We are looking for a Senior Consultant in SAP Data Analytics to join our team. As a Senior Consultant, you will be responsible for designing and implementing end-to-end data flows within the SAP Analytics landscape (including data extraction, integration, and modeling with BW/4HANA, SAP HANA, and Datasphere).

Your tasks will include:

Design and implementation of end-to-end data flows within the SAP Analytics landscape (including data extraction, integration, and modeling with BW/4HANA, SAP HANA, and Datasphere)

Conception and implementation of data-driven SAP Analytics solutions and reporting processes in close collaboration with departments

Development and design of dashboards and reports in SAP Analytics Cloud (SAC) based on customer requirements

Application of modern visualization and design standards and integration of SAP backend data sources in SAC

Conducting workshops for requirement intake and supporting in business development, project management, and pre-sales

To be successful in this role, you will need to have:

A bachelor's degree and approximately 3 years of experience in (in-house) consulting with a focus on SAP Business Intelligence or SAP Analytics

A passion for business processes and data modeling

Expertise in SAP Datasphere, SAP BW/4HANA, SAP Business Data Cloud (BDC), SAP Analytics Cloud (SAC), and/or SAP HANA native, as well as programming languages ABAP or SQL

An analytical and structured working style, critical thinking, and strong communication skills

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are a motivated and experienced professional looking for a new challenge, please submit your application.

XML job scraping automation by YubHub

Developing and implementing innovative planning tools Business Intelligence with SAP Analytics Cloud: creating and enhancing dashboards and reports for management Data modelling and integration with SAP Datasphere to create powerful data structures for analysis and forecasting Implementing and testing small machine learning solutions to automate and improve Controlling processes Supporting the Data & AI Team in developing the strategy, methods, and tools for digital transformation in Controlling Collaborating in interdisciplinary projects focused on digitalisation and data-based process optimisation

You will work closely with our Data & AI Team to design and implement cutting-edge solutions that drive business success. Your contributions will help shape the future of Controlling at Porsche.

In this role, you will have the opportunity to work on various projects, including:

Developing and implementing new reporting and analytics solutions Enhancing existing dashboards and reports Creating data models and integrating them with SAP Datasphere Implementing machine learning algorithms to automate and improve Controlling processes Collaborating with cross-functional teams to drive digital transformation

As a member of our team, you will be part of a dynamic and innovative environment where you can grow professionally and personally. You will have access to state-of-the-art technology and tools, as well as opportunities for professional development and networking.

If you are passionate about data-driven decision-making, innovation, and collaboration, we encourage you to apply for this exciting opportunity.

Key responsibilities:

• Develop and implement modern reporting and KI solutions
• Create and enhance dashboards and reports for management
• Design and implement data models and integrate them with SAP Datasphere
• Implement and test small machine learning solutions
• Support the Data & AI Team in developing the strategy, methods, and tools for digital transformation
• Collaborate in interdisciplinary projects focused on digitalisation and data-based process optimisation

Requirements:

• Bachelor's degree in Economics, Computer Science, Mathematics, Data Science, Business Administration, or a related field
• First-hand experience in Business Intelligence, preferably with SAP Analytics Cloud and SAP Datasphere
• Basic knowledge of data modelling, data analysis, and machine learning
• Proficiency in MS Office and interest in modern database and cloud technologies
• Self-motivated, structured, and analytical working style
• Enjoy working in a team and being part of innovative digital solutions
• Flexibility and high motivation to learn and apply new technologies in Controlling
• Excellent German language skills and good English language skills

Benefits:

• Personal mentors and an open feedback culture
• Digital learning and working tools
• Mobile learning after coordination with the team
• Own project work
• Team events on a voluntary basis
• Active internship community

Duration: 5-6 months

Start date: September

Location: Zuffenhausen

We look forward to receiving your application!

XML job scraping automation by YubHub

What to expect on your journey with us:

• A solid and innovative company with a strong market presence
• A dynamic, diverse, and multicultural work environment
• Leaders with deep market knowledge and strategic vision
• Continuous learning and development

Requirements

Supports the technical and ABAP code based applications in the landscape. Provide any and all technical support to all areas of the team. Builds new custom processes as needed. Helps support the health and BAU stability by troubleshooting and fixing technical issues.

