246 Analytics Engineer jobs in the Philippines

We're Hiring: Mid-level Analytics Engineer -  100% Remote

We're looking for detail-driven Analytics Engineers to join a growing data team. You'll be shaping analytics-ready datasets that fuel business intelligence dashboards and reports—helping stakeholders make smarter, data-backed decisions. If SQL is your language and turning raw data into insights excites you, we'd love to hear from you.

What You'll Be Doing

• Develop and maintain analytics-ready datasets to power BI dashboards and reports
• Write optimized SQL queries for data cleaning, transformation, and metric development
• Design scalable data models (e.g., star schemas, snowflake schemas)
• Collaborate with analysts, engineers, and business teams to translate requirements into data solutions
• Partner with data engineers to ensure pipelines are reliable and high-performing
• Build and maintain BI dashboards and reports using Looker, Power BI, or Tableau
• Ensure data quality through testing, documentation, and version control
• Support data governance with structured data definitions and clear documentation

What We're Looking For

• At least 3 years of experience as an Analytics Engineer
• Proficiency in SQL for complex data transformations and calculations
• Experience building analytics-ready tables and datasets for reporting
• Solid understanding of data modeling concepts such as star schema
• Experience with Looker or similar BI tools (e.g., Power BI, Tableau)
• Excellent communication and collaboration skills.

Bonus Points For

• Proven ability to work in cross-functional data teams
• Familiarity with data governance best practices
• Knowledge of advanced BI features and custom visualizations

Work Schedule

• 8:00 AM – 5:00 PM Philippine Time

What You'll Get

• Above-market compensation
• Long-term growth opportunities (with possible contract extension)
• A direct role in shaping data-driven decision-making
• Access to modern tools and a collaborative data-driven culture

What You'll Do

• Design, build, and maintain clean, well-documented data models with SQL and dbt.
• Integrate and model data from first-party sources (CRM, event tracking) and third-party platforms (ad/media partners).
• Use git for version control and collaborative code practices.
• Work with BigQuery to ensure efficient data processing and storage.
• Partner with data scientists, product engineers, and stakeholders to translate business logic into scalable data solutions.
• Document data pipelines and definitions clearly for both technical and non-technical audiences.

Key Requirements

• 3+ years of experience in analytics engineering, data engineering, or a related role.
• Advanced SQL skills with a proven record of building efficient queries and robust data models.
• Proficiency with git and collaborative workflows (branching, pull requests).
• Strong English communication skills (verbal & written).

Nice to Have

• Experience with BigQuery or other cloud data warehouses.
• Hands-on work with dbt for data transformations.
• Knowledge of Python for scripting/automation.
• Familiarity with or semantic layer tools.
• Exposure to Terraform or other infrastructure-as-code tools.
• Experience with marketing/advertising data (Google Ads, Meta, etc.).

Why Join Us?

• Work with a modern data stack and a collaborative, high-caliber team.
• Be part of a fast-growing SaaS startup solving one of the toughest challenges in marketing analytics.
• See the real impact of your work powering client insights and product innovation.
• Enjoy the flexibility of a fully remote role.

Job Types: Full-time, Permanent

Benefits:

• Company events
• Gym membership
• Health insurance
• Paid training
• Promotion to permanent employee
• Staff meals provided

Work Location: In person

Role description

About the Role:

The Senior Analytics Engineer will be responsible for designing, developing, and maintaining end-to-end data solutions. This includes building robust data pipelines that extract from source systems into the data warehouse, transforming raw data into well-modeled datasets readily available for business intelligence. The role requires close collaboration with cross-functional teams to empower business stakeholders to derive actionable insights and make data-driven decisions across the organization.

Scope of Work and Responsibilities

• Develop and maintain Master Data Management web application written in Java

• Design and develop scalable data pipelines that extract data from various source systems and transform data inside the data warehouse.

• Transform data into data models that adhere to dimensional modelling techniques i.e. Kimball.

• Collaborate with data analysts and stakeholders to understand data requirements and deliver meaningful insights.

• Ensure data accuracy and integrity through validation and quality checks.

• Participate in Agile development processes including Scrum and Kanban events.

• Prepare high-level and detailed technical designs for data solutions.

• Apply best practices in coding, testing, and deployment e.g. CI/CD pipelines.

• Stay updated with the latest trends in analytics engineering and suggest process improvements.

• Perform other relevant tasks as assigned.

Skills

Educational Requirements:

Graduate of Bachelor of Science in Information Technology, Engineering, Data Science, or other related fields.

