Data Analyst at Flex Finance

Flex Finance is Africa's leading Spend management and requisition platform that helps finance teams and business owners manage all company spending in one place. We combined robust payment infrastructure with spend management architecture and data-rich expense reports to revolutionize how African businesses track spending.

We are recruiting to fill the position below:

Job Title: Data Analyst

Location: Lagos, Nigeria (Hybrid)
Job type: Full-time

Job Description

We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions.
Your responsibilities will include conducting a complete lifecycle analysis for requirements, activities and design. Data analysts will develop research and reporting capabilities
You will also monitor performance and quality control plans to identify improvements.
If you think you are ready to join our team, then apply right away. We will be pleased to meet you.

Duties and Responsibilities

Interpret data, analyze results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases / data systems
Identify, analyze, and interpret trends or patterns in complex data sets.
Filter and "clean" data
Work with management to prioritize business and information needs.
Locate and define new process improvement opportunities

Requirements

BSc in Mathematics, Economics, Computer Science, Information Management or Statistics is a plus
Proven working experience as a Data Analyst or Business Data Analyst
Technical expertise in data models, data mining and segmentation techniques
Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
Knowledge of Retool, Tableau, or Power BI is a plus.
Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (JavaScript or ETL frameworks)
Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, etc.)

Benefits