Responsibilities:

• Supports the Farmers Finance Platform on SAP S/4, BW/4HANA and SAP Datasphere.
• Provide BAU support and troubleshooting for existing customizations and technical issues
• Meet with business stakeholders, gather requirements, design a solution and estimate, build, test, support UAT and deliver to production
• Have an awareness of various SAP development life cycle tools
• Collaborate with other subject matter areas of the platform as needed (Security, Master Data, Basis, Finance Functional, PaPM, ETL, Reporting)
• Support business users with use of custom applications and configuration
• Is responsible for the conceptual design of business applications
• Performs impact analysis of application changes across various components, holding an end-to-end view of the system
• Specifies / Recommends Integration and Parallel testing criteria
• Understands customers’ processes and products and how they fit within the goals of the business unit
• Reviews and validates the detailed technical design for business applications provided by the supplier to ensure alignment with business requirements; Validates suppliers estimates
• Estimates Rough Order of Magnitude for the level of effort/cost of new application functionality
• Performs quality review checks on project deliverables

Benefits

This position comes with a competitive compensation and benefits package.

• A competitive salary and performance-based bonuses.
• Comprehensive benefits package.
• Flexible work arrangements (remote and/or office-based).
• You will also enjoy a dynamic and inclusive work culture within a globally renowned group.
• Private Health Insurance.
• Paid Time Off.
• Training & Development opportunities in partnership with renowned companies.

XML job scraping automation by YubHub

At Valvoline Global Operations, we're proud to be The Original Motor Oil, but we've never rested on being first. Founded in 1866, we introduced the world's first branded motor oil, staking our claim as a pioneer in the automotive and industrial solutions industry.

Job Purpose

We are seeking a highly skilled and motivated Data Engineer to join our growing data and analytics team. The ideal candidate will have strong experience designing and developing scalable data pipelines, integrating complex systems, and optimizing data workflows. Proficiency in Databricks and SAP Datasphere is preferred, as these platforms are central to our data ecosystem.

How You Make an Impact (Job Accountabilities)

• Design, build, and maintain robust, scalable, and high-performance data pipelines using Databricks and SAP Datasphere.
• Collaborate with data architects, analysts, data scientists, and business stakeholders to gather requirements and deliver data solutions aligned with stakeholders' goals.
• Integrate diverse data sources (e.g., SAP, APIs, flat files, cloud storage) into the enterprise data platforms
• Ensure high standards of data quality and implement data governance practices. Stay current with emerging trends and technologies in cloud computing, big data, and data engineering.
• Provide ongoing support for the platform, troubleshoot any issues that arise, and ensure high availability and reliability of data infrastructure.
• Create documentation for the platform infrastructure and processes, and train other team members or users in platform effectively.

What You Bring to the Role (Job Qualifications / Education / Skills / Requirements / Capabilities)

• Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 5-7+ years of experience in a data engineering or related role.
• Strong knowledge of data engineering principles, data warehousing concepts, and modern data architecture.
• Proficiency in SQL and at least one programming language (e.g., Python, Scala).
• Experience with cloud platforms (e.g., Azure, AWS, or GCP), particularly in data services.
• Familiarity with data orchestration tools (e.g., PySpark, Airflow, Azure Data Factory) and CI/CD pipelines.

Competencies Desired

• Hands-on experience with Databricks (including Spark/PySpark, Delta Lake, MLflow, Unity Catalog, etc.).
• Practical experience working with SAP Datasphere (or SAP Data Warehouse Cloud) in data modeling and data integration scenarios.
• SAP BW or SAP HANA experience is a plus.
• Experience with BI tools like Power BI or Tableau.
• Understanding of data governance frameworks and data security best practices.
• Exposure to data lakehouse architecture and real-time streaming data pipelines.
• Certifications in Databricks, SAP, or cloud platforms are advantageous.

Working Conditions / Physical Requirements / Travel Requirements

• Normal Office environment.
• Prolonged periods of computer use and frequent participation in meetings
• Occasional walking, standing, and light lifting (up to 10 lbs)

• Minimal travel required.

XML job scraping automation by YubHub