Relevant Experience and Other Requirements:

• At least five (5) years of experience in a senior analytics engineering or a software engineering role.

• At least five (5) years of experience in architecture, design, and development of integrated systems.

• Strong analytical and problem-solving skills.

• Strong understanding of dimensional modelling techniques

• Familiarity with software development lifecycle and project management methodologies.

• Proven experience with developing Java web applications

• Proven experience with relational databases like Microsoft SQL Server

• Proven experience developing data pipelines using Python, PySpark and SQL.

• Extensive experience with Microsoft 365 applications.

• Familiarity with cloud platforms such as Azure or AWS.

• Experience in Agile methodologies (e.g., Scrum or Kanban).

About RCG Global Services

At Myridius, we transform the way businesses operate. Formerly known as RCG Global Services, our more than 50 years of expertise now drive a new vision—propelling organizations through the rapidly evolving landscapes of technology and business. We offer tailored solutions in AI, data analytics, digital engineering, and cloud innovation, addressing the unique challenges each industry faces. Our integration of cutting-edge technology with deep domain knowledge enables businesses to seize new opportunities, drive significant growth, and maintain a competitive edge in the global market. Our commitment is not just to meet expectations but to exceed them, ensuring measurable impact and fostering sustainable innovation. The success of Myridius is directly tied to the breakthroughs achieved by our clients. Together, we co-create solutions that not only solve today's challenges but also anticipate future trends. At Myridius, we go beyond typical service delivery. We craft transformative outcomes that help businesses not just adapt, but thrive in a world of continuous change. Discover how Myridius can elevate your business to new heights of innovation. Visit us at and start leading the change.

About the Role:

The Senior Analytics Engineer will be responsible for designing, developing, and maintaining end-to-end data solutions. This includes building robust data pipelines that extract from source systems into the data warehouse, transforming raw data into well-modeled datasets readily available for business intelligence, and creating interactive and user-friendly data visualizations using Power BI. The role requires close collaboration with cross-functional teams to empower business stakeholders to derive actionable insights and make data-driven decisions across the organization.

Scope of Work and Responsibilities

• Design and develop scalable data pipelines that extract data from various source systems and transform data inside the data warehouse.
• Transform data into data models that adhere to dimensional modelling techniques i.e. Kimball.
• Create visually compelling and informative dashboards and reports using Power BI.
• Collaborate with data analysts and stakeholders to understand data requirements and deliver meaningful insights.
• Ensure data accuracy and integrity through validation and quality checks.
• Design interactive, user-friendly visualizations tailored to different stakeholder needs.
• Participate in Agile development processes including Scrum and Kanban events.
• Prepare high-level and detailed technical designs for data solutions.
• Apply best practices in coding, testing, and deployment including CI/CD pipelines.
• Stay updated with the latest trends in data engineering and visualization and suggest process improvements.
• Perform other relevant tasks as assigned.

Requirement and Qualification

Educational Requirements:

• Graduate of Bachelor of Science in Information Technology, Engineering, Data Science, or other related fields.

Relevant Experience and Other Requirements:

• At least five (5) years of experience in a senior analytics engineering or developer role.
• At least five (5) years of experience in architecture, design, and development of integrated systems.
• Strong analytical and problem-solving skills.
• Strong understanding of dimensional modelling techniques
• Familiarity with software development lifecycle and project management methodologies.
• Proven experience with relational databases like Oracle, SQL Server, etc.
• Proven experience developing data pipelines using Python, PySpark and SQL.
• Extensive experience with Microsoft 365 applications.
• Familiarity with cloud platforms such as Azure or AWS.
• Experience in Agile methodologies (e.g., Scrum or Kanban).
• Proficiency in Power BI; experience with Tableau and other visualization platform is a plus.
• Experience with Azure DevOps is preferred.
• Experience with Azure Cloud Services and CI/CD pipelines is an advantage.
• Certifications in Secure Coding, Scrum, or DevOps are a plus.
• Experience working in teams of five or more members.
• Ability to work with senior executives from diverse cultures.
• Excellent oral and written communication skills in English.

Job Type: Fixed term

Contract length: 12 months

Pay: Php95, Php145,000.00 per month

Benefits:

• Company Christmas gift
• Company events
• Opportunities for promotion
• Promotion to permanent employee

Education:

• Bachelor's (Preferred)

Work Location: In person

Role description

• Design and develop scalable data pipelines that extract data from various source systems and transform data inside the data warehouse.

