Graduate Intern - Data Analyst at ExxonMobil

What role you will play in our team

• 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.

What you will do

Tool and Application Development:

• Design, develop, and maintain tools and applications tailored for tracking relevant indices and Key Performance Indicators (KPIs) specific to land transportation.
• Collaborate with stakeholders to understand requirements and translate them into functional specifications for tool development.
• Utilize programming languages and software tools such as Python, R, SQL, and Tableau to create user-friendly dashboards and reporting interfaces.
• Implement automation where possible to streamline data collection, processing, and visualization processes.

Data Analysis:

• Conduct in-depth analyses of transportation data to identify trends, patterns, and outliers.
• Utilize statistical techniques and predictive modeling to forecast transportation demand, optimize routes, and improve operational efficiency.
• Perform root cause analysis to identify factors impacting transportation performance and propose data-driven solutions for improvement.
• Collaborate with cross-functional teams to gather relevant data inputs and ensure data integrity throughout the analysis process.

Management Reporting:

• Generate regular reports and ad-hoc analyses for management review, providing insights into transportation performance, cost trends, and operational metrics.
• Present findings and recommendations to key stakeholders, including transportation managers, supply chain directors, and executives, in a clear and concise manner.
• Customize reporting formats and metrics based on the needs of different stakeholders, ensuring alignment with strategic objectives and business priorities.
• Continuously refine reporting processes and formats based on feedback and changing business requirements to enhance the effectiveness of decision-making.

Data Quality Assurance:

• Establish data quality standards and protocols to ensure accuracy, completeness, and consistency of transportation data sources.
• Conduct regular audits and validations of data inputs to identify discrepancies or anomalies and implement corrective actions as needed.
• Collaborate with IT teams to optimize data infrastructure and systems for data collection, storage, and retrieval, ensuring data accessibility and reliability for analysis purposes.
• By fulfilling these primary job functions, the data analyst in the land transportation unit plays a crucial role in optimizing transportation operations, driving cost savings, and improving overall supply chain performance.

About You

• 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

Preferred Qualifications/ Experience

• 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.