1,556 Data Analytics jobs in the Philippines
Data Analytics
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Data Analytics / Reports Analyst Supervisor
Location: Taguig (Hybrid)
Salary: ₱50K (negotiable based on experience)
Start Date: Immediate
About the Role
We are looking for a Reports Analyst Supervisor with strong leadership and data analytics skills to manage a reporting team and deliver high-quality reports to business stakeholders in the healthcare/insurance domain.
Key Responsibilities
- Supervise and mentor a team of reporting analysts.
- Design, prepare, and deliver daily, weekly, and monthly reports.
- Provide insights through advanced Excel reporting, pivot tables, slicers, and PowerPivot.
- Work closely with leadership teams to address reporting requirements.
- Ensure data accuracy and integrity in reporting solutions.
Qualifications
- People management experience required.
- Background in healthcare and/or insurance preferred.
- Advanced proficiency in MS Excel (Pivot, PowerPivot, slicers, complex formulas).
- Experience with MS Access and data analysis.
- Strong reporting and presentation skills (PowerPoint).
- Willing to work onsite in Taguig (hybrid setup).
Job Type: Full-time
Pay: Php50,000.00 per month
Application Question(s):
- Do you have experience managing or supervising a reporting/analytics team?
- Have you worked in the healthcare or insurance domain?
- How advanced are your skills in MS Excel (pivot tables, PowerPivot, slicers)?
- Are you comfortable using MS Access for reporting and analysis?
- Are you open to a hybrid work arrangement in Taguig?
- Last drawn salary
- expected salary
Work Location: On the road
Data Analytics
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Job Title:
Data Analytics / Reports Analyst Supervisor
Location:
Taguig
Work Setup:
Hybrid
Salary:
Negotiable
About the Role:
We are seeking a Reports Analyst Supervisor with strong analytical, reporting, and leadership skills. This role is responsible for overseeing reporting processes, ensuring accuracy, and delivering actionable insights that support business decision-making.
Key Responsibilities:
- Supervise and guide reporting analysts to ensure quality and timeliness of deliverables.
- Create and manage daily, weekly, and monthly reports for leadership teams.
- Develop dashboards and reports using Excel, SFDC, Tableau, and other analytics tools.
- Perform data analysis to identify trends, opportunities, and process improvements.
- Streamline and enhance reporting processes for efficiency and automation.
- Collaborate with cross-functional teams to meet reporting and business requirements.
Qualifications:
- Proven experience in people management.
- Background in healthcare and/or insurance
. - Advanced expertise in MS Excel (formulas, functions, pivots, slicers, PowerPivot)
. - Knowledge of MS Access, SFDC reporting, Tableau, and data integration tools
. - Familiarity with Splunk/Datadog, Python
(Pandas), and telemetry data analysis. - Strong analytical and problem-solving skills.
- Excellent communication and presentation abilities.
Data Analytics
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Key responsibilities
- Request and monitor submission of claims utilization report based on the agreed timeline.
- Ensures completeness of data that requires to create the presentation material and analytics.
- Preparation of claims analysis based on the submitted reports and analytics coming from the insurer and data coming from HR (APE Results). Preparation for Clinic Management
- Ensure accuracy of the utilization report.
- Request and monitor submission of claims utilization report based on the agreed timeline.
- May be requested to present to the client.
- Perform other duties that may be assign from time to time
Qualifications
Proficient in Microsoft Office ( MS Excel & Powerpoint )
- Ensures completeness of data that requires to create the presentation material and analytics.
- With good communication skills (verbal and written). May be requested to present to the client.
- Proficient in Microsoft Office ( MS Excel & Powerpoint )
- With Medical Background.
- With background in creation of HMO utilization reports.
- With good communication skills (verbal and written).
Job Type: Full-time
Pay: Php20, Php25,000.00 per month
Work Location: In person
Data Analytics
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Minimum Qualifications:
- Must be a graduate of either BS Industrial Engineering, BS Management Engineering, BS Mathematics/Statistics, or any course with Operations Research (OR);
- Knowledgeable in Data Analytics;
- Has good MS Excel & VBA skills;
- Has basic skills in MS PowerBI & Python;
- Can conduct OR and Data Analytics studies, focusing on data processing and analysis, mathematical modeling, systems development, results analysis, and presentation preparation;
- Define and structure business problems, and present and document results;
- Research the latest trends in OR and Data Analytics.
Data Analytics
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APAC Assurance Analytics Delivery Specialist (Data Analytics Associate)
APAC Data and Intelligence Delivery Team
EY's commitment to the quality and integrity of our audits is exemplified by our global audit methodology
and our thorough quality controls that are applied to every client engagement. Together with our substantial investments in technology, knowledge, and learning resources on behalf of our audit
professionals, this commitment enables us to deliver quality assurance services to our clients and their
stakeholders.
