5 Jobs für Sap Sac in Schweiz
Cloud Solution Architect - Data & Analytics
Microsoft Corporation
Vor 7 Tagen gepostet
Job angesehen
Arbeitsbeschreibung
With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft's products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers' expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft's portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world.
We are looking for a **Cloud Solution Architect** (CSA), specializing in **Data and Analytics** & AI, who is passionate about driving our customers' transformation on Microsoft Azure. This is a customer-facing role, owning the technical relationship between the customer and Microsoft, helping customers to leverage their Microsoft investments through architecture, and operational health engagements. This role is flexible in that you can work up to 25% from home.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ You will understand customers' overall data estate Business and IT priorities and success measures to design Data & Analytics solutions that drive business value and drive positive Customer Satisfaction & become a trusted advisor.
+ You will ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment and provide feedback and insights from customers/partners.
+ You will develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments and identify resolutions to Customer blockers by leveraging SA subject matter expertise. Deliver according to MS best practices & using repeatable Intellectual Property (IP).
+ You will apply technical knowledge to architect and design solutions that meet business and IT needs, create Data & Analytics roadmaps, drive Proof of Concepts (POC) and Minimal Viable Product (MVP), and ensure long term technical viability of new deployments, infusing key AI technologies where
+ You will be the Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers and drive product improvements.
+ You will maintain technical skills and knowledge, keep up to date with market trends and competitive insights; collaborate and share with the AI technical community while educating customers on Azure platform.
+ You will accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes and obtain relevant accreditations and certifications.
**Qualifications**
+ Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
+ OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting
+ OR equivalent experience
+ 4+ years experience working in a customer-facing role (e.g., internal and/or external).
+ 4+ years experience working on technical projects
+ Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
+ Candidates must possess demonstrated experience working with **SQL databases** -including both Azure-based and on-premises environments-as well as solid proficiency in **ARC SQL, Microsoft Purview, and Fabric.**
+ Proficiency in **English** is mandatory, with additional competency in **French and/or German preferred** .
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
We are looking for a **Cloud Solution Architect** (CSA), specializing in **Data and Analytics** & AI, who is passionate about driving our customers' transformation on Microsoft Azure. This is a customer-facing role, owning the technical relationship between the customer and Microsoft, helping customers to leverage their Microsoft investments through architecture, and operational health engagements. This role is flexible in that you can work up to 25% from home.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ You will understand customers' overall data estate Business and IT priorities and success measures to design Data & Analytics solutions that drive business value and drive positive Customer Satisfaction & become a trusted advisor.
+ You will ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment and provide feedback and insights from customers/partners.
+ You will develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments and identify resolutions to Customer blockers by leveraging SA subject matter expertise. Deliver according to MS best practices & using repeatable Intellectual Property (IP).
+ You will apply technical knowledge to architect and design solutions that meet business and IT needs, create Data & Analytics roadmaps, drive Proof of Concepts (POC) and Minimal Viable Product (MVP), and ensure long term technical viability of new deployments, infusing key AI technologies where
+ You will be the Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers and drive product improvements.
+ You will maintain technical skills and knowledge, keep up to date with market trends and competitive insights; collaborate and share with the AI technical community while educating customers on Azure platform.
+ You will accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes and obtain relevant accreditations and certifications.
**Qualifications**
+ Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
+ OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting
+ OR equivalent experience
+ 4+ years experience working in a customer-facing role (e.g., internal and/or external).
+ 4+ years experience working on technical projects
+ Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
+ Candidates must possess demonstrated experience working with **SQL databases** -including both Azure-based and on-premises environments-as well as solid proficiency in **ARC SQL, Microsoft Purview, and Fabric.**
+ Proficiency in **English** is mandatory, with additional competency in **French and/or German preferred** .
