Expert tech Solutions
Nestlé S.A.
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Descripción de la vacante
Nestlé S.A. seeks an Expert Tech Solutions professional to optimize analytics platforms in the U.S. market, ensuring reliability, security, and alignment with business needs.
You will partner with business users, analytics teams, data engineering, and platform teams to translate priorities into scalable platform capabilities, drive best practices, and accelerate delivery of high-value analytics use cases.
Formación
- Bachelor's degree in Computer Science or related field; equivalent experience considered.
- 4+ years in analytics platform engineering, BI engineering, or data platform operations.
- Hands-on experience with Power BI, Power Automate, Databricks, and Azure.
- Strong English communication and stakeholder management skills.
Responsabilidades
- Support adoption and continuous improvement of analytics platforms.
- Monitor and improve platform reliability, performance, and security.
- Translate business needs into scalable platform capabilities with global standards.
- Develop runbooks, training materials, and documentation to improve self-service analytics.
Conocimientos
Educación
Herramientas
Descripción del empleo
The Expert Tech Solutions will support the effective use of analytics platforms such as Power BI, Power Automate, and Databricks within the U.S. market, ensuring these platforms are reliable, performant, secure, and aligned to business needs.
This role provides advanced platform solutions tailored to NUSA business needs while aligning with global standards, enterprise architecture direction, and platform governance expectations. The role acts as a primary liaison between business users, analytics teams, and platform teams, helping translate business priorities into scalable platform capabilities, driving best practices, resolving complex platform and performance issues, and accelerating delivery of high-value analytics use cases.
As a Expert Tech Solutions you will:
- Support the adoption, effective use, and continuous improvement of analytics platforms such as Power BI, Power Automate, Databricks, and related analytics enablement capabilities.
- Monitor, troubleshoot, and improve platform reliability, performance, scalability, usability, and operational health across analytics solutions, reports, workspaces, jobs, notebooks, pipelines, and integrations.
- Provide advanced market-specific platform solutions aligned with business needs, global standards, enterprise architecture direction, security expectations, and platform governance requirements.
- Act as a liaison between business users, analytics teams, data engineering, and platform teams to translate business needs into actionable platform support and optimization activities.
- Drive best practices for analytics platform usage, including workspace organization, semantic model performance, report optimization, access management, monitoring, and cost-conscious usage.
- Resolve complex platform, reporting, data access, performance, and integration issues through root-cause analysis, remediation, and continuous improvement actions.
- Support secure and governed analytics delivery by applying standards for access controls, data protection, auditability, data quality, lineage, documentation, and operational controls.
- Contribute to documentation, runbooks, knowledge articles, training materials, and standard operating procedures to improve self-service adoption and reduce operational friction.
We offer more than just a job. We put people first and inspire you to become the best version of yourself.
- Great benefits including salary and a comprehensive social benefits package. We have one of the best pension plans on the market, as well as flexible remuneration with tax advantages: health insurance, restaurant card, mobility plan, etc.
- Personal and professional growth through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.
- Hybrid working environment with flexible working scheme.
- Recreation activities such as yoga, Zumba, etc. and a wide range of volunteering activities.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, Data Management, or a related field; equivalent experience will be considered.
- 4+ years of experience in analytics platform engineering, BI engineering, data engineering, data platform operations, platform support, or related technology roles.
- Hands‑on experience supporting analytics platforms such as Power BI, Power Automate, Databricks, Microsoft Azure, SQL‑based platforms, cloud data services, or related BI and data engineering environments.
- Strong understanding of BI and analytics delivery patterns, including semantic models, dashboards, reporting performance, workspace management, data refreshes, access controls, and governed self‑service analytics.
- Experience supporting Databricks or similar cloud data platforms, including jobs, notebooks, compute resources, platform configurations, monitoring, troubleshooting, and performance optimization.
- Understanding of data pipelines, ETL/ELT frameworks, ingestion, transformation, orchestration, data quality, and structured, semi‑structured, and unstructured data sources.
- Ability to translate business needs into technical solutions, explain complex platform concepts clearly, and collaborate effectively with business users, analytics practitioners, data engineers, platform teams, and global IT stakeholders.
- Strong communication, problem‑solving, documentation, and stakeholder management skills, with fluency in English.
- Experience with Power BI administration, Power BI Premium/Fabric capacity concepts, DAX, data modeling, semantic model optimization, report performance tuning, and governed self‑service BI practices.
- Experience with Databricks capabilities such as Delta Lake, Unity Catalog, Databricks SQL, notebooks, jobs, workflow orchestration, workspace governance, cluster policies, and cost/performance optimization.
- Familiarity with CI/CD, Git‑based development, Infrastructure-as-Code, automation, monitoring, alerting, runbooks, root‑cause analysis, and incident management practices.
- Exposure to AI/ML enablement, AI‑ready data foundations, feature engineering, vector search, or analytics patterns that support advanced analytics and GenAI use cases.
