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ExxonMobil

Produces oil, gas, fuels and chemical materials

Analytics Advisor

Business IntelligenceConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A minimum bachelor's degree in Engineering is required.
  • At least four years of experience with Python, Snowflake, SQL, or another programming language is required.
  • Working experience in the oil and gas industry and a clear understanding of user requirements for standard reporting and related services are preferred.
  • Ability to effectively control scope and demand for report delivery services.
  • Ability to apply continuous improvement processes to streamline report delivery using continuous-improvement tools and analytics technologies.

Responsibilities

  • Evaluate business processes to identify opportunities for automation that improve efficiency and effectiveness.
  • Develop detailed process documentation and diagrams to support understanding and implementation of automation solutions.
  • Design, test, and deploy automation scripts and systems.
  • Work with various teams to understand their needs and provide tailored automation solutions.
  • Provide training and ongoing support to staff on automation tools and systems.
  • Keep up to date with trends and technologies in automation.
  • Review and update automation processes regularly to maintain their efficiency and effectiveness.
  • Troubleshoot and resolve technical issues related to automation systems.
  • Implement transformation to streamline, automate, and centralize business and reporting processes.
  • Troubleshoot application issues and provide break-fix solutions to ensure smooth operations.
  • Build end-user applications and establish data connections to platforms, including cloud services.

Desired Qualifications

  • Hands-on experience with Python or R.
  • Experience building machine-learning models in Python using NumPy and scikit-learn.
  • Experience building and training supervised machine-learning models for prediction and binary classification, including linear regression and logistic regression.
  • Experience with Python, scikit-learn for classical machine learning, PyTorch and TensorFlow for deep neural networks, Databricks, Spark, and Azure Machine Learning.
  • Experience personally developing predictive or advanced analytics models and evaluating metrics for regression, time series, and forecasting.
  • Strong SQL experience and experience with Power BI or equivalent visualization tools.
  • Experience developing artificial intelligence and machine-learning solutions.

About the Company

ExxonMobil

Produces oil, gas, fuels and chemical materials

ExxonMobil produces oil and natural gas and manufactures fuels, lubricants, and chemicals for transport operators, industrial customers, and consumers around the world. Its businesses span resource exploration and production, refineries that turn crude oil into fuels, and plants that make plastics and other chemical materials. The company sells products through wholesale supply agreements and the Exxon, Esso, and Mobil brands, including motor oils for vehicles and machinery. It also sells services that capture, transport, and store industrial carbon dioxide underground. The merged company formed in 1999 from Exxon and Mobil, with roots in earlier oil businesses, and is headquartered in Spring, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Spring, TX
Founded
1999

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