The use of data analytics and automation of processes is a key focus of EY's Assurance practice and an
integral part of the audit services we provide to our clients. The process to request, capture, transfer, transform and prepare client data for analysis is a foundational prerequisite to integrating analytics into
the audit and is the central mission of our Data and Intelligence Delivery Team. The Data and Intelligence
Delivery Team collaborates with Assurance teams to deliver in depth data analysis across a variety of
business processes, for a wide range of clients.
We are currently seeking qualified candidates for an excellent career opportunity as an APAC Analytics
Delivery Specialists (Data Analytics Associate) for the APAC Data and Intelligence Delivery team. The successful candidate will be joining a team which will be dynamic as it grows to support the APAC
Assurance business. The reporting line will be into the APAC Data and Intelligence Delivery Team Lead in
Manila.
Key Responsibilities include:
- Manage a portfolio of engagements as assigned by the APAC Data and Intelligence Delivery
resourcing administrator through a web-based tracking site. - Work with engagement teams to create a repeatable analytics delivery process that allows teams
to understand, cleanse and transform complex data sets to an easily digestible format through the
use of data analytics tools. - Develop and maintain relationships with engagements teams and commit to create a common user
experience through a standardized analytics approach. - Complete data analytics projects based on an agreed service-level agreement (SLA) and escalate
long outstanding projects to the APAC Data and Intelligence Delivery Market Operations Lead. - Create working papers documenting the procedures performed in a concise and organized
manner, and meet the requirements set forth in the audit methodology. - Apply best practices in managing data efficiency throughout the data delivery process.
- Stay up-to-date with new analytics techniques, auditing and accounting standards which impact the
use data analytics in audit engagements.
Qualification, Certification, Education
To qualify, candidates must have:
- A degree in accounting, management accounting, accounting technology and other related fields.
- Relevant knowledge of data analytics software (e.g., MS SQL Server, Alteryx), is a plus.
- Relevant knowledge of data visualization tools (e.g., Spotfire,Microsoft Power BI) and other ERP (Enterprise Resource Planning) specific tools (e.g. SAP, Oracle), is a plus.
- A strong understanding of business processes and related risks particularly those that impact financial reporting.
- Basic understanding of working with remote desktop protocols, file shares and SQL servers.
- Project management skills in handling multiple projects with conflicting demands, timeframes, and stakeholders.
- Strong communication and interpersonal skills needed to build relationships with engagement teams.
- An ability to function well in high pressure situations.
- Effective writing and presentation skills.
- Integrity within a professional environment.
Data Analytics
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Role Overview
The Data Analytics & Reporting Analyst will be responsible for collecting, analyzing, and transforming data into actionable insights that support strategic and operational decision-making. This role will work closely with cross-functional teams to develop dashboards, reports, and data models that improve visibility into performance metrics, service delivery, and operational efficiency.
Job Responsibilities:
- Data Visualization using reporting tools such as Power BI, Tableau, or similar platforms.
- Data Manipulation and Analysis using structured and semi-structured data to identify trends, anomalies, and opportunities for improvement.
- Collaborate with stakeholders to define and document KPIs and reporting requirements.
- Ensure data integrity through validation, cleansing, and quality assurance processes.
- Support executive reporting needs, including Service Desk measures and productivity metrics.
- Automate recurring reports and streamline data workflows using SQL, Python, or R.
- Participate in data governance and alignment initiatives across business units.
- Present findings and recommendations to leadership and operational teams.
Job Qualifications:
Education & Experience
- Bachelor's degree in data science, statistics, computer science, or related field.
- 3+ years of experience in data analytics, reporting, or business intelligence.
- Proficiency in SQL and Excel (Pivot Tables, VLOOKUP, etc.).
- Experience with data visualization tools (Power BI, Tableau).
- Strong analytical and problem-solving skills.
- Excellent communication and presentation abilities
Skills & Competencies
- Strong collaboration, communication and interpersonal skills with the ability to work on a fast paced environment
- Deep understanding of ITIL framework, ITSM and service management principles.
- Hands-on experience in Service Level reports
- Excellent organizational and multitasking abilities, with keen attention to details.
- Willing to work on US Daytime schedule and follow US Flexible Holiday
- Experience in healthcare, managed care, or technical support environments.
- Familiarity with Snowflake, Datamart, and enterprise dashboarding tools.
- Knowledge of statistical modeling and predictive analytics.
