Shell - Senior Specialist - Data Analytics

General Position Definition:

This position is within the Finance Operations Data Analytics team. The team is tasked with delivering tangible value to business units within Shell through data-driven decision making. The Senior Specialist role supports execution of analytics projects as an individual contributor.

Purpose:

- Support the Data Analytics team in design and execution of analytics projects

- Work with Shell stakeholders and subject matter experts to help design analytics projects

Requirements:

Modeling and Technology Skills:

- Ability to search, extract, transform and load data from Shell's various databases, cleanse and refine data until it is fit-for-purpose

- Knowledge of statistical, mathematical and machine learning models, and ability to choose appropriate technique for estimation, comparison, classification, prediction and optimization

- Proven ability to program chosen models in analytics and visualization software packages - R, SAS, Minitab, Alteryx, Azure, Spotfire, etc

- Advanced skills in design of easy-to-use reporting interfaces and interactive dashboards in Spotfire and Excel

Industry / Functional Expertise:

- Prior experience in Oil & Gas/Energy industry as an analytics professional

OR

- Domain expertise in sales & marketing/loyalty/customer analytics, procurement/spend analytics, supply chain analytics, risk analytics, quantitative finance, etc

Apply knowledge from one industry / function across others

Special Challenges:

- Rapid onboarding on projects, understanding analytics goal and working with ill-defined datasets

- Communicating technical jargon in plain English to colleagues within Data Analytics and outside

- Virtual working with network of colleagues located throughout the globe

Dimensions:

- Support design and delivery of analytics projects, within or cutting across upstream and downstream business units in Shell

Experience:

- 5+ years of experience, including 3 years in a hands-on analytics role

- University degree in Mathematics, Statistics, Engineering, Economics, Quantitative Finance, OR, etc

- Good interpersonal communication skills and influencing skills

- Eagerness to learn and ability to work with limited supervision