247 Data Intelligence jobs in the Philippines

• Develop and implement a data analytics strategy aligned with organizational goals.
• Lead, mentor, and manage a team of data analysts and data scientists.
• Minimum 3-4 years of people management experience required.
• Master's degree required.

• Foster a culture of data-driven decision-making within the department.

• Oversee data collection processes, ensuring accuracy, completeness, and timeliness.

• Analyze large datasets to identify trends, patterns, and insights.
• Minimum 4-5 years of experience in data analytics or business intelligence required.

• Develop dashboards, reports, and visualizations to communicate findings effectively.

• Partner with cross-functional teams (e.g., marketing, finance, operations) to identify analytics needs and deliver insights.

• Present findings and recommendations to senior leadership and stakeholders.

• Ensure data integrity and compliance with organizational and regulatory standards.

• Utilize advanced analytics tools and techniques, including machine learning and predictive modeling, where applicable.

• Python/R programming skills essential.
• Evaluate and implement new analytics technologies and platforms.

• Optimize data workflows and processes for efficiency and scalability.

• Establish and track key performance indicators (KPIs) to measure the impact of analytics initiatives.

• Monitor and improve the performance of data systems and tools.

As Business Data Intelligence Analyst, you will develop and maintain business dashboards, reports, and MIS to help bank leaders track performance, understand customer behavior, and meet regulatory requirements. This role delivers accurate and timely insights, supports compliance and audit processes, and identifies opportunities to automate and optimize reporting. The BI Analyst also collaborates with business and technology teams to ensure data outputs meet specifications and align with business goals.

Qualifications

• Bachelor's degree in Math, Statistics, Data Science, Computer Science, IT, Engineering, or Economics
• 1–5 years of experience in data analysis, reporting, or BI development
• Proficiency in SQL and at least one programming language (Python or R)
• Hands-on experience with BI tools such as Tableau, Power BI, or Amazon QuickSight
• Strong analytical skills, with ability to translate data into insights
• High attention to detail and integrity in handling sensitive data

Job Description:

At Johnson & Johnson (J&J), we are passionate about our mission to care for the world, one person at a time. We adopt research and innovation, providing groundbreaking ideas, products, and services that advance the health and well-being of people globally. As part of our Employee Family, you'll join over 128,700 teammates across more than 275 operating companies in 60 countries, united in a dedication to improving lives daily.

Johnson & Johnson Global Services (GS) operates as the shared services organization that supports the businesses of Johnson & Johnson. We strive to streamline functional work across regions and sectors by applying standardized processes and innovative technology. The vision of GS is to further trusted relationships and deliver significant value by providing extraordinary services that empower our teams.

Job Summary:

We are seeking a highly skilled Data Intelligence Specialist to join our dynamic team. This role will focus on leading data transformation initiatives, advanced analytics, business intelligence, and automation solutions. The ideal candidate will possess a comprehensive background in data analytics, data engineering, business intelligence tools, and machine learning, with a demonstrable ability to demonstrate data to drive strategic insights and operational efficiencies.

Key Responsibilities:

• Lead the development and execution of projects focused on data intelligence, ensuring alignment with business strategies and objectives.
• Collaborate with multi-functional teams to find opportunities for demonstrating data and analytics to drive business improvements and innovations across various projects.
• Design, implement, and optimize business intelligence dashboards and reporting tools that provide clear and actionable insights for customers.
• Develop, manage, and optimize data pipelines and processes to ensure integrity, availability, and usability in collaboration with the GSIE squad.
• Apply advanced analytics techniques and machine learning algorithms to uncover trends, patterns, and insights from complex datasets in partnership with the Advanced Analytics team.
• Establish standard methodologies for data checks, review assurance, and documentation to ensure reliable data usage.
• Provide mentorship and training to junior data analysts and team members, promoting knowledge sharing and best practices in data intelligence.
• Communicate findings and insights through engaging presentations and analyses, ensuring complex information is accessible and understandable.
• Stay current with industry trends and emerging technologies in data analytics, business intelligence, and machine learning, evaluating their applicability to the organization.
• Collaborate with the Data and AI team to ensure projects support data intelligence initiatives.

