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Not Disclosed by Recruiter Openings: 1 Posted 8 days ago Job Applicants: 21 Job Views: 213

Job Description

 
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    Job Description

    Finance & Data Operations Data Analytics is tasked with delivering tangible value to business units within Shell through data-driven decision making. This Data Scientist role will focus on integrated data services and analytics in the retail domain. It will join a growing global data analytics team spanning both on/offshore. Supporting the Shell Retail ambition through actionable insight generated through data analytics.
    Key responsibilities are to
    1.Working with on/off shore team members and support the data discovery, extract, analyse, transform and visualise lifecycle in response to business challenges and objectives.
    2.Provide insight into the quality and usefulness of data through investigatory analysis.
    3.Contribute to the development of a robust and repeatable data framework for data analysis.
    4.Collaborate with source system owners to build an inventory of data sources and help identify and assess sources of data, including helping define where key data elements are mastered.
    5.Execute end-to-end data analysis projects - scoping, sourcing data, performing analysis, translating and communicating results, and helping the business partner to understand and make decisions accordingly (help generate value for organization through analytics).

Salary: Not Disclosed by Recruiter

Industry: Chemicals / PetroChemical / Plastic / Rubber

Functional Area: Analytics & Business Intelligence

Role Category:Analytics & BI

Role:Data Analyst

Employment Type: Permanent Job, Full Time

Keyskills

Desired Candidate Profile

    Requirements

    Creative in the use of data to effectively and efficiently produce results.
    Previous experience using both structured and unstructured data sets of large volumes.
    Demonstrated advanced knowledge of data manipulation and merging datasets from a variety of sources.
    Experienced in Advance Data modelling & Machine Learning techniques
    Proficiency in SQL, SAS, R or equivalent language necessary.
    Experience of using visualisation tools such as Power BI and Spotfire advantageous.
    Experience in ETL development considered an advantage.

Education-

UG: Any Graduate - Any Specialization

PG:Any Postgraduate - Any Specialization

Doctorate:Doctorate Not Required

Company Profile:

Shell India Markets Private Limited

Shell India Markets Private Limited
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