- Exposure to reporting alignment practices in Service Desk operations (e.g., AHT, FCR, Resolution Rate, MTTR)
- Nice to have skills: Machine Learning, Statistics and Scripting
Data Analytics
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CIRROLYTIX
is a
social impact AI company
on a mission to help individuals and institutions unlock their full human potential by harnessing the power of data and artificial intelligence. We champion the responsible adoption of AI to uplift lives, particularly in the Philippines, and to mitigate the societal risks of misuse or failure of AI systems. Every project we work on is grounded in these principles.
We are seeking an intern with strong interest in
data analytics and technical skills
who is also willing to take part in
non-technical responsibilities
like
community engagement
and
event coordination
.
The role is primarily focused on
data work
--collecting, cleaning, analyzing, and visualizing information using tools like Excel, Python, and NLP libraries. But since our work connects data with people, you'll also support outreach and events that bring insights to stakeholders.
This position is
mostly remote
, with about
one week onsite (non-consecutive days)
for encoding, events, or coordination that requires in-person presence.
Contract
: 2 months
Work Arrangement
: Mostly Remote (with ~1 week required onsite, spread across different days)
Technical
- Collect, encode, and clean datasets for analysis.
- Apply descriptive statistics and diagnostic methods to uncover trends.
- Use Python, R, or similar tools for wrangling, analysis, and automation.
- Apply basic NLP techniques such as text cleaning, keyword extraction, or sentiment tagging.
- Build visuals (charts, dashboards, infographics) in Excel, Power BI, Tableau, or Python libraries.
- Draft clear, data-driven insights that can be shared with non-technical audiences.
Community Engagement & Events
- Assist in outreach to partners and stakeholders, sharing findings in accessible ways.
- Help prepare content (updates, briefs, social media posts) based on project outputs.
- Support planning and logistics for workshops, webinars, or team activities.
- Provide onsite or virtual assistance during events (registrations, note-taking, participant coordination).
General Support
- Keep records organized and updated.
- Follow confidentiality and data protection protocols.
- Contribute to other team tasks as needed.
Skills You'll Develop
- Technical Depth:
Data wrangling, statistics, Python/R, and basic NLP. - Visualization:
Presenting data clearly in dashboards, charts, and reports. - Communication:
Explaining technical outputs in plain language. - Community & Events:
Understanding how data connects to people through engagement and activities. - Adaptability:
Building a profile that balances analytical expertise with people-oriented skills.
Qualifications
- Currently enrolled in or recently graduated from a program in
Data Science, Statistics, Computer Science, Social Sciences, Business, Communications,
or related fields. - Strong skills in Excel (required).
- Familiarity with Python, R, or similar tools is an advantage.
- Exposure to NLP techniques is a plus.
- Strong organizational, writing, and communication skills.
- Willingness to learn both technical and community-facing responsibilities.
- Ability to handle sensitive information responsibly.
What You'll Gain
- Practical experience in
data analytics, NLP, and visualization tools
. - Skills in
community engagement and event coordination
. - A well-rounded profile combining analytical and people-oriented abilities.
- Mentorship and guidance from professionals in
analytics, research, and social impact
. - A skillset adaptable to industries like tech, consulting, non-profit, and business.
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Data Analytics Lead
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POSITION OBJECTIVE
The Data Analytics Lead will be responsible for managing existing data and utilizing their strong analytical skills and experience in the design, creation, management, and use of large data sets. They will lead a team of data analysts and drive the development and implementation of data analytics strategies and solutions that enable informed business decisions. The ideal candidate should have a deep understanding of data analytics techniques and technologies, and be able to combine raw data from different sources to generate valuable insights. The Data Analytics Lead should also be highly adaptable, able to manage multiple projects simultaneously and maintain a high level of attention to detail and accuracy. Effective communication and collaboration with stakeholders across various departments and levels of the organization will be critical to success in this role.
POSITION KEY FUNCTIONS
Develop analytics-based solutions that produce quantitative and qualitative business insights.
Work with operations teams to integrate systems and data quickly and effectively.
Analyze raw information through statistical analysis to discover trends/patterns that can be used for building data products to extract valuable business insights.
Design, implement, and apply analytics techniques using analytical tools.
Summarize key data-driven insights through data visualization reports for stakeholders.
Structure and organize data for use in specific analytics (data cleansing).
Ensure work safety, work discipline, and order in the workplace, compliance with H&S rules, regulations, and guidelines on health and safety at work.
Carry out activities in the required quality and accordance with generally binding legal regulations and internal regulations of the company.
Utilize labor resources entrusted to use for their work by the generally binding legal regulations and internal regulations of the company.
Collaborate with cross-functional teams to identify business needs and opportunities for data analytics and reporting.
Develop and maintain data analytics best practices, standards, and processes.
Provide guidance and mentorship to junior analysts and team members.
Develop and maintain effective relationships with stakeholders across the organization.
Keep up-to-date with industry trends and advancements in data analytics and technology.
