• The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics.
• They will be responsible for conducting both recurring and ad hoc analysis for business users.

Responsibilities

• Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality.
• Data mining; digging deep into batches of data gotten from various departments and systems in order to spot patterns that may crop up.
• Data interpretation: go through data sources gotten from mining in order to interpret and draw conclusions.
• Report generation and presentation; weekly, monthly and quarterly client and company data mined and interpreted should be made into a report and presented.
• Proper maintenance of databases/data systems.
• Work with management to prioritize business and information needs.
• Working with programmers, operations team, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.

Qualifications

• 2 – 3 years of proven experience working as a data analyst in the logistics, transportation or ecommerce sector.
• Strong mathematical skills to help collect, measure, organize and analyze data
• Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analyzing
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Knowledge of programming languages like SQL, python
• Problem-solving skills
• Adept at queries, writing reports, and making presentations
• Team-working skills
• Verbal and Written communication skills
• Proven working experience in data analysis