Job description:

General Position Definition

• Finance & Data Operations Data Science Team is tasked with delivering tangible value to business units within Shell through data-driven decision making. 

• This position is part of Finance & Data Operations Data Science team leading a small team of data scientists delivering advanced analytics projects for different businesses within Shell. The individual will join a growing global data science organization spanning both on/offshore.

• Incumbent is responsible for leading and executing analytics projects in a business, collaborating with different business stakeholders and other partners, support the implementation of insights to realize tangible value for Shell, manage a team of data scientists (up to 5) and working across a range of technologies and tools. 

Responsibilities: 

• Forming close relationships with business stakeholders across businesses / functions to comprehensively understand their business requirements and translate them into a Celonis process mining analytical solution.

• Clearly articulate the challenges / opportunities in business / function that can be supported by Process Mining analytics solution

• Conduct workshop to create awareness about "Art of possibilities" with process mining technology and generate use cases

• Implement new business process areas in Celonis (e.g.  Accounts Payable, Request to Pay, Trading and supply, Plant Maintenance, Warehouse Management) by developing appropriate process models, statistical analyses, and KPI visualization configurations for specific business requirements.

• Work with IT to provide initial data extraction requirements for source systems (SAP, Non-SAP) and configure Celonis for loading and transforming the data.

• Develop actionable insights by providing advanced analytics solutions on a broad range of business issues and data types.

• Document all Design, configuration and how to guides for Celonis Process Models.

• Provide clear guidance to end users on how to effectively use SAP Celonis Process Mining.

• Grow process mining capability by identifying opportunities in new business areas, work in preparing proposals, proof of concepts and demos.

• Design and implement advanced capabilities in Process mining (e. g. Predictive modelling, Natural Language Processing).

Requirements:

Experience working with process mining tools such as Process X-ray, Process Gold, Signavio, Mint, Celonis (preferred), etc. 

• Experience working with SAP / SAP HANA (functional modules, underlying data structures, BW).

• Overall minimum experience 7+ years out of which minimum 5+ years of experience working in Analytics, Business Intelligence, and Statistical Modelling.

• Strong understanding and experience with analytical/predictive modelling techniques, theories, principles, and practices.

• High Proficient in SQL or ABAP or Python or any other programming language

• Prior experience of working with data visualization tools such as SAP Lumira, SAP BO, SAP Analytics, Tableau, Qlikview or PowerBI

• Ability to manage different moving parts - business stakeholders, IT, Analytics Resources, Data Experts, SMEs, etc. for the successful execution of the projects (executing multiple projects at a time will be considered a plus

Number of Vacancies:

• Meaningful work in a company that is universally respected as a truly global energy leader (one of the world’s biggest companies according to Fortune Global 500)
• Unique opportunity to fulfill your potential with personal and professional development programs
• Work in a smart and motivated team within a supportive and inclusive culture with strong values
• Attractive salary and bonuses
• Complex medical care and individual life insurance
• Sports programme & facilities e.g. Multisport Benefits Card, vouchers for free time activities
• Good atmosphere at work and comfortable working environment: own canteen and a few relax rooms
• Opportunity to participate in social and community projects