Job Summary: 

• Identify Key Performance Indicators/key metrics and build data reporting tools to measure results and success.
• Translate business needs into technical requirements through technical documentation.
• Manage and develop data infrastructure (scripts, ETL pipelines, and dashboards) to bring order and insight to complex datasets.
• Provide thought leadership to key business stakeholders, translating data into actionable insights using appropriate analytical solutions.
• Contribute to the development of analytical frameworks, tools, and skills as a team player in the Customer Experience organization.
• Working with large and heterogeneous datasets in real life. 
• Creating beautiful and impactful data visualizations
• Understanding the diversity of data sources inside a large organization and how to access data in strict compliance with SAP’s internal rules for handling company data as well as data protection regulations.
• Complementing data with qualitative insights gathered from conversations with SAP leaders and managers in different locations.
• Presenting results to senior executives, gathering feedback, iterating.

Skills on Resume:

• Key Performance Indicators (Hard Skills)
• Technical Documentation (Hard Skills)
• Data Infrastructure Management (Hard Skills)
• Data Analysis and Interpretation (Hard Skills)
• Collaboration and Teamwork (Soft Skills)
• Data Visualization (Hard Skills)
• Compliance Knowledge (Hard Skills)
• Presentation Skills (Soft Skills)

Job Summary: 

• Propose and implement new ways of analyzing and visualizing location data for helping SAP better understand the geographical distribution of its engineering workforce and identifying the strengths and weaknesses of the current location strategy.
• Create ways of visualizing this data that are easily consumable by senior managers and can create impact. 
• Collects, researches and analyzes source data
• Identifies source data inaccuracies and takes corrective action
• Develops technical publication project plan, budget and baseline schedules
• Estimates the impact of the proposal or changes to the publication elements
• Develops graphics, updates publication elements based on internal/external reviews, source data changes and equipment modification
• Working with business and solution teams to develop and implement data strategies, build data flows, and develop conceptual, logical and physical data models
• Defining and creating an enterprise common data model as a key part of the information management system
• Defining and governing data modelling and design standards including tools, best practices, and related development for enterprise data models.
• Hands-on modelling, design, configuration, installation, performance tuning, and sandbox POC development.

Skills on Resume: 

• Data Analysis (Hard Skills)
• Data Visualization (Hard Skills)
• Project Planning (Hard Skills)
• Source Data Correction (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Data Strategy Development (Hard Skills)
• Standards Governance (Hard Skills)
• Performance Tuning (Hard Skills)

Job Summary: 

• Design and maintain conceptual, logical and physical data models, for specific requirements as well as to represent an integrated and consistent view of data across the organisation.
• Participate in defining data modelling and design standards, templates, patterns, processes, methodologies, tools, best practices and governance for the entire Data Office to ensure consistency and re-use and to ease understanding.
• Collaborate with enterprise architecture to ensure the organization’s data architectural landscape is defined and is robust, future fit and documented.
• Collaborate with data engineering to ensure data is structured in a way to enable reuse, ease-of-use, consistency, inter-operability and auditability, and to reduce duplication and redundancy.
• Translate business needs into data models which support long term solutions.
• Generate DDLs from physical data models.
• Perform reverse engineering of databases and ETL/scripts into physical data models.
• Perform data analysis and mining, using SQL and other techniques.
• Contribute to the review of data models to ensure consistency and adherence to standards and governance.
• Participate in resolving data integration challenges.
• Assist in the documentation of data requirements to ensure they are clearly understood, and the deliverables required of the Data Office can be met.

Skills on Resume: 

• Data Modeling (Hard Skills)
• Standards Development (Hard Skills)
• Data Analysis (Hard Skills)
• Collaboration (Soft Skills)
• Business Needs Translation (Soft Skills)
• Database Reverse Engineering (Hard Skills)
• SQL Proficiency (Hard Skills)
• Documentation Skills (Soft Skills)

Job Summary: 

• Design, implementation and maintenance of clients standardised data model at all levels (conceptual, logical and physical)
• Support the implementation and use of the standardised and specialised data models in implementation of operational and analytical solutions
• Support the implementation and design of a data dictionary for the data models. 
• Ensuring it reflects the multiple different views and definitions of the data across the business through governance and a practical pervasive approach
• Mapping data model items to physical metadata e.g. schemas in the metadata repository
• Ownership of these Data Models through implementation, ensuring it is maintained in a timely manner, communicated to all stakeholders and colleagues in an accessible manner
• Drive common agreed definitions and understanding across the clients Data, Analytics and Technical community of business terms captured in the data models and dictionary
• Facilitate the resolution of business issues with the development of views and patterns to articulate and translate the business needs into long-term data solutions
• Follow the client's data modelling standards and guidelines, ensuring technical governance is applied
• Working proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
• Developing and implementing quality metrics to ensure compliance with an enterprise data model

Skills on Resume:

• Data Modeling (Hard Skills)
• Data Dictionary Design (Hard Skills)
• Metadata Mapping (Hard Skills)
• Stakeholder Communication (Soft Skills)
• Governance and Compliance (Hard Skills)
• Problem Solving (Soft Skills)
• Project Management (Soft Skills)
• Quality Metrics Development (Hard Skills)

Job Summary: 

• Work closely alongside development team, content team and marketing team, and responsibilities will include:
• Communicating effectively with a variety of team members, in different departments, to understand needs and how best to support them with visual content.
• Supporting the production team and Production Manager with daily tasks.
• Creating designs and layouts for in-house digital and print projects.
• Website design, with a focus on front-end design, interactivity and usability.
• Visualising data to create engaging information graphics.
• Actively working to improve the user interface (UI) and user experience (UX) of products.
• Thinking creatively to solve design challenges and improve production processes.
• Maintaining a strong brand identity across products.

Skills on Resume:

• Effective Communication (Soft Skills)
• Team Collaboration (Soft Skills)
• Graphic Design (Hard Skills)
• Front-End Web Design (Hard Skills)
• Data Visualization (Hard Skills)
• User Interface (UI) Design (Hard Skills)
• User Experience (UX) Improvement (Hard Skills)
• Creative Problem Solving (Soft Skills)