8 Statistical Analysis jobs in the Philippines
Data Science Analyst
Posted 13 days ago
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Job Description
Chevron Holdings Inc. (CHI) is a subsidiary and is a pioneer multi-function Shared Services Center in the Philippines located in Makati City. With a workforce of more than 1,000 employees, CHI delivers business services and solutions in areas such as finance, human resources, procurement, sales and marketing support and information technology.
**Join our Finance Team:**
Our Finance group delivers finance and accounting services to Chevron across the globe including Upstream, Downstream, Midstream and Corporate. We are innovative leaders sought out for our insights and commitment to protect and grow value. We are one team, bringing diversity to pursue common goal. We find better ways to do business and faster ways to make decisions. We inspire though our action. These are the qualities of Chevron Finance employees, and it is who we aspire to be.
In Finance, you will have the opportunity to grow your career in different functional groups such as Accounts Payable, Midstream Accounting, Bank, Revenue and Retail, Credits and Receivables, Intercompany, Financial Accounting and Reporting, Upstream Accounting and Business Analysis and Support.
Chevron is accepting online applications for the **Data Science Analyst** position located in Makati City, Philippines.
The Digital Analyst role is tasked to work with the current data techstack of Chevron to enable delivery of required insights. The role will work with Data Products and will have good understanding of the usability of data.
**Responsibilities of this position include, but are not limited to:**
Data engineering and analysis
+ Perform text, quantitative, statistical, financial, and operational analysis; identifying trends, patterns, and anomalies that impact financial performance?
+ Design and implement data pipelines to automate the collection, cleaning, and processing of financial data from various sources?
+ Parse, cleanse, and manipulate large amounts of structured and unstructured data for analysis; perform QA testing to ensure accurate results?
+ Document data analysis processes, methodologies, and findings.
Insight generation and strategy
+ Conduct deep-dive analyses to uncover actionable insights that influence financial and operational strategy
+ Provide data-driven support for enterprise-wide Finance initiatives, ensuring alignment with business unit goals.
Collaboration and communication
+ Collaborate with the business to review data sources, data inconsistencies, and business logic for initiating data discovery?
+ Partner with cross-functional teams to understand data requirements and deliver actionable insights.
Continuous Improvement
+ Stay current with industry trends and emerging technologies to ensure our data analysis practices remain cutting-edge.
**Required qualifications:**
+ Bachelor's degree in Accountancy, Data Science, Computer Science, Statistics, or a related field (or equivalent experience).
+ 3+ years experience in data science or advanced analytics
+ Expertise in working with large-scale data environments, including data lakes and distributed systems. Understands data architecture, table relationships, and data lineage across platforms.
+ Proficient in tools and languages such as Python, R, SQL
+ Experience in cloud-based ML services (e.g., Azure ML, AWS SageMaker). Capable of building, deploying, and maintaining AI/ML models in production environments.
+ Expertise in ETL methodologies and tools and navigating through large datasets.
+ Strong analytical and problem-solving skills with attention to detail and accuracy.
+ Excellent written and verbal communication skills to effectively frame analytics opportunities and convey data-driven insights through storytelling
+ Experience in partnering with people of diverse cultural backgrounds.
**Preferred qualifications:**
+ Certified Public Accountant (CPA) or equivalent
+ Strong Finance background that can be translated to model design, ROI assessment, cost-benefit analyses, among other methodologies.
+ Experience with finance and accounting tools (SAP, JDE, Blackline, GEP SMART)
+ Industry experience in oil & gas.
+ Proficiency in data modeling techniques, data fluency, and governance.
+ Experience in Information Risk Management (IRM).
**Working with us**
There are two Chevron companies operating in the Philippines: Chevron Holdings Incorporated (CHI) and Chevron Philippines Incorporated (CPI).
CHI is a shared services center providing transactional, processing, and consulting services in the areas of finance and accounting, information technology, supply chain management, human resources, downstream customer service and marketing. Established in 1998, CHI serves Chevron affiliates in six continents around the world. Over the years, it has grown to be one of the leading members of the shared services industry in the Philippines.
CHI has received various recognitions as a top employer: the 2022 Diversity Company of the Year; 2021 Asia's Best Employer Brand Award; 2021 Global Best Employer Brand Award; 2020 HR Asia Best Companies to Work for in Asia; 2019 Circle of Excellence, Top Employer Category at Asia CEO Awards, and the 2018 Wellness Company of the Year at the same Asia CEO Awards.
