The leading platform for small & medium business lending in emerging markets.
Lidya is a financial services platform to improve access to credit and finance across frontier and emerging markets starting with Nigeria. Launched in November 2016, with a mission to close that yawning credit gap, both in Nigeria and across emerging markets where there is a...
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We are looking for a passionate Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions.
Your work will help to grow our loan book and inform smarter, faster credit decisioning and superior portfolio management.
You will be a driving force in helping Lidya quickly scale to millions of loans with minimal losses and exceptional returns.
This is a perfect opportunity to participate in an entrepreneurial adventure that will revolutionize business in Africa and beyond.
The Data Analyst position will work closely with the senior management team and will be responsible for importing, transforming, validating or modeling data with the purpose of understanding or drawing conclusions from the data in order to drive clinical and operational decision-making.
The data analyst’s responsibilities may include presenting data in charts, graphs and tables as well as designing and developing relational databases for collecting data.
Key Duties and Responsibilities
Acquiring and authentication of data from primary or secondary data sources and maintaining databases.
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
Identify, analyze, and interpret trends or patterns in complex data sets.
Work with management to prioritize business and information needs and locate and define new process improvement opportunities.
Desired Qualifications and Skillset
Bachelor's Degree in Finance, Accounting, Statistics, Mathematics, Engineering, Computer Science, Information Management, Investments, or a related business discipline (MBA, CPA, or CFA is a plus).
3 to 5 years+ of experience working with an Investment Bank, Management Consulting Firm or in an advanced degree course with heavy math and/or statistics requirements.
Technical expertise regarding data models, database design development, data mining and segmentation techniques.
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc).
Attention to Detail: The conclusions drawn from your data analysis will drive critical departmental initiatives. Accuracy and attention to detail are paramount.
Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Math Skills: Deep understanding of basic statistical methods.