Analyst, Data Acquisition

📌 Core Information

🔹 Job Title: Analyst, Data Acquisition

🔹 Company: TransUnion

🔹 Location: Makati City, Makati, Philippines

🔹 Job Type: On-site

🔹 Category: 📊 Marketing Analyst

🔹 Date Posted: April 2, 2025

🔹 Experience Level: 0-2 years

🔹 Remote Status: Hybrid

📌 Essential Job Details

🚀 Job Overview

Key aspects of this role include:

• Conducting quality analysis on data contributions and member inquiries.
• Facilitating coordination with members to ensure data accuracy.
• Collaborating on dispute resolution and managing member issues.
• Supporting the organization in achieving revenue targets.

ASSUMPTION: The job overview assumes that the analyst will primarily focus on data quality and member support, based on typical functions of data acquisition roles in similar industries.

📋 Key Responsibilities

✅ Perform quality analysis on member inquiries and data contributions.

✅ Coordinate with members for data correction and accuracy.

✅ Assist in managing disputes and resolving member issues promptly.

✅ Support TUPH’s goals and contribute to annual revenue targets.

ASSUMPTION: Responsibilities are assumed to include strong interaction with members and a focus on data integrity, critical for maintaining TransUnion's data standards.

🎯 Required Qualifications

Education: Bachelor’s degree in financial or IT-related fields.

Experience: 1-2 years of experience in technical support, investigation, and analysis roles.

Required Skills:

• Expert level in Microsoft Excel
• Excellent written and verbal communication skills
• Strong interpersonal abilities to navigate business and technical environments
• Ability to meet time-sensitive objectives

Preferred Skills:

• Background in report generation and technical communications

ASSUMPTION: Preferred qualifications likely include strong analytical skills and experience with technical communications to align with industry needs.

💰 Compensation & Benefits

Salary Range: Not specified; typically competitive within the IT consulting industry.

Benefits:

• Health and wellness benefits
• Opportunities for skill development and continuous learning
• Company-sponsored events and community involvement

Working Hours: 40 hours per week, hybrid model with in-person attendance required at least two days per week.

ASSUMPTION: Compensation details are not specified, assuming standard benefits and competitive salary for similar roles in the industry.

📌 Applicant Insights

🔍 Company Context

Industry: IT Services and IT Consulting

Company Size: 10,001+ employees, indicative of a large global corporation with extensive resources.

Founded: Not specified, but has a long-standing reputation in information services.

Company Description:

• Provides actionable insights for the modern economy using vast data resources.
• Promotes economic opportunities through data accuracy and integrity.
• Confirmed presence in over 30 countries, emphasizing global outreach.

Company Specialties:

• Credit and information management
• Risk management and fraud prevention
• Financial inclusion and data fusion technology

Company Website: http://www.transunion.com

ASSUMPTION: The company's focus on global presence and data services shapes the role's emphasis on data accuracy and member relations.

📊 Role Analysis

Career Level: Entry-level, providing a foundation in data acquisition and analysis.

Reporting Structure: Likely reports to a senior analyst or manager within the data acquisition team.

Work Arrangement: Hybrid, balancing between virtual duties and on-site responsibilities.

Growth Opportunities:

• Exposure to cutting-edge data technologies
• Development of technical and interpersonal skills
• Potential career advancement within the global company structure

ASSUMPTION: Based on typical role progression, growth opportunities may include advanced analytical roles and leadership positions in data management.

🌍 Location & Work Environment

Office Type: Modern corporate office environment in a central business district.

Office Location(s): Makati City, a key commercial hub in the Philippines.

Geographic Context:

• Located in a bustling urban area known for business activities
• Proximity to vital commercial and retail centers
• Accessibility to transportation and amenities

Work Schedule: Regular business hours with some flexibility for hybrid work conditions.

ASSUMPTION: The location description assumes access to essential business services and a vibrant work environment.

💼 Interview & Application Insights

Typical Process:

• Initial application review
• Telephone screening by HR
• In-person or virtual interview with hiring manager

Key Assessment Areas:

• Technical proficiency in data tools like Excel
• Communication and interpersonal skills
• Problem-solving and analytical capabilities

Application Tips:

• Highlight experience in technical support and data analysis
• Demonstrate knowledge of IT solutions in financial services
• Prepare examples of managing time-sensitive projects

ATS Keywords: Data analysis, technical support, Excel proficiency, communication skills

ASSUMPTION: Application insights are based on standard hiring processes for analytical roles in the technology sector.

🛠️ Tools & Technologies

• Microsoft Excel
• Reporting and data visualization tools
• Tools for technical support and issue tracking

ASSUMPTION: Tools listed are based on typical requirements for a data acquisition role, focusing on data management and analysis.

👔 Cultural Fit Considerations

Company Values:

• Commitment to integrity and data accuracy
• Focus on innovation and technological advancement
• Partnership and collaboration-driven success

Work Style:

• Collaborative and cross-functional teamwork
• Proactive problem solving with a customer-focused approach
• Adaptability to changing technological landscapes

Self-Assessment Questions:

• How do you handle unexpected data errors?
• What strategies do you use to build professional relationships?
• Describe your experience with technical reporting and analysis.

ASSUMPTION: Cultural attributes are deduced from TransUnion's global activities and industry standing, emphasizing innovation and data reliability.

⚠️ Potential Challenges

• Managing diverse data needs from global teams
• Ensuring data protection and compliance with local laws
• Adapting to fast-paced technological advancements
• Balancing hybrid work demands with team collaboration

ASSUMPTION: Challenges are inferred based on the data-driven nature of the role and the company's global focus.

📈 Similar Roles Comparison

• Compared to marketing analysts with more customer-facing roles
• More technical and data-focused than a traditional analyst role
• Involves greater emphasis on data correction and member interaction

ASSUMPTION: Similar roles comparison considers typical industry roles within data acquisition and marketing analysis fields.

📝 Sample Projects

• Developing a new reporting system for member data accuracy
• Collaborating on a team to resolve large-scale data discrepancies
• Implementing a new data validation process

ASSUMPTION: Sample projects are based on common tasks within data acquisition and correction processes in large organizations.

❓ Key Questions to Ask During Interview

• What tools and systems does the team currently use for data management?
• How does this role contribute to achieving company-wide goals?
• What are the team's biggest challenges currently?
• How is success measured in this position?
• What training and development opportunities are available?

ASSUMPTION: Interview questions focus on role-specific and career growth elements typical for similar positions.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through TransUnion Careers Page
• Prepare your resume and cover letter highlighting relevant skills
• Research TransUnion's company values and recent initiatives
• Be ready to articulate your experience with data tools during the interview
• Follow-up with a thank-you note post-interview

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.