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Leider ist dieser Job in Ihrer Region nicht verfügbar
0
Data Scientist, Product Analytics
Zürich, Zürich
Meta
Vor 5 Tagen gepostet
Job angesehen
Arbeitsbeschreibung
**Summary:**
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
3. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
4. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
7. 2+ years experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
8. 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution (including defining metrics, experiment, design, communicating actionable insights)
**Preferred Qualifications:**
Preferred Qualifications:
9. Master's or Ph.D. Degree in a quantitative field
**Industry:** Internet
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
3. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
4. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
7. 2+ years experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
8. 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution (including defining metrics, experiment, design, communicating actionable insights)
**Preferred Qualifications:**
Preferred Qualifications:
9. Master's or Ph.D. Degree in a quantitative field
**Industry:** Internet
Leider ist dieser Job in Ihrer Region nicht verfügbar
1
Data Scientist, Product Analytics
Zürich, Zürich
Meta
Vor 5 Tagen gepostet
Job angesehen
Arbeitsbeschreibung
**Summary:**
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
7. 6+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
8. 6+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution (including defining metrics, experiment, design, communicating actionable insights)
**Preferred Qualifications:**
Preferred Qualifications:
9. Master's or Ph.D. Degree in a quantitative field
**Industry:** Internet
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
7. 6+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
8. 6+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution (including defining metrics, experiment, design, communicating actionable insights)
**Preferred Qualifications:**
Preferred Qualifications:
9. Master's or Ph.D. Degree in a quantitative field
**Industry:** Internet
Leider ist dieser Job in Ihrer Region nicht verfügbar
2
Intérim Management Pole Business Intelligence - 6 mois
39434
CHF90000 - CHF120000 Quarterly
Heute
Job angesehen
Arbeitsbeschreibung
- Assurer le management opérationnel d'une équipe de 4 personnes
- Structurer les missions, redéfinir les rôles et optimiser l'efficience du pôle BI
- Identifier les besoins métiers, accompagner la montée en compétences et piloter la performance
- Superviser la production de données (KPI, forecast, analyses financières, études qualité)
- Garantir la qualité des livrables et la pertinence des analyses pour les BU commerciales et marketing
- Coordonner les projets avec les parties prenantes internes et les prestataires externes
- Être force de proposition dans la transformation du pôle et dans l'optimisation des outils et processus
- Expérience confirmée en management d'équipe dans un environnement en transformation
- Capacité à structurer, prioriser et piloter des projets complexes
- Aisance dans la gestion de parties prenantes et dans la conduite du changement
- Français courant (C1/C2 obligatoire)
- Leadership naturel, posture assertive, capacité à gérer les tensions et à faire avancer les sujets avec diplomatie et clarté
- Esprit analytique, rigueur, sens du résultat et orientation solution
- Prise de poste dès que possible,
- Environnement stimulant, en pleine transformation, avec des enjeux stratégiques forts
- Localisation : Genève
- Télétravail possible après le premier mois
- Accompagnement par Michael Page tout au long du processus
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3
(Senior) Consultant SAP Analytics (f/m/d), 80-100%
Zürich, Zürich
Gi Group SA
Vor 26 Tagen gepostet
Job angesehen
Arbeitsbeschreibung
For our client, a company in the IT industry based in Zurich, we are looking for a (Senior) Consultant SAP Analytics for a permanent role.
Place of work: Baar, Zurich
Your responsibilities:
- Accompanying the entire project cycle from conception to go-live for our customers
- Customer consulting, conception and implementation of SAP Analytics projects
- Preparation and implementation of workshops and presentations
- Participation in presales activities and offer presentations
- Project work is customer-dependent and therefore often takes place on-site at our customers' premises (all of German-speaking Switzerland)
Your qualifications:
- Completed university studies
- Extensive professional experience in the consulting environment
- Several years of project experience and excellent knowledge in the area of SAP Analytics (SAP BW, SAP BusinessObjects, SAP Analytics Cloud, Datasphere, etc.)
- Experience in data acquisition, data modeling and connecting various source systems
- Programming skills in ABAP, SQL, R and/or Python
- Strong customer focus
- Interest in new technologies
- Experience in project management or sub-project management is an advantage
- Knowledge in the area of planning (BPC, BW-IP, SAC planning) is an advantage
- Excellent written and spoken German skills
- Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens as well as current work-permit holders for Switzerland
Your application
Please apply online. For further information about the position, please contact your Gi Group recruiter, Mrs. Anh Nguyen ( ).
About Gi Group
Gi Group is part of Gi Group Holding, a global ecosystem of HR services and consulting that supports the development of the labour market and helps to change people's lives in 37 countries around the world.
In Switzerland we operate with the brands Gi Group, Grafton, BauTech, Gi Life Sciences and former Kelly Services. We are active in temporary, permanent and professional staffing as well as in a variety of complementary HR Services. With a direct presence in 35 locations across Switzerland and over 250 employees, we are one of the leading staffing companies in the Swiss recruitment market.
Gi Group is specialist for Temporary and Permanent staffing and your valuable partner for many other HR Solutions. We are changing lives by connecting candidates with companies, and we work every day to create value. Your Job, Our Work.
Branche: EDV
Funktion: Technologie/EDV
Anstellungsart: Festanstellung
Karrierestufe: Angestellte/r
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