Qualifications and Required Skills:

• Bachelor's degree or equivalent experience in Data Science, Computer Science, Engineering, Statistics, or a related field.
• Demonstrable experience (typically 5+ years) in data analytics, business intelligence, machine learning, or related fields, with at least 2 years in a leadership capacity.
• Strong proficiency in business intelligence tools (e.g., Tableau, Power BI, Looker) and data visualization techniques.
• Extensive experience with data engineering practices, including data modeling, ETL processes, and database management (e.g., SQL, NoSQL). Experience in Databricks or Snowflake.
• Familiarity with cloud data platforms (e.g., AWS, Google Cloud, Azure) and big data technologies (e.g., Hadoop, Spark, Databricks).
• Knowledge of automation tools and frameworks (e.g., Apache, Alteryx, RPA technologies) to improve workflow efficiency.
• In-depth knowledge of machine learning frameworks (e.g., TensorFlow, Keras, Scikit-learn) and analytics methodologies.
• Strong problem-solving skills and ability to handle complex datasets and derive actionable insights.
• Superb communication skills with the ability to communicate complex technical concepts to both technical and non-technical audiences.
• Ability to work effectively within a team and manage multiple projects in a fast-paced environment.
• Strong leadership and mentoring abilities with experience working effectively in a matrix environment.
• Capability to communicate complex data concepts to diverse audiences.

As part of our Company's growth and expansion plans, we are preparing to relocate to a new office in BGC, Taguig City, tentatively by Q Please note that the timeline may still change depending on project developments and other considerations.

This is Direct hire - Permanent role to our client -

The s alary range on this post is NOT the actual Budget of our client. Salary offer depends on your skills and experience and f or approval of our client's management. They may still negotiate you.

Specific position: Business Intelligence Analyst

• Graduate of Bachelor's Degree
• Willing to work on a Dayshift SCHEDULE: (This is Dayshift but specific working hours and days are still for verification to our client and if this is compressed hours of 10.6 hrs - including the break time such as 8AM-6:30PM. You may reverify this to our client)
• ·Amenable to work onsite in Mandaluyong - near Boni - Hybrid for now until further notice (Hybrid but Mostly onsite: Possibly up to 3x onsite/week but still for verification)
• WILLING TO WORK in Libis office- Quezon City: 1st quarter of 2026 and will be working onsite for 3 days.
• Comfortable with presenting insights to partners and internal teams, and managing expectations and deadlines.
• At least 4+ years of experience in business intelligence, analytics, or a similar role.
• Retail/Airline/ FMCG or consulting industry
• SQL dashboard experience- required
• Proficiency in SQL (querying, joins, aggregations) and Python for data analysis.
• Hands-on experience with dashboard tools (Tableau, Power BI, or similar).
• Ability to transform raw data into actionable insights—from extraction to visualization and storytelling.
• Knowledge of customer loyalty programs or retail/e-commerce analytics
• Can start ASAP

Job Types: Full-time, Permanent

Pay: Php50, Php70,000.00 per month

Application Question(s):

• Are you willing to work on a Dayshift schedule? (This is Dayshift but specific working hours and days are still for verification to our client and if this is compressed hours of 10.6 hrs - including the break time such as 8AM-6:30PM. You may reverify this to our client)
• Are you willing to work onsite in Mandaluyong? - near Boni
• Are you willing to WORK IN LIBIS, QUEZON CITY - 3 days onsite? (the company is planning to relocate in Libis (1st quarter of 2026 )?
• How long is your total working experience in BPO/International companies , supporting international or foreign clients?
• How long is your total hands-on experience in Data Analysis?
• How long is your total hands-on experience in using SQL for querying, joins, and aggregations?
• Do you have hands-on experience in creating DASHBOARD using SQL?
• How long is your total hands-on experience in using Python for analysis?
• How long is your total hands-on experience in Tableau / Power BI?
• Do you have hands-on experience in transforming raw data into actionable insights—from extraction to visualization and storytelling?
• How much is your expected Salary? Php- basic pay/Month
• How soon can you start once hired?
• Do you have hands-on experience in analyzing customer loyalty programs or retail/e-commerce/Airline/FMCG data?