• Transform data into data models that adhere to dimensional modelling techniques i.e. Kimball.

• Create visually compelling and informative dashboards and reports using Power BI.

• Collaborate with data analysts and stakeholders to understand data requirements and deliver meaningful insights.

• Ensure data accuracy and integrity through validation and quality checks.

• Design interactive, user-friendly visualizations tailored to different stakeholder needs.

• Participate in Agile development processes including Scrum and Kanban events.

• Prepare high-level and detailed technical designs for data solutions.

• Apply best practices in coding, testing, and deployment including CI/CD pipelines.

• Stay updated with the latest trends in data engineering and visualization and suggest process improvements.

Perform other relevant tasks as assigned.

Educational Requirements:

Graduate of Bachelor of Science in Information Technology, Engineering, Data Science, or other related fields.

Relevant Experience and Other Requirements:

• At least five (5) years of experience in a senior analytics engineering or developer role.

• At least five (5) years of experience in architecture, design, and development of integrated systems.

• Strong analytical and problem-solving skills.

• Strong understanding of dimensional modelling techniques

• Familiarity with software development lifecycle and project management methodologies.

• Proven experience with relational databases like Oracle, SQL Server, etc.

• Proven experience developing data pipelines using Python, PySpark and SQL.

• Extensive experience with Microsoft 365 applications.

• Familiarity with cloud platforms such as Azure or AWS.

• Experience in Agile methodologies (e.g., Scrum or Kanban).

• Proficiency in Power BI; experience with Tableau and other visualization platform is a plus.

• Experience with Azure DevOps is preferred.

• Experience with Azure Cloud Services and CI/CD pipelines is an advantage.

• Certifications in Secure Coding, Scrum, or DevOps are a plus.

• Experience working in teams of five or more members.

• Ability to work with senior executives from diverse cultures.

Excellent oral and written communication skills in English

Skills

About RCG Global Services

At Myridius, we transform the way businesses operate. Formerly known as RCG Global Services, our more than 50 years of expertise now drive a new vision—propelling organizations through the rapidly evolving landscapes of technology and business. We offer tailored solutions in AI, data analytics, digital engineering, and cloud innovation, addressing the unique challenges each industry faces. Our integration of cutting-edge technology with deep domain knowledge enables businesses to seize new opportunities, drive significant growth, and maintain a competitive edge in the global market. Our commitment is not just to meet expectations but to exceed them, ensuring measurable impact and fostering sustainable innovation. The success of Myridius is directly tied to the breakthroughs achieved by our clients. Together, we co-create solutions that not only solve today's challenges but also anticipate future trends. At Myridius, we go beyond typical service delivery. We craft transformative outcomes that help businesses not just adapt, but thrive in a world of continuous change. Discover how Myridius can elevate your business to new heights of innovation. Visit us at and start leading the change.

Disclaimer: Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of your current or previous employer.

Responsibilities:

Data Pipeline Optimization and Development

• Designs and develops data requirements for upcoming features by collaborating closely with application teams and business teams from North America and South Korea
• Builds robust ETL/ELT pipelines in Python to support business needs, while ensuring scalability and performance.
• Designs and develops and automates the generation of data marts aligned with business needs

Implement data governance best practices to ensure data quality

• Spearheads testing sessions and exercises with teams to assess data quality, accuracy, metric alignment, and consistency across various systems and reports.
• Leads the development and maintenance of technical documents regarding the datasets within the team to ensure long-term sustainability of operations.
• Ensures accuracy and reliability of dashboards for executives, business teams, product teams, and operations teams.
• Proactively shares and implements best practices and new developments regarding data governance and improvement of data quality.

Analytics Support and Collaboration

• Provides assistance with day-to-day data requirements if needed (eg. custom data requests)
• Work closely with data scientists, data analysts and data engineers to improve processes, operations, ways of working, and develop future projects and initiatives
• Develops and creates dashboards and reports if needed

Qualifications:

• Relevant previous work experience (Business Intelligence, Enterprise Data Management, Data Governance, Data Engineering), reports / dashboard creation.
• Mandatory: Skilled in SQL.
• Experience using Tableau, OR Experienced with SAS / Power BI / Looker Studio and willing to learn Tableau.
• Experience working in mobile payments, e-commerce, fintech, or any industry with complex data ecosystems (eg. multiple data sources, high data volume, high velocity data processing requirements) is highly advantageous.
• Bachelor degree in Computer Science, Mathematics or Statistics preferred but not required.
• Experience using cloud-based Data Warehouses (BigQuery, Redshift) is a plus.
• Candidates with experience in coding Data Pipelines in Python, Spark, and/or Airflow are preferred.

