Lead the enterprise analytics organization, delivering trusted business intelligence, operational reporting, executive dashboards, and advanced analytical solutions.
Compensation
The compensation range for this position is: $180,000.00 - $200,000.00 per year.
Responsibilities
Lead and develop teams of Analytics Engineers, Data Analysts, and Business Intelligence developers
Define and execute the enterprise analytics strategy
Partner with business leaders to identify reporting and analytics priorities
Deliver executive dashboards, operational scorecards, and self-service analytics solutions
Establish enterprise reporting standards, KPIs, and business metrics
Requirements
Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, or related field.
Concevoir et mettre en œuvre des architectures de données modernes (Data Platform, Data Lake, Data Warehouse, Lakehouse) pour des clients de secteurs variés.
Responsibilities
Concevoir et mettre en œuvre des architectures de données modernes (Data Platform, Data Lake, Data Warehouse, Lakehouse)
Définir les modèles de données, les flux d’intégration et les standards d’architecture permettant de répondre aux besoins métiers et analytiques
Accompagner les clients dans leurs programmes de modernisation et de migration vers le Cloud
Participer à la définition des stratégies Data et des feuilles de route de transformation
Garantir la performance, la scalabilité, la sécurité et la qualité des plateformes de données
Senior Software Engineer on the Data Engineering team, responsible for designing, developing, and maintaining data pipelines and the Enterprise Data Warehouse using Databricks, PySpark, and SQL.
Responsibilities
Design and develop data processing and storage workflows
Collaborate with other engineers to integrate datasets
Build and enhance the Enterprise Data Warehouse using Kimball Methodologies and medallion architecture
Provide production support with occasional after-hours availability
Partner with stakeholders on strategic projects leveraging the Data Lake
Requirements
Bachelor’s degree, preferably in Computer Science or equivalent professional experience
Contribute to technical development activities to help achieve the product vision and enable enterprise capabilities.
Compensation
competitive compensation, robust benefits, professional development and certification opportunities
Responsibilities
Employ software development techniques and methodologies for tough analytical challenges
Use software development skills to automate manual analytical processes
Expand upon specializations to include front end user interfaces, back end microservices, web services, cloud architectures, databases and other persistent data stores
Deploy developed IT solutions, user applications, databases, and other IT capabilities
Design and develop specialized user solutions, applications and databases using a hybrid Agile approach within a DevOps environment
Design, develop and maintain data solutions for data generation, collection, and processing within the Swisscom ecosystem.
Responsibilities
Integrate and unify various Database systems into the Swisscom ecosystem by implementing & maintaining scalable ETL pipelines to process large volumes of data.
Ensuring data governance and security policies.
Work in cross-functional teams (data scientists, analysts, and business partners) to provide them with solutions and communicate to non-technical stakeholders.
Develop and optimize data architectures and data transformation technologies to support analytical needs.
Manage and optimize databases for performance, scalability, and availability.
Lead the design and architecture of enterprise‑grade data analytics solutions on AWS, guiding cross‑functional teams and ensuring governance and best practices.
Responsibilities
Design and architect scalable cloud infrastructure using AWS
Lead project teams and set technical direction for large‑scale data initiatives
Serve as liaison to overseas HIH resources
Advocate for data governance, security and performance best practices
Communicate complex technical concepts to diverse audiences
Requirements
Bachelor’s degree in Computer Science, Information Systems, Artificial Intelligence, or a related field
Nice to have: AWS certification
Nice to have: Data governance and security practices in cloud
Nice to have: Architecture design and deployment
Nice to have: Authentication, monitoring and logging
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