Job Title: Senior Analytics Engineer 

Work Location: ADB Office Mandaluyong

Shift: Day shift (8am – 5pm)

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 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. 

 

I. Requirement and Qualification (Education & Work Experience) 

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. 

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 organization. 

• High-Level and Detailed Technical Designs 

• Unit Tested and Secure Code 

• Interactive and Insightful Dashboards 

• Should be amenable to working on a hybrid setup in Mandaluyong

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

• Not a current or former employee of the client