Job Location: Chennai
The Role
Purpose & accountabilities
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.
- The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning), brings domain expertise, has applied those skills in solving real world problems across different businesses / functions and has managed small teams in delivering insights.
Purpose
- Support the Data Analytics team in design and execution of analytics projects
- Work with data and technology experts to help execute analytics projects and deploy solutions
Dimensions
- Support design and delivery of analytics projects, within or cutting across upstream and downstream business units in Shell
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 Science team and outside
- Virtual working with network of colleagues located throughout the globe
Skills & Requirements
- Industry / Functional Expertise in either:Manufacturing / Energy:
- Customer / Marketing
- Supply Chain / Spend:
- Functional Analytics
- Trading & risk management
- Forecasting
- SAP/ Finance Knowledge will be an asset
- Strong experience in specialized analytics tools and technologies (including, but not limited to)SAS, Python, R, SPSS (preferably two out of 4)
- Spotfire, Tableau, Qlickview
- Ability to search, extract, load & visualize data from data bases using pre-defined reports and new ad hoc queries (using BI self service)
- Proven ability to use visualization software packages – SAP Business Objects (must) and Spotfire, Tableau as an advantage and to make state of art presentations using MS ppt
- Advanced skills in design of easy-to-use reporting and interactive dashboards in SAP Business Object
Experience
- 2+ years in a global role or in various locations
- Bachelors / Masters degrees in Mathematics, Statistics, Engineering, Technical Finance, Econometrics, or other quantitative areas
- Good communication and influencing skills
- Eagerness to learn and ability to work under limited supervision
- A self-starter, able to work on initiative with a strong desire to learn
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