Senior Analytics Engineer

Gratitude Inc

794 Views

2 months ago

Senior Analytics Engineer

5-6 Year(s)

90 - 95 Thousand p.m

Manila

Job Description

Key Skills

Project Management Certifications Bachelor's degree in IT/ Engineering/ Data Science Senior Analytics Engineering/ Developer Architecture, design and development Software Development lifecycle

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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

Role

MIS Analyst

Timings

Day Shift (Contract To Hire)

Industry

BPO

Work Mode

Hybrid

Process

Voice

Functional Area

ITES / BPO / Customer Service

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