Senior Analytics Engineer

Job Title: Senior Analytics Engineer

Work Location: Mandaluyong

Shift: Day shift (8 am – 5 pm)

Work Set-up: Hybrid (3x reporting on site per week)

Salary range: 95,000

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 visualisations 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 organisation

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 visualisations 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 visualisation, 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 visualisation platforms 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

Should be amenable to working on a hybrid set-up in Mandaluyong

• Must not be a job hopper who only works for less than a year per company

Reporting and Coordination

• The Senior Analytics Engineer will report to the Project Manager and/or designated staff. The Analytics Engineer will work closely with business stakeholders, data analysts, and other teams within the organisation.

• High-Level and Detailed Technical Designs

• Unit Tested and Secure Code

• Interactive and Insightful Dashboards

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