Senior Business Analyst at FairMoney

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.