Senior Analytics Developer – Data Build and Visualization

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ERNI

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Swiss Software Engineering. We boost people and businesses in the innovation of software-based products and services.

📋 Description

• 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.

🎯 Requirements

• 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).

🏖️ Benefits

• 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.