A 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 visualization 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
3 to 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 analyzing data.
Hands-on with Python for data analysis and programming. Statistical modeling would be an advantage.
Hands-on with an industry standard BI visualization tool like Tableau, Power BI, Business Objects, Qlik etc..
Self-driven individual with ability to articulate ideas and insights through visualization.
Benefits
Training & Development
Family Leave (Maternity, Paternity)
Paid Time Off (Vacation, Sick & Public Holidays)
Recruitment Process
A screening interview with one of the members of the Talent Acquisition team ~30 minutes.
Technical Interview - SQL/Python proficiency with Tech.Team ~60 minutes