CPI markets the Caltex brand of top-quality fuels, lubricants, and petroleum products through a network of service stations, terminals and sales offices.
At Chevron, we are committed to fostering diversity and inclusion at all levels of our company and at all stages of the employee experience. We constantly strive to attract, develop, and retain diverse Filipino talent. Globally, Chevron Corporation has achieved a rating of 100 percent in the Human Rights Campaign Equality Index for the past 17 years. The Index ranks American companies based on their commitment to equality in the workplace.
**Benefits:**
+ Competitive salary
+ Allowances, medical and optical reimbursements
+ Health care coverage for you and your eligible dependents
+ Robust employee-centered programs for health and wellness
+ Time-off to promote healthy work-life balance or to care for your family
+ Annual corporate incentive bonus when the company meets established goals
+ Recognition & awards program
+ Long-term savings plan
+ Life insurance
+ Career development opportunities to all employees through onboarding, training and development, mentoring, volunteering opportunities and employee networking groups
+ Hybrid work model - work remotely from home several days a week
**Connect with us:**
YouTube Chevron
YouTube Caltex
Chevron participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in San Ramon, Calif. More information about Chevron is available at .
Chevron is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.
Data Science Consultant
Posted today
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Job Description
- Able to collect, extract, and wrangle data that is used to perform analytic modelling.
- Develop custom data models and algorithm applied to different data sets based on business requirements
- Develop processes and tools to monitor, assess, and analyze algorithm, model performance, and data accuracy
- Develop testing framework and test model quality.
- Coordinate with different business units to implement models or process and tools.
- Develop governance and framework to establish analytics practice across the organization
- Able to collect, extract, and wrangle data that is used to perform analytic modelling.
- Develop custom data models and algorithm applied to different data sets based on business requirements
- Develop processes and tools to monitor, assess, and analyze algorithm, model performance, and data accuracy
- Develop testing framework and test model quality.
- Coordinate with different business units to implement models or process and tools.
- Develop governance and framework to establish analytics practice across the organization
**_REQUIRED EXPERIENCE: _**
- With at least 1 year of work experience with Python
- Location: _BGC, Taguig
- Benefits: _Hybrid work setup | 14th month pay
Schedule:
- 8 hour shift
Application Question(s):
- Please provide when is the best time to have a quick interview.
Sr. Manager, Data Science
Posted 15 days ago
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Job Description
optimization. These solutions will drive commercial performance, loyalty revenue, marketing ROI, and better customer outcomes. As a key member of the Data Science CoE in the GIAD (Global Insights, Analytics, and Data) organization, the Sr. Manager will work closely with the Loyalty & Guest Experience Analytics and Revenue & Channel Performance Analytics teams to turn data into actionable insights using advanced statistical, machine learning and data science techniques that inform strategic business decisions.
**Your day to day**
+ Collaborate with cross-functional teams to understand business needs and identify opportunities for leveraging data science to drive business solutions.
+ Address complex business problems using predictive analytics, advanced measurements, data science, and visualization techniques to drive insight and data-driven decision making.
+ Develop and publish comprehensive guidelines and best practices for model development, model deployment, experimental design, marketing measurement, or pricing optimization.
+ Communicate complex quantitative analyses in a clear, precise, and actionable manner to senior executives and non-technical stakeholders.
+ Guide and mentor junior resources in development of business knowledge and technical skills.
**What we need from you**
+ Proven experience in the field of predictive analytics, data science, experimentation and optimization, advanced marketing measurement (Marketing Mix Modeling, Multi-Touch Attribution), or pricing optimization.
+ Excellent knowledge of Machine Learning techniques and algorithms, incrementality measurement, or causal inference.
+ Excellent understanding of data architecture, data platforms, and data processing frameworks.
+ Excellent analytical, problem solving and collaborative skills.
+ Ability to communicate complex data/analyses in a simple, actionable way.
+ Strong leadership and team management skills.
+ Bachelor degree in Computer Science, Mathematics, Statistics or a closely related quantitative field with 7 or more years of progressive work experience in analytics; or Master degree in Business Analytics, Data Science, Statistics or a related field with 6 or more years of progressive work experience in analytics
Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.
