Senior Business Analyst at FairMoney

FairMoney is a platform that helps people access instant loans within 5 minutes through our android app.
From the corners of Kano, Nigeria to the quarters of Chennai in India, we’re connecting people to prosperity by taking an effective financial product to them. We’re giving them the loans they need to fuel their dreams and a payment plan that allows them to make their vision a reality. 

Requirements

Roles and Responsibilities

A Senior Business Analyst at FairMoney is required to excel at the following responsibilities..

• Business process understanding - gain understanding on Lending functions (Growth, Collections, Risk, Operations etc..) and become a subject matter expert in a respective domain.
• Data discovery thoroughly understand transactional source systems and visualise relational mappings between business KPIs and source data structures. Use SQL/Python to apply business process understanding and mine data for meaningful metrics to measure and analyse various aspects of the business.
• Proactive insights - use data visualisation (any industry standard BI visualisation tool), descriptive analysis, deep dive and root cause analysis, predictive/prescriptive modeling to explore trends, slice and dice data and generate meaningful insights.
• Hypothesis & Testing use statistical techniques to identify issues and opportunities, propose and test new hypotheses in order to enhance efficiencies in the business process.
• Stakeholder engagement - actively work with stakeholders for each of the aforementioned points, collate feedback, evolve, adapt and fine-tune analysis as required. Drive thoughtful innovation as one of the key analytical partners for the respective business.

Requirements

• A minimum of 5 years of experience in data analysis in at least 2 different business functions (preferably Lending or Banking).
• Expertise on using SQL (as a query language). Should have good hands-on experience in querying relational DBMS, joining different data structures and using analytical functions.
• Hands-on using spreadsheets (MS Excel or Google sheets) for analysing data.
• Hands-on with Python for data analysis and programming. Statistical modeling would be an advantage.
• Hands-on with an industry standard BI visualisation tool like Tableau, Power BI, Business Objects, Qlik etc..
• Self-driven individual with ability to articulate ideas and insights through visualisation.

Method of Application