Senior Analytics Developer – Data Build and Visualization

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Oversee the design, development, testing, and deployment of both local and enterprise-level data models aimed at analytics solutions.

• Construct and maintain ETL pipelines that integrate multiple data sources and application ecosystems.

• Enhance data models and optimize query performance for improved efficiency, scalability, and maintainability.

• Create and track data quality dashboards to ensure the accuracy and integrity of data.

• Design, develop, test, and deploy interactive dashboards, reports, metrics, applications, and workspace objects utilizing Power BI.

• Develop advanced analytics products such as forecasting models, prescriptive analytics, and sentiment analysis solutions.

• Establish and maintain data catalogs and monitoring frameworks for analytics assets.

• Design and implement secure data access models, including dynamic Row-Level Security (RLS).

• Create protocols for efficient user access management and BI governance.

• Collaborate on data-sharing policies, standards, and integration strategies.

• Work closely with Solution Architects, Product Owners, and stakeholders to gather requirements and convert them into scalable analytics solutions.

• Apply UI/UX best practices and analytics design principles during product development.

• Conduct demos, user acceptance testing (UAT), training sessions, and provide post-deployment hypercare support.

• Engage in Agile delivery practices and contribute to initiatives aimed at continuous improvement.

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Information Technology, Information Systems, Mathematics, Statistics, or a related discipline.

• At least 10 years of professional experience in analytics, with a strong emphasis on data engineering and data visualization.

• A minimum of 5 years of hands-on experience with Microsoft Power BI.

• At least 3 years of experience in Agile delivery environments.

• Proficient in SQL, DAX, and Power Query (M Language).

• Solid expertise in designing and optimizing ETL pipelines and data models.

• Familiarity with Azure DevOps (ADO) or similar project delivery tools.

• Strong understanding of data quality management and analytics governance.

• Experience with AI-powered analytics components is a plus.

• Knowledge of data warehouse methodologies and data lake architectures is advantageous.

• Experience with Geographic Information Systems (GIS) or open-source GIS platforms is a benefit.

• Excellent communication and stakeholder management skills.

• Strong analytical thinking and problem-solving abilities.

• Capacity to work independently as well as within cross-functional teams.

• High accountability and a strong work ethic.

• Microsoft Certified: Azure Enterprise Data Analyst Associate (preferred).

• Microsoft Certified: Power BI Data Analyst Associate (preferred).

🏝️ Benefits

• International Exposure: Collaborate with global clients on innovative projects.

• Inclusive Culture: Flourish in a collaborative and diverse work environment.

• Career Development: Benefit from ongoing learning and professional growth opportunities.

• Growth and Opportunities: Participate in challenging software projects across MedTech, Industry, Finance, and Transportation.

• Supportive Environment: Receive guidance and support from a dedicated team committed to your success.

• Recognition and Advancement: Gain acknowledgment for your contributions and opportunities for promotion.

• Open Communication: Experience transparency and value your input within our culture.