At IHG Hotels & Resorts, we are proud to be an equal opportunity employer. We firmly believe that all our colleagues deserve to be treated equally and have the same opportunities to develop and grow their skills within our business and provide equal employment opportunities to all applicants and colleagues without regard to an individual's, race, color, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, disability, marital or familial status, veteran status or any other characteristic protected by law.
Research Specialist ESG Controversy Analysis
Posted 1 day ago
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Job Description
**Grade Level (for internal use):**
08
**The** **Role:** Research Specialist ESG Controversy Analysis
**The Team:**
The ESG Controversy team aims to develop, support, and maintain S&P´s monitoring of companies' sustainability performance daily by assessing controversies with potentially negative environmental or social impacts that can pose reputational, or financial consequences for companies. We are considered a leader in ESG analytics, providing essential intelligence to corporates and financial institutions.
We are searching for people who are passionate about sustainability and would like to join a project-focused, international team of like-minded people, driven to deliver excellence in managing the world's most known family of sustainability indices and one of the leading corporate sustainability benchmarking methodologies.
**Your Responsibilities** **& Impact** **:**
+ Analyze, create, and assess corresponding cases arising from criticism of the company in media/ news
+ Monitor and read news on corporate controversies daily
+ Write a well-prepared narrative providing relevant details of the controversy that will be sent to companies for their review and input
+ Create a sound assessment of the controversy and impact the company based on MSA's proprietary methodology
+ Collaborate with different stakeholders to finalize the assessment and score to be presented to a group of senior leaders for implementation
+ Support the writing of periodic reports of a company's involvement in MSA cases
Developed over 22 years, our work contributes to the creation of the iconic Dow Jones Sustainability Indices (DJSI) and the S&P 500® ESG index, among many others. Our work is also used by investors to execute their respective responsible investment strategies such as in the creation of impact and thematic funds. The work intelligence produced by our department is leveraged throughout S&P Global's ESG products across its divisions.
**What** **We're** **Looking For:**
**Basic Qualifications:**
+ Academic Qualifications - Bachelor's/Master's degree or equivalent; an advanced degree in a related field is welcome
+ 3+ years of experience in ESG research. ESG Controversy Research or expertise in the Financial Sector is an advantage.
+ Experience in conducting monitoring and assessing companies within the Financials sector.
+ Strong research skills with an emphasis on fact-based insights and analysis. This includes the ability to write well-prepared research and accurate assessments in accordance with our proprietary methodology
+ Effective reading skills to consume daily news literature, curiosity to learn and work on the latest ESG controversies affecting companies
+ Excellent attention to detail
+ Effective critical and analytical thinking
+ Collaborative attitude across different locations and willingness to contribute to initiatives aimed at enhancing our ESG product
**Preferred Qualifications:**
+ Knowledge of basic concepts related to sustainable finance, risk management, corporate governance, and control structures.
+ Technical skills to support efficient system development, artificial intelligence initiatives and proven presentation and communication skills with senior stakeholders.
**About Sustainable 1**
S&P Global's centralized source for sustainability intelligence, Sustainable1 offers comprehensive coverage of global markets combined with sustainability products, insights and solutions from across our divisions to help customers assess risks, uncover opportunities and inform long-term sustainable growth. Companies, governments and institutions worldwide look to us for in-depth data, and well-informed points of view on critical topics like energy transition, climate resilience, positive impact, and sustainable finance. The breadth and depth of our knowledge and experience go deep on the details that define the big picture so customers can act with conviction.
For more information, visit In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
S&P Global has a Securities Disclosure and Trading Policy ("the Policy") that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
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**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to:? ?and your request will be forwarded to the appropriate person?
