, India

　　Job Family Group:

　　Information Technology (IT)

　　Worker Type:

　　Regular

　　Posting Start Date:

　　Business unit:

　　Finance

　　Experience Level:

　　Experienced Professionals

　　Job Description:

　　General Position Definition

　　The Commercial Data Science (CDS) team is a community of experts who work closely with business stakeholders within Shell and provide analytical solutions with their domain and technical expertise. You will be part of the Digital Process Twin portfolio to drive vision of “Empower Process Transformation through Digital Process Twins”.

　　As Team lead BI, you will work on some of the latest data science tech-stack to solve complex business problems and demonstrate significant business value for Shell. You will be leading a group of business analysts/data scientist to deploy analytical solutions through Process Mining / Digital Process Twin capability; to drive operational efficiency and thereby increase profitability of the organization.

　　Incumbent is responsible for leading and executing data analysis 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 BI Analysts (up to 5) and working across a range of technologies and tools.

　　Has strong background in business analytics, data modelling, storytelling, quantitative skills, brings domain expertise, has applied those skills in solving real world problems across different businesses / functions and has managed small teams in delivering insights.

　　Perform a role that involves a combination of hands-on solutioning, stakeholder engagement and team management.

　　Professional Qualifications & Skills:

　　Educational Qualification:

　　Bachelors / Masters/ Phd in Mathematics, Statistics, Economics, Engineering, or related areas

　　Minimum 8 years of experience of which min 4years in Data analytics/Business intelligence/data engineering with 2 years of people management experience.

　　Data Modelling/Data Engineering Skills:

　　Ability to understand and translate business/process data from various data sources such as SAP, Salesforce, HANA, Service Now, etc. to build business/process data model to deliver analytics solution.

　　Should be strong at understanding data architecture or frameworks and effectively coordinate development of ETL/data warehouse best practices needed to support new and evolving sources of data used in reporting and process analytics.

　　Strong experience in topics related to Data Governance, Data Optimization and Data Architecture.

　　Hands-on experience in Cloud platforms like Azure, AWS is needed.

　　Experience in Celonis (On-Prem/EMS), UI Path, Signavio preferred.

　　Reporting and Technology Skills

　　Deep expertise in analytics tools and technologies including (but not limited to):

　　Data Engineering: Scripting Tools like SQL/Python/Spark/ADF/ADLS

　　Storytelling: Data visualization, Data Storytelling, Dashboard maintenance

　　Strong experience in BI tools and technologies (including, but not limited to) Power BI, Spotfire, Tableau, Qlikview

　　Stakeholder Management Skills

　　Forming close relationships with business stakeholders across businesses / functions to comprehensively understand their areas of operation and apply those in project execution

　　Effective coordination with IT & Data Experts to ensure design & management of data pipelines to support Process Mining

　　Clearly articulate the challenges / opportunities in business / function that can be supported by analytics

　　Project & People Management

　　Execute end-to-end analytics projects - Project scoping, sourcing data, managing modeling, translating model results into business insights, and helping business partner understand insights and make decisions accordingly (help generate value for organization through data analysis)

　　Strong leadership skills, with clear evidence of people leadership (leading mid-size team) and an ability to challenge status-quo of business operations empathically.

　　Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work.

　　Key Competencies:

　　Critical thinking

　　Business Partnering

　　Data Modelling/Engineering

　　Key Behavior trait:

　　Learner Mindset

　　Enterprise Mindset

　　External Focus

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　　DISCLAIMER:

　　Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.

　　According to the United Nations, the global population could increase to more than 10 billion people. A key role for society – and for Shell – is to find ways to meet the growing demand for energy, with less carbon emissions. We need people who dare to think differently – to take part in developing tomorrow’s energy solutions today.