication skills while working with diverse data sets and teams.
• Career Progression: Advance to more senior data analyst or data management roles within IQVIA, with opportunities to work on larger, more complex projects and gain exposure to different teams and data sets.
• Leadership Potential: Demonstrate strong leadership skills and the ability to manage and mentor junior team members, with the potential to take on team leadership roles in the future.

📝 Enhancement Note: This role offers opportunities for career growth and skill development within IQVIA, with the potential to advance to more senior data analyst or data management roles. Candidates should emphasize their analytical, problem-solving, and communication skills in their application and interview to demonstrate their fit for this role and their potential for growth within the organization.

💡 Interview Preparation

Technical Questions:

• Data Analysis: Describe your experience with data analysis, including the tools and techniques you have used to monitor, process, and validate supplier data.
• Data Quality: Explain your approach to ensuring data accuracy and quality, including the processes and standards you have followed in previous roles.
• Problem-Solving: Provide examples of how you have used your analytical and problem-solving skills to address data-related challenges in previous roles.

Company & Culture Questions:

• Data-Driven Culture: How do you ensure that your decisions are based on data analysis and insights, with a focus on data quality and accuracy?
• Collaboration: Describe your experience working with diverse teams and data sets, and how you have adapted to new tools and processes as needed.
• Adaptability: Explain how you have handled changes in data sources, formats, or tools in previous roles, and how you would approach such changes in this role.

Portfolio Presentation Strategy:

• Data Analysis: Highlight your analytical, problem-solving, and communication skills through case studies or projects showcasing data analysis, data validation, and data management.
• Data Quality: Emphasize your attention to detail and commitment to data accuracy and quality, providing examples of how you have ensured data quality and compliance with internal standards and information security policies in previous roles.
• Collaboration: Demonstrate your ability to work well with others cross-functionally, discussing your experience collaborating with diverse teams and data sets to achieve goals under time constraints.

📝 Enhancement Note: IQVIA's interview process focuses on assessing candidates' analytical, problem-solving, and communication skills, as well as their fit for the role and the team's culture. Candidates should emphasize their relevant experience and skills in their application and interview to demonstrate their qualifications for the position.

📌 Application Steps

To apply for this Database Support Analyst 2 position:

1. Tailor Your Resume: Highlight your relevant experience and skills, emphasizing your analytical, problem-solving, and communication skills, as well as your experience with data analysis tools and data management processes.
2. Prepare Your Portfolio: Showcase your analytical, problem-solving, and communication skills through case studies or projects demonstrating your ability to monitor, process, and validate supplier data, as well as your experience working with diverse data sets and teams.
3. Research the Company: Familiarize yourself with IQVIA's data-driven culture and collaborative work environment, and be prepared to discuss your fit for the role and the team's culture in your interview.
4. Practice Technical Interview Questions: Brush up on your SQL skills and be prepared to demonstrate your proficiency in data manipulation, querying, and aggregation. Familiarize yourself with data warehouses and tools relevant to the role, and prepare for questions about data quality processes, standards, and information security policies.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and data analysis industry-standard assumptions. All details should be verified directly with IQVIA before making application decisions.