Exxon Mobil Corporation is the world's leading publicly-owned energy company. ExxonMobil's business in Nigeria is conducted through individual operating companies. These include: Mobil Producing Nigeria Unlimited Esso Exploration and Production Nigeria Limited Mobil Oil Nigeria
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.
Method of Application
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