ExxonMobi –
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we canwork together.
Job Summary
Job Title– Graduate Intern – Data Analyst
Job Type – Graduate Internship
Required Skills – Python, R, SQL, and Tableau
Educational Requirements – Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field with a minimum of 2nd class upper or its equivalent. A master’s degree or a professional qualification will be an added advantage.
Experience – Maximum of 2 years of post-graduation experience.
About
- As a Data Analyst in the Land Transportation Unit of our Supply Chain Department, you will play a crucial role in optimizing the efficiency and effectiveness of our land transportation operations.
- You will be responsible for collecting, analyzing, and interpreting data related to transportation routes, vehicle performance, fuel consumption, driver behavior, and other key metrics.
- Your insights will drive decision-making processes, enabling us to streamline our transportation processes, reduce costs, improve delivery times, and enhance overall customer satisfaction. Additionally, you will collaborate with cross-functional teams to develop predictive models, generate actionable reports, and identify opportunities for process improvements.
- This role requires strong analytical skills, proficiency in data visualization tools, and a deep understanding of transportation logistics. If you are passionate about leveraging data to drive operational excellence and eager to make a meaningful impact in the supply chain industry, we encourage you to apply.
- Additionally, you’ll play a crucial role in implementing technology solutions, such as ERP systems, to streamline operations and ensure compliance with industry regulations.
- Strong analytical skills, industry knowledge, and effective communication are essential for success in this role.
Requirements
- Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field with a minimum of 2nd class upper or its equivalent. A master’s degree or a professional qualification will be an added advantage.
- Maximum of 2 years of post-graduation experience.
- Proficiency in programming languages such as Python, R, or SQL, with the ability to manipulate and analyze complex datasets efficiently.
- Experience with data visualization tools like Tableau, Power BI, or Matplotlib to create insightful visual representations of data for stakeholders.
- Understanding of statistical methods and concepts, including hypothesis testing, regression analysis, and predictive modelling
- Strong analytical abilities with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Excellent communication skills, both written and verbal, to effectively convey insights and findings to diverse stakeholders, including technical and non-technical audiences.
- Ability to work collaboratively in a team environment, contribute ideas, and support team goals while also being capable of working independently on assigned tasks.
- Excellent communication skills, both written and verbal, to effectively convey insights and findings to diverse stakeholders, including technical and non-technical audiences.
- Strong problem-solving skills with the ability to identify issues, propose solutions, and implement strategies to improve data quality and analysis processes.
- Willingness to learn and adapt to new technologies, tools, and methodologies in the field of data analysis and transportation analytics.
- Demonstrated ability to manage multiple tasks and prioritize effectively to meet deadlines in a fast-paced environment.