Communicate data-driven insights and recommendations to executive leadership and other stakeholders.
POSITION'S PROFILE
KEY COMPETENCIES/DESCRIPTION
EDUCATION
BS degree in Mathematics, Engineering, Statistics, or any related field.
EXPERIENCE
Minimum of 4-5 years experience in data analytics and insight-related experience
PERSONAL COMPETENCIES
Excellent teamwork and relationship-building skills
Proactive problem-solving abilities with a focus on continuous improvement
Exceptional time-management and organizational skills
SKILLS/KNOWLEDGE
Expertise in big data mining, modeling, and analysis
Strong knowledge of statistical analysis techniques and data visualization tools
Familiarity with programming languages such as Python, R, and SQL
Excellent written and verbal communication skills, including the ability to communicate complex data insights to non-technical stakeholders
In-depth understanding of the latest data analytics trends and best practices
OTHER
Ability to manage multiple projects simultaneously and prioritize effectively
Attention to detail and commitment to producing accurate and high-quality work
Proven experience in leading and mentoring data analytics teams
Data Analytics Intern
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We are looking for a Data Analytics Intern to support our research & analytics team in analyzing and interpreting data to drive business decisions. The intern will assist in collecting, organizing, and visualizing data, as well as generating reports and insights on marketing performance.
Responsibilities:
- Assist in collecting and analyzing data from SEO, SMM, website, and campaign performance.
- Use tools such as Google Looker Studio, Google Analytics, and other reporting platforms to create dashboards and reports.
- Identify trends, patterns, and insights from marketing data.
- Support the team in competitor research and performance monitoring.
- Prepare simple presentations and visual reports for internal and client use.
- Collaborate with team members on data-driven recommendations.
Qualifications:
- Currently pursuing a degree in Marketing, Statistics, Business, or related field.
- Basic knowledge of data analysis and visualization tools (e.g., Excel, Google Looker Studio, Google Analytics).
- Strong attention to detail and analytical mindset.
- Interest in digital marketing (SEO, SMM, and related areas) is a plus.
Job Type: OJT (On the job training)
Contract length: 4 months
Benefits:
- Flexible schedule
- Flextime
- Opportunities for promotion
- Promotion to permanent employee
- Work from home
Work Location: Remote
Manager, Data Analytics
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This position will drive the development of Business Intelligence capabilities in Asia and will leverage analytics to help leaders generate valuable insights in support of strategic & tactical data-driven decision making and derive operational efficiencies by employing technology to streamline reporting resources.
This will play an integral role in the commercial pursuit by ensuring that our product delivers a complete, timely, & actionable visibility solution for our customers. Grow Order Pilot by supporting commercial leaders in presenting capabilities to customers. Keep up with technology trends and incorporate BI capabilities in our innovative logistics solutions offering.
This role will manage a strong BI team with the requisite expertise and capabilities to continually provide value.
Data Management & Base Specifications
- Lead data technology solution design and implementations and ensure requirements are met and delivered on time.
- Define KPI's for performance management and improvement, generate report results and present findings.
- Develop efficient, scalable, and repeatable processes using large scale data sets for external and internal customers. Create and troubleshoot database and queries.
- Create data visualization and dashboards for internal and external clients.
Project & Process Management
- Manage complex projects including the management of documents, workbooks and code and provide written explanations in plain language that supports methodology, conclusions, and observations.
- Drive efficiency through continuous improvement & automation. Ensures global initiatives and process changes are successfully documented, implemented, and reflected in the steering measures.
Product Management
- Development of BI/Analytics team (globally and for key accounts)
- Management of APLL products and enhancements. Operations Management
- Define and agree Service Level Agreements (SLAs) with key stakeholders, including Key Performance Indicators (KPIs), and manage performance.
- Participate and lead monthly performance calls with Key Stakeholders.
Leadership and Direction
- Manage people, resources, and processes to ensure high quality service delivery in line with global process model and agreed on target KPIs.
- Identifies training and development programs for members to develop a high performing and engaging team
- Mentor and develop employees to assume leadership positions in the company and build talent paths for key performers.
- Manages overall employee hiring, evaluation, and termination.
Financials
- Manage department budget and ensure spends are within approved budget and accounted for.
- Meet and exceed contribution margins and EBIT targets in projects.
- Regular period review with Finance to close performance gaps on financials. Support in annual budgeting exercise; present to Senior Leadership team.
General Experience
- Minimum 7 to 10 years of experience in analytics role; preferably in logistics, shipping or related industry.
- Data analytics, business intelligence, database management, reporting or similar.
- Experience with MS Excel, MS Access, SQL, Server, SSIS, VBA, and BI Software like Tableau, QlikView or similar.
Managerial Experience
- Experience in managing a team of 10 to 20 headcounts.