Education:

• Bachelor's (Preferred)

Work Location: In person

About Dedale:

Dedale is the
differentiating source of strategic intelligence in the technology space.

With a unique team of over 100 full-time research analysts & planners, Dedale leverages a network of over market professionals to deliver on the ground strategic intelligence to investors and corporates, with a core focus around North America and Europe.

Headquartered in Paris and still bootstrapped with 70%YoY growth
, our team gathers top talents with
diverse and international backgrounds
. Our Research & Investment team has the strongest expertise in the ecosystem on B2B Software due diligence, and we are surrounded by a network of mentors including high-profile tech founders and investors.

Our Culture:

Dedale gathers a group of highly talented international individuals (incl. US, Chinese, Filipino, French, Moroccan, Latvian, Lebanese nationalities among others).

The leadership team is composed of experienced investment professionals & management consultants (ex-McKinsey, BCG Project Leaders & managers).

Our advisory board is extremely high profile, including some of the most successful investors worldwide (incl. Managing Partners of the largest PE and Growth Equity funds, and Tech unicorn entrepreneurs).

Check out our culture and product here
: Dedale Intelligence : photos, vidéos, recrutement

About the role:

We're expanding our Data team to
deliver best-in-class insights and analytics that empower our audience to make informed investment decisions
and meet evolving business needs.

As a Data & Deep Intelligence Lead, you will report to the Chief Product Officer based in Paris. You'll play a pivotal role in
generating unique, market-leading datasets by ensuring data accuracy, completeness, and timeliness.
Using innovative data collection and analytical techniques, you'll help enhance transparency and deliver actionable intelligence that supports strategic decision-making.

This role offers the opportunity to lead a team of driven data professionals, influence data strategy, and oversee projects that directly impact business outcomes. Your focus will be on acquiring, managing, and integrating both public and private data sources while fostering strong stakeholder relationships and maintaining a deep understanding of market dynamics.

Your Responsibilities:

• Shape Data Strategy:
  Develop and implement data-driven strategies that balance technical rigor and product needs, collaborating across teams to deliver leading Investment Intelligence solutions.
• Drive Data Quality Initiatives:
  Lead initiatives to enhance data accuracy, completeness, and timeliness in line with evolving business priorities.
• Develop New Data Assets:
  Identify opportunities to source and integrate new datasets relevant to market trends and client needs.
• Project Leadership:
  Manage end-to-end execution of both short- and long-term projects—overseeing planning, resourcing, and delivery in collaboration with the Data Management team.
• Stakeholder Engagement:
  Facilitate ongoing communication with stakeholders and senior leadership across global offices to align on objectives and expectations.
• Team Leadership and Development:
  Manage a team of 8 and growing professionals, providing mentorship, performance feedback, and opportunities for professional growth.

Your Qualifications:

This role is based in PH.

• 7–9 years of experience in a data-centric role
• Proven track record in the financial services industry or a similar professional environment
• Bachelor's degree or higher in a relevant field
• Strong understanding of AI technologies and their applications in data management
• Proficient in data querying, interpretation, and communicating data requirements effectively
• Ability to manage, prioritize, and delegate across multiple concurrent projects
• Solid understanding of how data workstreams align with broader product and business goals
• Technical proficiency in: (Excel, SQL, Data extraction tools, Python, Any major data visualization tool (e.g., Power BI, Tableau, etc.)
• Excellent communication skills, with full professional fluency in English

Process:

• Introduction Call with Head of HR
• Interview with Chief Product Officer
• Case Study
• Final interview with CEO and a member of the Leadership Team

About Dedale:

Dedale is a leading provider of strategic intelligence in the technology space, leveraging a global network of analysts and market professionals to deliver actionable insights to investors and corporates. Our team thrives on diversity, innovation, and a passion for technology-driven solutions.

About the role:

We're expanding our Data team to deliver best-in-class insights and analytics that empower our audience to make informed investment decisions and meet evolving business needs.

As a Data & Deep Intelligence Lead, you'll play a pivotal role in generating unique, market-leading datasets by ensuring data accuracy, completeness, and timeliness. Using innovative data collection and analytical techniques, you'll help enhance transparency and deliver actionable intelligence that supports strategic decision-making.

