Job Description
Job description
Analysts help shape slices credit and business strategies by enabling analysis-ready data and help drive insights out of it to help businesses make data-driven decisions. As a key member of the team, you work closely with leadership, growth, credit, and product teams to support and execute analytics-driven strategies for business growth.
What You will do:
First and foremost, use first principles thinking, data and analytical skills to generate actionable business insights to drive high business impact and enable great customer experience
Using Descriptive (Data visualizations BI) , Inquisitive (Root cause analysis) and Prescriptive analytics (helping business with insights and recommendations) to help drive effective problem solving at scale
Partner with functional leaders, Strategic Business Partners and Leadership team (across Growth, Retention, Fraud, Ops etc.) to understand, breakdown and define business problems,
Build effective solutions through comprehensive reporting and actionable insights generation to solve complex business problems and enable strategic decisions.
Qualifications
Will and Hunger to build a solution that impacts millions of customers
0-2 years of experience working on various business problems and providing insights to drive high business impact.
Expertise in databases and scripting languages (Advanced SQL, Python/R, Excel)
Excellent with Data Visualization and insight generation tools.
Great at breaking down problems to a granular level and then coming up with solutions.
Pro-communicator and great Story-telling capability
Open to learning new technologies
Role: Business Analyst
Industry Type: Financial Services
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Business Intelligence & Analytics
Education
UG: Any Graduate
PG: Any Postgraduate
Key Skills
Analytical skills Root cause analysis Analyst data visualization Medical insurance Customer experience microsoft Analytics SQL
Job Requirment
Industry:
FinTech / Payments
Department:
Data Science & Analytics data
Employment Type:
Full time