SUMMARY :
A global client in the logistics industry is seeking a Data Analyst for a 6-month contract. This role requires expertise in advanced Excel skills for data analysis, report creation, and delivering insights to enhance trading strategies.
POSITION INFO : Requirements :
- Degree in Data Science, Statistics, Information Management, or related field.
- Minimum of 3 years of experience in data management, analysis, or similar roles.
- Proficiency in SQL is essential.
- Advanced Excel skills are required.
- Familiarity with the mining industry is a plus.
- Proficiency in data management tools and software.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal abilities.
- Ability to work independently and collaboratively.
Key Responsibilities :
- Enter raw data from various sources into the database.
- Utilize advanced Excel functions (Vlookups, formulas, SUMIFs, Pivot Tables) to clean, analyze, and present data.
- Format and clean data for analysis.
- Generate and deliver reports.
- Perform administrative tasks as needed.
- Develop and maintain advanced Excel spreadsheets, models, and templates for data analysis and reporting.
Data Collection :
- Gather, validate, and record essential data from operational points, including transporters, mines, and in-country teams.
- Ensure timely and accurate data entry into reporting templates.
Data Analysis :
- Process and interpret data to provide actionable insights.
- Use predictive analytics to forecast trends and challenges.
Reporting :
- Create comprehensive reports based on analyzed data.
- Deliver reports promptly to stakeholders.
Communication :
- Coordinate with in-country teams to streamline data collection and resolve discrepancies.
- Respond professionally to stakeholder queries and feedback.
Quality Assurance :
- Conduct regular data audits to ensure accuracy and integrity.
- Collaborate with quality assurance teams to identify improvements.
Continuous Improvement :
- Participate in training, workshops, and meetings to stay updated on data management best practices.
- Suggest and implement process improvements based on feedback and evaluations.
IMPORTANT NOTICE
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