**US Candidates Only:** The EEO is the Law Poster ? describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), RESECH203 - Entry Professional (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:** 317813
**Posted On:** 2025-07-15
**Location:** Manila, Philippines
Risk and Data Science Officer
Posted 5 days ago
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Job Description
BGC, Taguig | Hybrid (3 days on-site) | Morning Shift (9am–6pm) br>
Work Experience
-- Experience in modelling
-- Background in banking or digital banking environment is an advantage
Knowledge Areas
-- Knowledgeable in general risk modeling process
-- Skilled in developing and interpreting scorecards (Application and Behaviour Scorecards)
Competencies/Skills
-- Proficient in R, Python, SAS, or SPSS
-- Above average documentation and technical writing skills
-- Strong proficiency in MS Office, especially Excel
-- Highly analytical with strong EQ; thrives in fast-paced and dynamic environments
Risk and Data Science Manager
Posted 5 days ago
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Job Description
₱150K MAX | BGC, Taguig | Hybrid (3 days on-site) | Morning Shift (9am–6pm) br>
Work Experience
-- Experience in modelling
-- Background in banking or digital banking environment is an advantage
Knowledge Areas
-- Knowledgeable in general risk modeling process
-- Skilled in developing and interpreting scorecards (Application and Behaviour Scorecards)
Competencies/Skills
-- Proficient in R, Python, SAS, or SPSS
-- Above average documentation and technical writing skills
-- Strong proficiency in MS Office, especially Excel
-- Highly analytical with strong EQ; thrives in fast-paced and dynamic environments
AI & Data Science Sr. Manager
Posted 10 days ago
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Job Description
We're seeking an experienced and forward-thinking Senior Manager to lead our Data Science & AI initiatives. Youll take ownership of end-to-end project deliverydeveloping advanced analytics solutions and guiding a talented team to drive digital transformation across business areas like supply chain, logistics, procurement, and smart manufacturing.
Your Key Responsibilities- Lead full AI/data project lifecycle: scoping, development, validation, deployment, and monitoring.
- Collaborate with stakeholders to define analytics goals and convert them into actionable models.
- Architect AI/ML solutions using Python , cloud, and big data technologies.
- Mentor a team of data scientists and developers.
- Present insights to senior leadership and clients; support business development and proposals.
- Grow the Data Science practice and shape its long-term direction.
- Masters/PhD in Statistics, Computer Science, or related field.
- 12+ years of experience in AI, data science, or analytics.
- Expertise in Python, R, SQL , and libraries like Pandas and NumPy .
- Strong knowledge of optimization, ML, DL, NLP, simulation, and computer vision.
- Hands-on experience with cloud, Git, agile practices , and production environments.
- Deep understanding of analytics in logistics, inventory, and enterprise operations.
- Excellent communication, stakeholder management, and consulting skills.
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Head of AI & Data Science
Posted 24 days ago
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Responsible for leading and delivering analytics solutions for our clients and associate functions such as, integrated business planning, produce lifecycle management, procurement transformation, smart manufacturing, digital logistics & fulfilment, and enterprise asset management. The candidate will also be involved in designing and developing analytics models using next generation technologies and Python.
The candidate will also be responsible in running and growing the Organization's Analytics Data Science Practice.
Role Description:
- Lead and manage end to end AI and Data focused projects for clients, including problem definition, data acquisition, model development, validation, deployment and monitoring.
- Work closely with clients and stakeholders to understand their business needs and objectives, and translate them into analytics problems and solutions.
- Lead a team of AI/ML experts to deliver high-quality solutions for clients.
- Provide thought leadership and guidance on best practices and methodologies.
- Architect and implement scalable and robust analytics solutions using Python and next generation technologies such as cloud, big data, AI/ML, etc.
- Get involved in business development, client engagement, proposal writing and presentation of the solutions to senior stakeholders and clients.
- Identify new opportunities and generate proposals for potential clients
- Mentor and coach junior analysts and developers on the team
Key Skills:
- At least 12 years of experience in data science, analytics, or artificial intelligence related modelling in the industry
- Proficiency in Python, R, SQL, and other data analysis tools and platforms
- Strong knowledge of analytical modelling required for fields such as logistics & distribution, inventory management, stock policy, optimization, catalogue health etc.
- Strong expertise in the application of analytical and AI techniques, such as optimization, simulation, machine learning, deep learning, natural language processing, computer vision, etc.
- High expertise in Python and next generation technologies such as cloud, big data, AI/ML, etc.
- Strong knowledge of Pandas and Numpy libraries.
- Excellent mathematical, statistical, and analytical skills.
- Understanding of end-to-end product development lifecycle in different environments such as dev, QA, and production.
- Git version control and Agile development experience.
- Experience in architecting and working on end-to-end analytics project lifecycle, including data acquisition, model development, validation, deployment and monitoring
- Ability to manage clients and stakeholders effectively and build strong relationships
- Ability to translate business problem into analytics problem and vice versa
- Excellent presentation and consulting skills
Work setup: Hybrid
Work location: BGC, Taguig City
Work schedule: Mid-shift