This role offers the opportunity to lead a team of driven data professionals, influence data strategy, and oversee projects that directly impact business outcomes. Your focus will be on acquiring, managing, and integrating both public and private data sources while fostering strong stakeholder relationships and maintaining a deep understanding of market dynamics.

Your Responsibilities:

• Shape Data Strategy: Develop and implement data-driven strategies that balance technical rigor and product needs, collaborating across teams to deliver leading Investment Intelligence solutions.
• Drive Data Quality Initiatives: Lead initiatives to enhance data accuracy, completeness, and timeliness in line with evolving business priorities.
• Develop New Data Assets: Identify opportunities to source and integrate new datasets relevant to market trends and client needs.
• Project Leadership: Manage end-to-end execution of both short- and long-term projects—overseeing planning, resourcing, and delivery in collaboration with the Data Management team.
• Stakeholder Engagement: Facilitate ongoing communication with stakeholders and senior leadership across global offices to align on objectives and expectations.
• Team Leadership and Development: Manage a team of 8 and growing professionals, providing mentorship, performance feedback, and opportunities for professional growth.

Your Qualifications:

This role is based in PH.

• 7–9 years of experience in a data-centric role
• Proven track record in the financial services industry or a similar professional environment
• Bachelor's degree or higher in a relevant field
• Strong understanding of AI technologies and their applications in data management
• Proficient in data querying, interpretation, and communicating data requirements effectively
• Ability to manage, prioritize, and delegate across multiple concurrent projects
• Solid understanding of how data workstreams align with broader product and business goals
• Technical proficiency in: (Excel, SQL, Data extraction tools, Python, Any major data visualization tool (e.g., Power BI, Tableau, etc.)
• Excellent communication skills, with full professional fluency in English

Process:

• Introduction Call with Head of HR
• Interview with Chief Product Officer
• Case Study
• Final interview with CEO and a member of the Leadership Team

Data Science Consultant

We are looking for a highly experienced and technically proficient
Data Science Consultant
to join our team in
Manila
. This role requires a minimum of
7 years of dedicated experience
in data science and will involve significant leadership and technical contributions.

As a key member of our data science team, you will leverage your
expert Python skills
and understanding of
machine learning
to derive critical business insights. You will not only be responsible for hands-on data analysis and model development but also for guiding team decisions and fostering cross-functional collaboration.

Core Responsibilities:

• Technical Leadership:
  Act as a subject matter expert (SME), guiding and mentoring a team of data scientists, making crucial technical decisions, and ensuring high performance.
• Strategic Problem Solving:
  Identify and deliver data-driven solutions to complex problems impacting multiple teams and business functions.
• Collaboration & Influence:
  Engage effectively with various cross-functional teams to contribute to and influence key strategic decisions.
• Advanced Data Analysis:
  Perform comprehensive
  data analysis and munging
  (cleaning, transformation, normalization) on large, complex datasets to extract meaningful patterns and insights.
• Create compelling
  data visualizations
  using tools such as Tableau or Power BI to communicate findings clearly.

What You Bring:

• Expert-level Python
  skills.
• Profound understanding and hands-on experience with
  statistical analysis and a wide range of machine learning algorithms
  (e.g., linear/logistic regression, decision trees, clustering).
• Proven ability to
  extract, clean, and prepare large datasets
  for analysis.
• Proficiency in
  data visualization tools
  like Tableau or Power BI.

What's in store for you?

• Competitive salary and comprehensive benefits package
• Performance Bonuses
• Continuous learning and professional development programs
• Work with international clients

• Collect, clean, and analyze large structured and unstructured datasets.
• Develop and deploy machine learning models to solve business challenges.
• Design and implement experiments to test hypotheses and measure outcomes.
• Build data pipelines and scalable solutions for data processing.
• Communicate insights and recommendations to technical and non-technical stakeholders.
• Collaborate with engineers, product managers, and business analysts to integrate data-driven solutions into products and processes.
• Stay updated on emerging tools, technologies, and best practices in data science.