Lead the design, development, testing, and deployment of local and enterprise-level data models for analytics solutions.
Build and maintain ETL pipelines across multiple data sources and application ecosystems.
Optimize data models and query performance for efficiency, scalability, and maintainability.
Develop and monitor data quality dashboards, ensuring data accuracy and integrity.
Design, develop, test, and deploy interactive dashboards, reports, metrics, apps, and workspace objects using Power BI.
Build advanced analytics products such as forecasting models, prescriptive analytics, and sentiment analysis solutions.
Create and maintain data catalogs and monitoring frameworks for analytics assets.
Design and implement secure data access models, including dynamic Row-Level Security (RLS).
Develop protocols for seamless 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 translate them into scalable analytics solutions.
Apply UI/UX best practices and analytics design principles in product development.
Facilitate demos, user acceptance testing (UAT), training sessions, and post-deployment hypercare support.
Participate in Agile delivery practices and contribute to continuous improvement initiatives.

Bachelor’s degree in Computer Science, Information Technology, Information Systems, Mathematics, Statistics, or a related field.
Minimum 10 years of professional experience in analytics, with a strong focus on data engineering and data visualization.
At least 5 years of hands-on experience with Microsoft Power BI.
Minimum 3 years of experience working in Agile delivery environments.
Strong proficiency in SQL, DAX, and Power Query (M Language).
Solid experience in designing and optimizing ETL pipelines and data models.
Experience with Azure DevOps (ADO) or similar project delivery tools.
Strong understanding of data quality management and analytics governance.
Exposure to AI-powered analytics components is an advantage.
Knowledge of data warehouse methodologies and data lake architectures is a plus.
Experience working with Geographic Information Systems (GIS) or open-source GIS platforms is an advantage.
Excellent communication and stakeholder management skills.
Strong analytical thinking and problem-solving capabilities.
Ability to work independently and in cross-functional teams.
High level of accountability and strong work ethic.
Microsoft Certified: Azure Enterprise Data Analyst Associate (preferred).
Microsoft Certified: Power BI Data Analyst Associate (preferred).

International Exposure: Work with global clients on cutting-edge projects.
Inclusive Culture: Thrive in a collaborative and diverse work environment.
Career Development: Enjoy continuous learning and professional growth opportunities.
Growth and Opportunities: Engage in complex software projects across MedTech, Industry, Finance, and Transportation.
Supportive Environment: Benefit from a team dedicated to guiding and supporting your success.
Recognition and Advancement: Receive acknowledgment for your efforts and opportunities for promotion.
Open Communication: Experience transparency and value your input in our culture.

Senior Analytics Developer – Data Build and Visualization

Key skills