223 Economic Analysis jobs in the Philippines

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
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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).

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

Sr. Manager, Data Analysis

*Summary: *

• As a Sr Manager, Data Analyst, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we've created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.

*General Responsibilities *
:***

• Refining a new Enterprise-wide analytical tools validation framework
• Planning and executing validation projects
• Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes
• Understanding technical issues in analytical tools and assessing tools risks and opportunities
• Independently researching, identifying, and prototyping industry best practices for emerging analytical tools
• Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations
• Leveraging education, colleagues and training opportunities to develop solutions to business problems
• Coaching and mentoring junior staff

*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 7 years of experience in data analytics

• At least 5 years of experience leading and developing with open source data technologies

• At least 2 years of experience managing people

• Amenable to work in a hybrid set up; pre dominantly work from home

• Amenable to work in a night shift and or late mid shift schedule

• Skills Required:

• Possessing strong problem solving and conceptual thinking abilities

• Excellent communication skills , interpersonal and leadership skills

*Preferred Qualifications: *

• Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field
• At least 7 years of experience in statistical or econometrics hands-on work
• At least 5 years of experience manipulating and performing analysis with large data sets
• At least 5 years of experience in financial services industry
• At least 5 years of experience in developing statistical or econometric models
• At least 5 years of experience in validating statistical or econometric models
• At least 2 years of experience with data governance
• At least 2 years of experience with predictive analytics

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).

Job Title: Data Analysis and Statistical Modeling Associate

Division:
Advisory, Data Analytics

Summary of the Role:

The Data Analysis and Statistical Modeling (DASM) Associate is responsible for observing trends and patterns in data and in developing and implementing statistical models for data analytics projects and use cases in a professional services firm. As a key member of the Data Analytics Practice, The DASM Associate will be expected to collaborate in optimizing the use of data analytics technologies and methodologies for engagements in the following areas:

1. Internal Audit and Risk Consulting

2. Compliance and Regulatory Consulting

3. Process Quality Management

4. Transactions Advisory

5. Digital Trust Services

6. Digital Transformation

7. Audit

8. Taxation

The DASM Associate will be working alongside the other members of the Data Analytics Practice comprised of data analysts, business analysts, data visualization specialists, and data engineers in gathering, processing, and analyzing data to build statistical models that can be used to predict future outcomes, identify trends, and make business recommendations.

Primary Responsibilities:

• Develop organized methods for the experimentation and analysis of datasets to identify patterns and trends in the data, draw correlations from different patterns in the data, extrapolate likely outcomes, or estimate the effect of various possible decisions on a given metric or outcome.

• Develop and implement statistical models for data analytics projects.

• Work with business analysts and project teams to understand business problems and develop solutions involving statistical modeling and data science.

• Communicate results of analysis to project team leaders and stakeholders clearly and concisely.

• Stay up to date on the latest trends in data science and machine learning.

Qualifications:

• Bachelor's degree in Statistics or a related field.

• Strong understanding of statistical concepts and principles essential for understanding the relationships between different variables in a data set and identifying the factors that drive outcome changes. This will include fundamental concepts such as probabilities, sampling, hypothesis testing, tendency and distribution of data.

• Knowledge of statistical techniques to build models (e.g., time series analysis, linear regression, logistic regression, decision trees, random forests, etc.).

• Excellent communication and presentation skills.

• Possessing the following additional competencies is an advantage:

o Background in Risk Modeling and Validation.

o Background in data mining and machine learning techniques.

o Strong programming skills in Python, R, or other statistical programming language.

o Background in the following technology stack:

Power BI Power Automate Power Query Alteryx Tableau

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.

Job Title:
TDI - Business Functional Analyst

Location:
Manila

Corporate Title:
Assistant Vice President

Business Functional Analysis is responsible for business solution design as a whole in complex project environments (e.g. transformational programmes).

What we will offer you

A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That's why we are committed to providing an environment with your development and wellbeing at its center.

You can expect

• Competitive Salary
• Attractive Retirement Benefit
• Medical and Life Insurance upon employment
• 20 days Annual Vacation Leaves

Your key responsibilities

• Perform high-volume, content-driven data analytics to support regulatory reporting requirements
• Contribute to the conceptual design and customization of data warehouse components
• Develop and maintain business data models to support evolving reporting needs
• Conduct business impact analysis and reverse engineering analysis of existing systems and data flows
• Identify and analyze data trends to drive insights and improvements
• Define, document, and manage business and technical requirements in collaboration with stakeholders
• Proactively manage the investigation and resolution of data issues impacting regulatory reporting metrics
• Analyze root causes and liaise with business teams to drive strategic, long-term fixes

Your skills and experience

• Analytical skills with hands-on experience in high-volume data analysis (Essential)
• Experience of IT analytics tools and technologies such as SQL, Python, and related data processing frameworks (Essential)
• Experience with Axiom regulatory reporting platforms
• Understanding of Risk Control, Accounting, Treasury, and/or Finance functions
• Appreciation of Investment Banking products and core regulatory metrics such as RWA, Leverage Ratio, and Capital Adequacy
• Familiarity with front-to-back system architecture and data flow across banking operations
• Amenable to midshift - 2pm to 11pm
• Amenable to hybrid work model

About the role

As a Market Research Analyst at Manila Bankers Assurance, you will play a pivotal role in gathering and analysing market data to support the company's strategic decision-making. Reporting to the Marketing Manager, this full-time position is based in our Makati City, Metro Manila office. You will be responsible for conducting comprehensive market research to identify trends, insights and opportunities that will drive the continued growth and success of our insurance solutions.

What you'll be doing

1. Collecting, organising and analysing data from a range of sources to gain a deep understanding of our target markets, customers and competitors
2. Conducting surveys, focus groups and interviews to gather qualitative insights into customer preferences and behaviours
3. Identifying market trends and emerging opportunities that can inform the development of new products and services
4. Preparing detailed reports and presentations that communicate research findings and recommendations to key stakeholders
5. Collaborating cross-functionally with the marketing, product and sales teams to ensure research outputs drive real business impact
6. Staying up-to-date with industry developments and best practices in market research and analysis

What we're looking for

1. Bachelor's degree in a relevant field such as statistics, economics, marketing or business
2. 2-3 years of experience in a market research or data analysis role, ideally within the insurance or financial services industry
3. Strong analytical and problem-solving skills, with the ability to interpret complex data and draw meaningful insights
4. Excellent communication and presentation skills, with the ability to translate technical information into actionable business recommendations
5. Proficiency in using market research tools and software, such as survey platforms, data visualization tools and statistical analysis software
6. Keen interest in staying up-to-date with the latest market trends and industry developments

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