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ERNI
is a fast-growing Software Development company headquartered and founded in Switzerland in 1994, with more than 800 employees. We are highly specialized in IT & software engineering to enable and deliver innovation in process and technology. Our first service center in Asia Pacific is in Metro Manila (Mandaluyong) from where we provide our service to Europe, APAC incl. our local market Philippines, and USA regions. We are now geared towards expansion and are looking for highly motivated joiners.

WHY ERNI is the best place to call HOME?


At ERNI,
this is how we can support you;
ALL
company
PERKS AND BENEFITS
take effect
UPON HIRING

• Contract: there is always a project and opportunity for you.
• Personal Development and Travel Opportunities outside the Philippines.
• Baby Basket – to welcome your newborn to the ERNI family.
• Fruit Basket – boost of vitamins during hospitalization.
• Free snacks and coffee in the office

UNLOCKING NEW DOORS OF
GROWTH & OPPORTUNITIES

• Free Training with Certifications: Grow with us through technical and non-technical training.
• Challenging Projects: ERNI is dedicated to developing high-quality software in complex technical environments such as MedTech, Industry, Finance, and Transportation. Have the chance to participate in various technically challenging projects amongst passionate and skilled colleagues.
• Employee Welfare: You will be guided by a group of people who will guide and support you to have the right tools and mindset.
• Promotions & Recognition: From the very first day, we offer you a way to learn and develop yourself in our company. Your colleagues and superiors consistently recognize and appreciate all efforts, making you feel satisfied with your achievements.
• Communication: You will find transparency, honesty, and open communication in our working culture. we value suggestions, opinions, and feedback from all employees.

FLEXIBILITY

• Hybrid Set-Up: We are combining both remote work and in-person work. The hybrid setup will allow you to reduce commuting time and have a more flexible work schedule. This will help you to manage better your work-life balance.

Events

• We provide many opportunities to connect and build relationships. We are learning, growing, and celebrating achievements together. You will experience a wide range of different exciting activities. What to expect? Leisure Events, Summer Events, Family Events, Social Events, and Year-End Events.

What are our wishes?

• Graduate of Bachelor of Science in Information Technology, Engineering, Data Science, or other related fields.
• At least five (5) years of experience in a senior analytics engineering or developer role.
• At least five (5) years of experience in architecture, design, and development of integrated systems.
• Strong analytical and problem-solving skills.
• Strong understanding of dimensional modelling techniques
• Familiarity with software development lifecycle and project management methodologies.
• Proven experience with relational databases like Oracle, SQL Server, etc.
• Proven experience developing data pipelines using Python, PySpark and SQL.
• Extensive experience with Microsoft 365 applications.
• Familiarity with cloud platforms such as Azure or AWS.
• Experience in Agile methodologies (e.g., Scrum or Kanban).
• Proficiency in Power BI; experience with Tableau and other visualization platform is a plus.
• Experience with Azure DevOps is preferred.
• Experience with Azure Cloud Services and CI/CD pipelines is an advantage.
• Certifications in Secure Coding, Scrum, or DevOps are a plus.
• Experience working in teams of five or more members.
• Ability to work with senior executives from diverse cultures.
• Excellent oral and written communication skills in English.

*How can you contribute to the team?
About The Role *

• The Senior Analytics Engineer will be responsible for designing, developing, and maintaining end-to-end data solutions. This includes building robust data pipelines that extract from source systems into the data warehouse, transforming raw data into well-modeled datasets readily available for business intelligence, and creating interactive and user-friendly data visualizations using Power BI. The role requires close collaboration with cross-functional teams to empower business stakeholders to derive actionable insights and make data-driven decisions across the organization.

Scope Of Work/Responsibilities

• Design and develop scalable data pipelines that extract data from various source systems and transform data inside the data warehouse.
• Transform data into data models that adhere to dimensional modelling techniques i.e. Kimball.
• Create visually compelling and informative dashboards and reports using Power BI.
• Collaborate with data analysts and stakeholders to understand data requirements and deliver meaningful insights.
• Ensure data accuracy and integrity through validation and quality checks
• Design interactive, user-friendly visualizations tailored to different stakeholder needs
• Participate in Agile development processes including Scrum and Kanban events.
• Prepare high-level and detailed technical designs for data solutions.
• Apply best practices in coding, testing, and deployment including CI/CD pipelines.
• Stay updated with the latest trends in data engineering and visualization and suggest process improvements.
• Perform other relevant tasks as assigned.

