Data Analyst

Data Analyst

by

Shell

Job Description


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

Disclaimer


Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Royal Dutch/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.

To apply for this job please visit shell.wd3.myworkdayjobs.com.

    XTechalpha: Launching a “next-in class“ platform of exponential technologies: AI, Blockchain, Cloud, Cybersecurity, IoT & emerging segments: GCCs, Startups and Academic Institutions & Edtech accentuated with an enviable line up of proven and seasoned thought leaders bringing together and ensemble, curated content, networking interventions and learning enhancement. A must visit primer for GIC heads, Technology leaders, Exponential technologies enthusiasts, Academic deans and Entrepreneurs.

    Watch the Launch video:

    XTechalpha: reimagine your THINKING