Shell Recruitment 2021 || Opening for Freshers & Experience - Data Analyst || B.E, B.Tech, BSc || Chennai - HrReferral

Shell 2021 Opening for Freshers & Experience - Data Analyst

Shell Campus Drive, Recruitment, Careers, Eligibility, Salary, Skills, Selection Process: Shell is going to hire right candidates through off campus. The candidates who have completed B.E, B.Tech, BSc with below mentioned skills are eligible to apply. Here you can get detailed description like company address, date of interview, eligibility details, selection process, registration link, apply link, all together in a single page given below. If you are really wish to make your career with this company you can use this recruitment. Follow daily updates for currently trending jobs in major cities.

Company Profile :

Shell : Shell, is an Anglo-Dutch multinational oil and gas company headquartered in the Netherlands and incorporated in the United Kingdom. It is one of the six oil and gas “supermajors” and the fifth-largest company in the world measured by 2015/16 revenues (and the largest based in Europe).Shell topped the 2013 Fortune Global 500 list of the world’s largest companies; in that year its revenues were equal to 84% of the Netherlands’ $555.8 billion GDP.

Company Website : www.shell.com

Designation: Data Analyst

Education: B.E, B.Tech, BSc

Experience: 0- 1+  years

Job Location: Chennai

Salary: Best in Industry

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Job Description :

• Incumbent is responsible for supporting the development of analytical models for projects collaborating with different business stakeholders & other partners and working across a range of technologies and tools.
• The ideal candidate has good background in quantitative skills (like statistics, mathematics, advanced computing) and has applied those skills in solving real world problems
• 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

Job Qualification and Skills Required :

• Deep expertise in machine learning techniques (supervised and unsupervised) statistics / mathematics / operations research including (but not limited to):
• Advanced Machine learning techniques (Mandatory): Decision Trees, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / engineering, Anomaly deduction, Natural Language Processing (incl. Theme deduction, sentiment analysis, Topic Modeling), Natural Language Generation
• Statistics / Mathematics (Mandatory) Data Quality Analysis, Data identification, Hypothesis testing, Univariate / Multivariate Analysis, Cluster Analysis, Classification/PCA, Factor Analysis, Linear Modeling, Logit/Probit Model, Affinity & Association, Time Series, DoE, distribution / probability theory
• Operations Research (Good to have; Added Advantage): Sensitivity Analysis – Shadow price, Allowable decrease or increase, Transportation problem & variants, Allocation Problem & variants, Selection problem, Multi-criteria decision-making, models, DEA, Employee Scheduling, Knapsack problem, Supply Chain Problem & variants, Location Selection, Network designing – VRP, TSP, Heuristics Modeling
• Risk (Good to have; Added Advantage): Simulation design and high-performance computing, GARCH modeling, Macro-economic / Market behavior modeling

Technology Skills :

• Strong experience in specialized analytics tools and technologies (including, but not limited to)
• SAS, Python, R, Alteryx, SQL (preferably two out of 5)
• Spotfire, Tableau, Qlickview, Power BI (preferably 1 out of 4)
• Identify the right modeling approach(es) for given scenario
• Assess data availability and modeling feasibility
• Review interpretation of models results

General Experience :

• 1+ Year/ Fresher with Advanced university degree in Mathematics, Statistics, Engineering, Economics, Quantitative Finance, OR, etc.
• Good communication skills
• Eagerness to learn and ability to work under tight deadlines

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Step by step instructions to Apply For this Jobs 2021 : 

Qualified competitors apply this drive in online through the link below ASAP. Shortlisted Candidates will get the venue details and selection procedure through email.

                                       Register Here

Step#1:   Go to the above link, enter your Email Id and give submit. 

Note:       If Already Registered, Directly Apply Through Step#4. 

Step#2:   Check your Inbox for Email with subject – 'Activate your Email Subscription '

Step#3:   Open the Email and click the confirmation of your            Subscription. Everything is DONE !

Step#4: Click Here to Apply Now !

Double Click to Apply Online !