67 Data Validation jobs in the Philippines

Job Summary

We are seeking a Registered Nurse (RN) based in the Philippines to join our healthcare IT team. This role focuses on clinical data validation during an electronic health record (EHR) migration. You will review, compare, and validate patient data (e.g., medications, allergies, diagnoses, lab results, and clinical notes) from the source system (e.g., eClinicalWorks) to the new platform (e.g., athenahealth). The ideal candidate is detail-oriented, possesses strong clinical judgment, and is comfortable working with both clinical and technical aspects of healthcare data.

Must have the ability to work Philippine night shifts

Key Responsibilities

1. Data Validation & Review

o Manually review patient records (medications, allergies, diagnoses, procedures, labs, immunizations, progress notes) post-migration to ensure accuracy and completeness.

o Compare data fields in the new EHR (e.g., athenahealth) against the legacy source (e.g., eClinicalWorks), identifying any discrepancies.

1. Quality Assurance

o Conduct spot checks on high-complexity patient charts, focusing on critical data elements that may affect patient safety.

o Work with team leads or a nurse manager to resolve "fallouts" (exceptions or error logs from the automated migration process).

1. Clinical Judgment & Escalation

o Identify clinically significant discrepancies (e.g., missing allergies, incorrect medication dosages) and escalate these issues to the appropriate stakeholders.

o Provide input on clinical workflows and possible improvements in data mapping.

1. Documentation & Reporting

o Maintain accurate validation logs, noting all changes or corrections made during the review process.

o Generate reports summarizing validation progress, error rates, and any systemic issues discovered.

1. Collaboration & Communication

o Collaborate with data migration specialists, IT teams, and physicians to clarify data mapping rules and resolve complex cases.

o Participate in team huddles or meetings to share best practices and discuss recurring data issues.

1. Adherence to Compliance & Confidentiality

o Uphold HIPAA, GDPR, or other relevant privacy/security regulations when handling patient data.

o Maintain strict confidentiality of all patient information throughout the migration and validation process.

Qualifications

1. Education & Licensure

o Must be a Registered Nurse (RN) with a valid license to practice in the Philippines.

o Bachelor's degree in Nursing (BSN) or equivalent is preferred.

1. Experience

o 1–2+ years of clinical nursing experience (hospital, clinic, or other healthcare setting).

o Previous healthcare BPO or clinical data experience is highly beneficial.

o Familiarity with EHR/EMR systems (e.g., eClinicalWorks, athenahealth, Epic, Cerner) is a plus.

1. Technical Skills

o Comfortable using Microsoft Office (Excel, Word) or Google Workspace to track validation tasks.

o Knowledge of medical coding (ICD-10, CPT, SNOMED) and medical terminology.

o Ability to learn new software quickly and apply clinical expertise in a technical environment.

1. Soft Skills

o Attention to Detail: Meticulous approach to verifying data accuracy.

o Communication: Strong written and verbal skills in English; able to effectively collaborate with remote teams.

o Problem-Solving: Capable of investigating discrepancies and proposing solutions.

o Time Management: Able to handle multiple validation tasks and meet project deadlines.

1. Work Environment & Schedule

o Ability to work Philippine night shifts

o Stable internet connection and home-office setup for remote work (if applicable).

Job Description

The Model Validator's primary responsibility is to assess, validate, and ensure the accuracy and compliance of mathematical and statistical models used across the organization. It plays a key role in maintaining the bank's risk management and decision-making processes by reviewing and assessing the reliability of these models.

Key Responsibilities:

• To align with the team's work plan and ensure that the validation of models is performed according to the rules set forth by the bank and the BSP.
• To conduct validation of bank models (ensuring that models are managed effectively so that they remain accurate).
• Prepare detailed validation reports summarizing findings, documenting validation procedures, and providing recommendations for model improvements.
• To ensure satisfactory and timely validation of models assigned to him/her.
• To align with team timelines and to ensure timely and satisfactory output.

Qualifications:

• Bachelor's degree in a quantitative field (mathematics, statistics, finance, economics, computer science, etc.) with 3+ years of relevant work experience.
• Master's degree in any relevant field is preferred.
• Strong analytical, statistical, and technical skills.
• Proficiency in programming languages (e.g., Python, R, SQL).
• Knowledge of machine learning, statistics, and modeling techniques.
• Familiarity with regulatory requirements and industry standards is preferred.
• Effective communication and collaboration skills.

Position Overview

The
Data Analysis Manager

plays a critical role in managing, analyzing, and interpreting organizational data to drive business decisions. This role is responsible for maintaining structured operational and HR data, ensuring CRM data integrity, and building reports and dashboards that provide actionable insights for leadership, DRM operations, Executive Coaching and sales. The position also supports workforce forecasting, executive coaching documentation, and utilization tracking, contributing to both strategic planning and day-to-day decision-making. Reporting to:
VP, Sales and Admin

Key Responsibilities

Data Management & Integrity

• Maintain and manage structured operational and HR datasets.
• Ensure accuracy, consistency, and integrity of CRM and other business data.

