Data Analyst (Open for Fresh Grads)

Ascendion; Taguig; Hybride; PHP 350 000 - 550 000; Plein temps

Résumé du poste

Ascendion seeks a Data Analyst to support salary survey data formatting, importing, mapping, and validation. You will maintain client databases, assist with system testing, and provide technical support while contributing to ongoing process improvements.

You will work with cross-functional teams across geographic regions, participate in training, and help ensure data quality and on-time project delivery.

Qualifications

• Experience with data formatting, importing, mapping, validation, or quality review.
• Excellent data manipulation skills using Microsoft Excel.
• Strong attention to detail and commitment to accuracy.
• Ability to complete projects on schedule and manage priorities.
• Strong analytical, problem-solving, and discrepancy-investigation skills.
• Clear communication and ability to provide technical support to users and clients.

Responsabilités

• Format and upload salary survey data to client-specific databases.
• Load, review, edit, and validate client data with high accuracy.
• Map data files and calculate required data fields.
• Prepare data discrepancy reports and support data quality reviews.
• Assist with reviewing data loaded by other team members.
• Participate in system testing processes.
• Maintain contact with client technical staff and collaborate with clients and colleagues at all levels.
• Assist users with the system and provide ongoing technical support.
• Identify and implement product and process improvements.
• Work with the survey management service coordinator, Team Leader, and other team members to manage project scope and deliver projects on schedule.
• Build effective relationships and collaborate across cross-functional, virtual teams in different geographic areas.

Connaissances

Data formatting

Data importing

Data mapping

Data validation

Quality review

Excel

Attention to detail

Time management

Analytical skills

Problem solving

Discrepancy investigation

Communication skills

Technical support

Collaboration

Willingness to learn

Description du poste

About the role

Join the team as a Data Analyst supporting the accurate formatting, importing, mapping, and review of salary survey data. You will help maintain client-specific databases, support system testing, provide technical assistance to internal and external clients, and contribute to ongoing process improvements. Training on specific processes will be provided.

Key responsibilities

• Format and upload salary survey data to client-specific databases.
• Load, review, edit, and validate client data with a high level of accuracy.
• Map data files and calculate required data fields.
• Prepare data discrepancy reports and support data quality reviews.
• Assist with reviewing data loaded by other team members.
• Participate in system testing processes.
• Maintain contact with client technical staff and collaborate with clients and colleagues at all levels.
• Assist users with the system and provide ongoing technical support.
• Identify and implement product and process improvements.
• Work with the survey management service coordinator, Team Leader, and other team members to manage project scope and deliver projects on schedule.
• Build effective relationships and collaborate across cross-functional, virtual teams in different geographic areas.

What we're looking for

• Experience working with data formatting, importing, mapping, validation, or quality review.
• Excellent data manipulation skills using Microsoft Excel.
• Strong attention to detail and a commitment to accurate work.
• Ability to complete projects on schedule and manage competing priorities.
• Strong analytical, problem-solving, and discrepancy investigation skills.
• Clear communication skills and the ability to provide technical support to users and clients.
• Ability to collaborate effectively with internal teams, clients, and technical stakeholders.
• Willingness to learn specific processes, participate in training, and contribute to system and process improvements.