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Shell Hiring Freshers For Data Analyst Position- BE/BTech/ME/MTech/BSC/MSC

Shell Hiring Freshers For Data Analyst Position Details:

About Company: Royal Dutch Shell, commonly known as Shell, is an Anglo-Dutch multinational oil and gas company headquartered in The Hague, Netherlands, and incorporated in the United Kingdom as a public limited company.

Company Name: Shell

Official Website: www.shell.in

Job Profile: Data Analyst

Industry Type: Oil and Gas

Experience Required: 0-1+ year

Work Location: Chennai

General Position Definition

  • 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

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

Modeling Skills

  • 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 behaviour 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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