Data Analyst Job at Speedaf Express

Speedaf was established in 2019. We are a joint-venture company invested by Chinese leading express enterprises. Since founded, we continuously expand global network, develop and optimize products, improve customer experience, and introduce IT technologies and equipment to realize automatic operations.

Currently, we are building an intra-Africa and China-Africa service network to support air, sea and road transportation with the aim to be the leading diversified integrated logistics solution provider between China and Africa. By doing so, it will reduce end-to-end logistics costs between China and Africa while providing a stable and recognized logistics services to our customers.

We are recruiting to fill the position below:

Job Position: Data Analyst
Job Locations: Ikeja, Lagos
Employment Type: Full-time

Job Summary

• The Data Analyst is responsible for collecting, processing, and performing statistical analyses on large datasets to help the organization make data-driven decisions.
• This role involves working closely with various departments to identify data needs, generate reports, and provide actionable insights that support business goals and objectives.

Key Responsibilities
The staff will be responsible for:

• Detecting, examine, and decode trends or patterns within intricate datasets.
• Coordinating with management to align business and informational priorities.
• Identifying opportunities for process enhancements via data reporting
• Employing statistical techniques to scrutinize data and produce actionable business insights.
• Collaborating with the management team to determine and rank the needs of different business units.
• Developing data dashboards, charts, and visual aids to support decision-making across departments.

Qualifications

• Bachelor’s Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• Minimum of 2 years of experience in data analysis or a related role.
• Proficiency in data analysis tools and software such as SQL, Python, R, and Excel.
• Excellent communication and presentation skills.
• Attention to detail and a high level of accuracy in work.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.