Reporting & Analytics

• Develop, maintain, and optimize dashboards, reports, and analytics for leadership and departmental use.
• Generate insights that support strategic planning, workforce management, and decision-making.
• Provide analytics support for both DRM operations and sales performance.

Forecasting & Planning

• Forecast staffing needs and leadership support ratios based on business trends and operational requirements.
• Analyze utilization and capacity to support resource planning and efficiency.

Executive & Coaching Support

• Support documentation, reporting, and data needs for Executive Coaching engagements.
• Find insights within all Executive Coaching engagements to add value for executive coaching clients

Qualifications

• Bachelor's degree in Data Analytics, Statistics, Business, Economics, or a related field.
• 3+ years of experience in data analysis, business intelligence, or related roles.
• Strong proficiency in data visualization and analytics tools (e.g., Power BI, Tableau, Looker, Excel).
• Experience managing CRM systems and ensuring data quality (Pipedrive, Hubspot or similar).
• Excellent analytical and problem-solving skills with strong business acumen.
• Strong communication skills, with the ability to translate data insights into actionable recommendations for non-technical stakeholders.
• Experience in workforce planning, HR analytics, or sales operations support preferred.

Key Competencies

• Detail-oriented with strong organizational skills.
• Ability to balance multiple projects and deliver insights under tight deadlines.
• Collaborative mindset with experience working across operations, HR, and sales teams.
• Strategic thinker with an eye for efficiency and optimization.

Join our World of Talent.

Global, culturally diverse, inclusive, and innovative - welcome to AMS, where talent is our world. Over the last two decades, AMS has redefined the landscape of talent outsourcing and consulting. From pioneering the concept of RPO to continually revolutionizing how organizations approach talent acquisition, AMS stands as a world leader in the industry.

Committed, engaged, and inspired, we feel a real sense of belonging, and all have one thing in common: a real passion for talent. Become part of this world and make a difference with us.

The Role

At AMS, talent is our world. Our Insights & Intelligence (I&I) team are experts in data-powered talent services and solutions. Our purpose is simple, to understand our clients' needs and use this understanding, combined knowledge, and expertise to find, process, and analyse complex datasets to inform talent acquisition teams. We value user experience and ensure we're supporting people in making hiring decisions with intelligence they can trust.

The Specialist, Data Analysis will be responsible for delivering comprehensive data insights to help client account teams make informed decisions.

This role is responsible for supporting or independently delivering less complex analysis of internal and external data sets with the goals of enhancing operational performance and predicting trends.

The Specialist, Data Analysis will also deliver ad-hoc reports and projects.

By providing essential analytical and operational support, this role enables delivery of comprehensive insights that help internal teams make informed decisions

Things you will do:

SERVICE INNOVATION / EVOLUTION

• Contributes to and/or delivers aspects of continuous improvement and innovation
• projects.
• Provides suggestions about opportunities for data analysis.

OPERATIONS

• Internal and external data analysis - performs descriptive, diagnostic and predictive data analysis to understand past performance, current trends, and future possibilities using internal client operational data, AMS aggregate data, and external market data.
• Trend interpretation and analysis - interprets trends and compiles and forecasts using client operational data to make predictions about activity levels or volumes and hiring conditions.

CLIENT / STAKEHOLDERS

• Agrees requirements with stakeholders and provides regular status updates.
• Communicates clearly and in a timely way with stakeholders.

You'll need to demonstrate:

• Experience in performing simple to moderately complex data analysis, including
• descriptive, diagnostic and predictive analytics
• Proven track record of delivering data insights that have directly improved operational performance or contributed to informed decision-making in a business or consulting environment.
• Intermediate experience with data visualization tools (e.g., Power BI, Tableau) and
• proficiency in Excel (ability to troubleshoot DAX formulas; can create and transform
• datasets using the Power Query).
• Strong business acumen and ability to present data-driven narratives that align with
• business objectives.
• Collaborative mindset with excellent communication and ability to translate research findings into impactful insights for diverse audiences.

Why AMS?

At AMS, we recognize the value of different perspectives and experiences in prompting innovation, sparking creativity, and solving problems.

We come from every walk of life, and our culture is open and inclusive. Our people enjoy flexibility, autonomy, and being trusted to work their way. We offer you career opportunities in every direction you want to explore. It's our world but you can do it your way.

We offer:

• Full training and support
• High value and challenging work
• A vibrant, diverse, and collaborative culture
• Flexible working
• A competitive reward and benefits package*
• The opportunity to embark on a recruitment career with one of the world's leading recruitment companies

*Details may vary slightly depending on your location, local labour law, etc.

Our culture of inclusion and belonging.

We welcome applications from people of all backgrounds, and all aspects of employment are based on merit, qualifications, and business needs. We do not discriminate based upon age, disability, gender identity, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or any other applicable legally protected characteristic.

If you require any accommodations or have any accessibility needs, please reach out via email or make a member of our Talent Acquisition team aware at any time.

Hit the
Apply now
button to get your journey started

About The Team
Shopee Video is a short-form video feature for users to watch videos and create videos for entertainment consumption and driving sales. The Shopee Video Project team is a cross-department and cross-functional project team, with core members coming from the Marketing and BD departments.

