2616-0426/2617-0426: Analytics Engineer

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 data from source systems into a data warehouse, transforming raw data into well-modeled datasets for business intelligence, and creating interactive, user-friendly visualizations using Power BI.

The role requires close collaboration with cross-functional teams to enable stakeholders to derive actionable insights and make data-driven decisions.

Scope of Work and Responsibilities

• Design and develop scalable data pipelines to extract and transform data from various source systems into the data warehouse.
• Transform data into structured models following dimensional modeling techniques (e.g., Kimball).
• Create visually compelling dashboards and reports using Power BI.
• Collaborate with data analysts and stakeholders to understand requirements and deliver meaningful insights.
• Ensure data accuracy and integrity through validation and quality checks.
• Design intuitive and user-friendly visualizations tailored to stakeholder needs.
• Participate in Agile development processes (Scrum, Kanban).
• 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 trends in data engineering and visualization; recommend improvements.
• Perform other relevant tasks as assigned.

Qualifications and Requirements

Educational Requirements

• Bachelor's degree in Information Technology, Engineering, Data Science, or a related field.

Experience and Skills

• At least 5 years of experience in a senior analytics engineering or development role.
• At least 5 years of experience in system architecture, design, and development of integrated solutions.
• Strong analytical and problem-solving skills.
• Strong understanding of dimensional modeling techniques.
• Familiarity with software development lifecycle and project management methodologies.
• Proven experience with relational databases (e.g., Oracle, SQL Server).
• Proven experience building data pipelines using Python, PySpark, and SQL.
• Experience with Microsoft 365 tools.
• Familiarity with cloud platforms such as Azure or AWS.
• Experience working in Agile environments (Scrum or Kanban).
• Proficiency in Power BI; experience with Tableau or similar tools is a plus.

Preferred Qualifications

• Experience building and maintaining ML or AI pipelines.
• Exposure to Generative AI/LLM workflows, including chatbot integration and model orchestration.
• Experience supporting ML solutions (e.g., predictive analytics, forecasting).
• Experience with Azure DevOps.
• Experience with cloud services and CI/CD pipelines.
• Certifications in Secure Coding, Scrum, or DevOps are a plus.
• Experience working in teams of five or more members.
• Ability to work with senior stakeholders from diverse backgrounds.
• Excellent oral and written communication skills in English.

Reporting and Deliverables

• Reports to the Project Manager or designated supervisor.
• Collaborates with business stakeholders, data analysts, and cross-functional teams.

Key Deliverables:

• High-level and detailed technical designs
• Secure, unit-tested code
• Interactive and insightful dashboards

Work Arrangement

• Hybrid setup, with onsite reporting at least three times per week (or as required).
• Standard working hours: 8:00 AM – 5:00 PM (local time)