Work Arrangement

• Manila-based resource
• Reporting to client HQ (Onsite work) in Ortigas at least 3x a week (with 500 pesos transportation allowance per onsite to the client's office)
• If the user unit requires contractors to report to HQ for more than 3 times, compliance is mandatory.
• Schedule: 8AM - 5PM (Manila time)

We deliberately focus on what we know best.

• 18 Locations in 8 Countries
• 800+ Employees across the Globe
• ISO Certified

Work Location: Ortigas

Schedule: Day Shift

Work Set-up: Hybrid – 3x a week onsite (and as needed by the management)

• Design and develop scalable data pipelines that extract data from various source systems and transform data inside the data warehouse.

• Transform data into data models that adhere to dimensional modelling techniques

• Create visually compelling and informative dashboards and reports using Power BI.

• Collaborate with data analysts and stakeholders to understand data requirements and deliver meaningful insights.

• Ensure data accuracy and integrity through validation and quality checks.

• Design interactive, user-friendly visualizations tailored to different stakeholder needs.

• Participate in Agile development processes including Scrum and Kanban events.

• Prepare high-level and detailed technical designs for data solutions.

• Apply best practices in coding, testing, and deployment including CI/CD pipelines.

• Stay updated with the latest trends in data engineering and visualization and suggest process improvements.

• Perform other relevant tasks as assigned

• Experienced in architecture, design, and development of integrated systems.

• Familiarity with software development lifecycle and project management methodologies.

• Proven experience with relational databases like Oracle, SQL Server, etc.

• Proven experience developing data pipelines using Python, PySpark and SQL.

• Excellent oral and written communication skills in English.

Position Summary

The Data Warehousing DBA is responsible for ensuring the performance, availability, and security of cloud-based data warehouse systems. This includes proactive monitoring, performance tuning, capacity planning, disaster recovery, and automation of database operations. The ideal candidate will have hands-on experience with Google BigQuery, Azure Synapse, and related technologies, and will collaborate closely with cross-functional teams to support enterprise data initiatives.

Key Responsibilities

Database Operations & Maintenance

• Ensure database security, integrity, and high availability.
• Monitor and optimize database performance and capacity.
• Implement and maintain database maintenance plans and automation scripts.
• Perform SQL query tuning and optimization.
• Conduct root cause analysis and resolve database-related issues.

Cloud Data Warehousing Support

• Manage and support cloud-based data warehouse platforms (Google BigQuery, Azure Synapse).
• Collaborate with cloud vendors to plan and execute database migrations/upgrades.
• Stay current with platform features and best practices.

Collaboration & Documentation

• Work closely with Product Owners, Data Architects, DevOps Engineers, and Data Engineers.
• Maintain detailed documentation of database configurations, procedures, and troubleshooting steps.
• Participate in CI/CD pipeline development using Terraform and scripting tools.

Shift Coverage & Incident Response

• Provide overnight support for job monitoring, reruns, and system patching.
• Perform first-level troubleshooting and identify optimization opportunities during downtime.
• Participate in 24/7 on-call support rotation.

Technology Stack

• Cloud Platforms: Google BigQuery, Azure Synapse, Azure Databricks (limited), Google Spanner (future use)
• DevOps Tools: Azure DevOps, GitHub Actions, Terraform
• ETL Tools: Informatica Intelligent Cloud Services (IICS)

Required Qualifications

• 5+ years of experience in Data Warehousing, with at least 2 years on multiple platforms.
• 2+ years of hands-on experience with Google BigQuery and/or Azure Synapse.
• Strong understanding of Dimensional Modeling.
• Experience with CI/CD pipelines and Infrastructure as Code (IaC).
• Familiarity with networking principles and cloud architecture.
• Willingness to work overnight shifts and participate in on-call rotation.

Preferred Qualifications

• Certifications: Professional Cloud Database Engineer (Google), CDMP Associate
• Experience with data privacy, compliance, and risk management at an architectural level.
• Knowledge of Azure Databricks and Google Spanner.
• Experience with Terraform and scripting for infrastructure automation.

Work Arrangements:

Work Set-up: Hybrid/Wfh

Work Schedule: Midshift/Nighshift

Work Location: Open to Manila and Cebu based PH candidates