The Shopee Video Marketing Team Is Responsible For

• Planning and executing all user-facing Video initiatives, including but not limited to communications, marketing BAU and campaign programs.
• Performance tracking, data analysis, incentive design, and budgeting
• Collaborate with the Regional and Local Products teams to ensure key features are in place to drive the Video project objectives.

Job Description

• Support the Video team with daily data requests, including but not limited to: extract raw data from internal databases, check and clean data to ensure accuracy and completeness, generate meaningful and actionable insights from data, and present data in executive-ready tables and slides.
• Contribute to brainstorming sessions to formulate hypotheses to help build strong data narratives and compelling reports
• Contribute proactively to optimize current processes, tools and reports to drive efficiency and scale

Requirements

• Bachelor's degree in Business Administration, Economics, Finance, Computer Science, Information Technology, or related quantitative field
• With a minimum of one (1) year of relevant work experience in data analysis
• With advanced Microsoft Excel and SQL skills (Python is a plus)
• Detail-oriented and has proven project management skills.
• Self-starter and a team player who enjoys a fast-paced environment.
• Excellent verbal and written communication skills in English.
• Ability to work under pressure.

Position:
Director - Data Analysis

Location:
Alabang, Muntinlupa City

Schedule:
Night Shift

Work Set-up:
Hybrid

Employment Type:
Full Time and Direct Hire

About the Role:

As the Director for Data Analysis, you are responsible for validating enterprise-wide analytical tools to ensure quality, manage risks, and support effective business decision-making.
Python programming skills to support testing, automation, and prototyping of analytical solutions.

• Develop and refine a framework for validating analytical tools across the organization.
• Plan, manage, and execute validation projects independently.
• Assess the methodologies, risks, and applications of analytical tools used across business processes.
• Provide clear communication of findings through validation reports, presentations, and stakeholder discussions.
• Collaborate with colleagues and leverage training to design innovative business solutions using coding and analytics.
• Mentor and coach junior staff for analytical problem-solving.

Job Qualification

• Bachelor's degree in Finance, Economics, Statistics, Computer Science, Mathematics, Engineering, or a related field (Master's degree preferred).
• Strong Python programming skills for automation, testing, and prototyping
• Solid understanding of analytical tools, quantitative models, and risk assessment frameworks.
• Excellent communication skills with experience preparing reports, presentations, and technical documentation for both technical and non-technical audiences.
• Strong problem-solving and critical thinking abilities, with a track record of driving process improvements and implementing best practices.

Alabang , Philippines, Muntinlupa City, National Capital Region (Manila)

Pr. Analyst, Data Analysis

*Summary: *

• As a Pr. Data Analyst, this role will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. This role offers a unique opportunity to apply data-driven solutions in a fast-paced, risk-focused environment. The role will develop dynamic reporting, advanced analytics, and automation to provide real-time risk management and drive efficiency. This role will have the opportunity to lead multiple projects, drive strategic initiatives, and leverage cutting-edge technologies and innovative data practices to strengthen risk management strategies:

*General Responsibilities *
:***

• Innovation

• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers

• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

• Business Intelligence

• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

• Drive analysis that provides meaningful insights on business strategies

• Data Management

• Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
• Build and execute tools to monitor and report on data quality

*Basic Qualifications: *

• Educational Background: Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)

• Professional Experience:

• At least 5 years of experience performing data analytics

• At least 3 years of experience working with at least one scripting language
• At least 3 years of experience utilizing a business intelligence visualization tool

• At least 3 years of experience in querying, analyzing and working with data languages and platforms

• Skills Required:

• Scripting experience in (Python, R, Spark, and SQL)

• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
• Experience utilizing and developing within AWS services
• Willing to work in a night shift schedule
• Willing to work in a hybrid schedule
• Willing to work in Alabang

*Preferred Qualifications: *

• Master's Degree in a Science, Technology, Engineering, Mathematics discipline
• At least 4 years of experience coding in Python, R, Spark, or SQL
• At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
• At least 2 years of experience leading multiple projects
• At least 2 years of experience utilizing and developing within AWS services
• At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Be the expert in using data to measure and analyze business performance in each our markets and lines of business

• Monitor key metrics and alert the business on potential issues

• Design market/business intelligence reports and performance measurement dashboards to share with senior management

• Develop and automate reports, interactively build and prototype dashboards to provide insights at scale, solving for analytical needs

• Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverable and presentations

• Perform ad-hoc analysis to drill down into certain business challenges, providing conclusions and advice based on data analysis

• Support projects on data projection, data analysis, performance tracking, and to summarize data analysis requirements

• Support to colleagues for understanding data insights and handling basic data analysis skills

Requirements:

• Experience in analytics, project management, strategy and/or tech consulting, or other related fields. Experience in E-commerce is a plus.

• Sharp critical thinking, strong analytical and numerical skills. Good communication skills

• Eager to work in a fast-paced and ambiguous environment

-
Solid knowledge of SQL
and other programming language. Hands-on experience in data extraction, cleaning, preparation, and dashboard development

• Highly energetic and self-motivated. Willingness to learn attitude with ability to work under pressure

• Bachelor's or Master's degree in relevant field of study.