- Certifications such as Microsoft Power BI Data Analyst, Microsoft Fabric Analytics Engineer, Azure Data Engineer, Databricks Data Engineer, or related analytics platform credentials are a plus.
The Expert Tech Solutions will support the effective use of analytics platforms such as Power BI, Power Automate, and Databricks within the U.S. market, ensuring these platforms are reliable, performant, secure, and aligned to business needs.
This role provides advanced platform solutions tailored to NUSA business needs while aligning with global standards, enterprise architecture direction, and platform governance expectations. The role acts as a primary liaison between business users, analytics teams, and platform teams, helping translate business priorities into scalable platform capabilities, driving best practices, resolving complex platform and performance issues, and accelerating delivery of high‑value analytics use cases.
As a Expert Tech Solutions you will:
- Support the adoption, effective use, and continuous improvement of analytics platforms such as Power BI, Power Automate, Databricks, and related analytics enablement capabilities.
- Monitor, troubleshoot, and improve platform reliability, performance, scalability, usability, and operational health across analytics solutions, reports, workspaces, jobs, notebooks, pipelines, and integrations.
- Provide advanced market-specific platform solutions aligned with business needs, global standards, enterprise architecture direction, security expectations, and platform governance requirements.
- Act as a liaison between business users, analytics teams, data engineering, and platform teams to translate business needs into actionable platform support and optimization activities.
- Drive best practices for analytics platform usage, including workspace organization, semantic model performance, report optimization, access management, monitoring, and cost-conscious usage.
- Resolve complex platform, reporting, data access, performance, and integration issues through root‑cause analysis, remediation, and continuous improvement actions.
- Support secure and governed analytics delivery by applying standards for access controls, data protection, auditability, data quality, lineage, documentation, and operational controls.
- Contribute to documentation, runbooks, knowledge articles, training materials, and standard operating procedures to improve self‑service adoption and reduce operational friction.
We offer more than just a job. We put people first and inspire you to become the best version of yourself.
- Great benefits including salary and a comprehensive social benefits package. We have one of the best pension plans on the market, as well as flexible remuneration with tax advantages: health insurance, restaurant card, mobility plan, etc.
- Personal and professional growth through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.
- Hybrid working environment with flexible working scheme.
- Recreation activities such as yoga, Zumba, etc. and a wide range of volunteering activities.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, Data Management, or a related field; equivalent experience will be considered.
- 4+ years of experience in analytics platform engineering, BI engineering, data engineering, data platform operations, platform support, or related technology roles.
- Hands‑on experience supporting analytics platforms such as Power BI, Power Automate, Databricks, Microsoft Azure, SQL‑based platforms, cloud data services, or related BI and data engineering environments.
- Strong understanding of BI and analytics delivery patterns, including semantic models, dashboards, reporting performance, workspace management, data refreshes, access controls, and governed self‑service analytics.
- Experience supporting Databricks or similar cloud data platforms, including jobs, notebooks, compute resources, platform configurations, monitoring, troubleshooting, and performance optimization.
- Understanding of data pipelines, ETL/ELT frameworks, ingestion, transformation, orchestration, data quality, and structured, semi‑structured, and unstructured data sources.
- Ability to translate business needs into technical solutions, explain complex platform concepts clearly, and collaborate effectively with business users, analytics practitioners, data engineers, platform teams, and global IT stakeholders.
- Strong communication, problem‑solving, documentation, and stakeholder management skills, with fluency in English.
- Experience with Power BI administration, Power BI Premium/Fabric capacity concepts, DAX, data modeling, semantic model optimization, report performance tuning, and governed self‑service BI practices.
- Experience with Databricks capabilities such as Delta Lake, Unity Catalog, Databricks SQL, notebooks, jobs, workflow orchestration, workspace governance, cluster policies, and cost/performance optimization.
- Familiarity with CI/CD, Git‑based development, Infrastructure-as-Code, automation, monitoring, alerting, runbooks, root‑cause analysis, and incident management practices.
- Exposure to AI/ML enablement, AI‑ready data foundations, feature engineering, vector search, or analytics patterns that support advanced analytics and GenAI use cases.
- Certifications such as Microsoft Power BI Data Analyst, Microsoft Fabric Analytics Engineer, Azure Data Engineer, Databricks Data Engineer, or related analytics platform credentials are a plus.
We are Nestlé, the largest food and beverage company with brands including KitKat, Nescafé, Maggi, Purina, among many others. We are approximately 275,000 employees strong, motivated by the purpose of enhancing the quality of life and contributing to a healthier future. Our values are rooted in respect: respect for ourselves, respect for others, respect for diversity and respect for our future. With more than CHF 94.4billion sales in 2022, we have an expansive presence, with 344factories in 77countries. Want to learn more? Visit us atwww.nestle.com .
We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.
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