Assistant Manager-Data Insight

Responsibilities

As a Data Analytics, you will work with our Credit and Analytics Team & key stakeholders to

leverage our data to drive operational efficiencies and provide key data-driven insights.

• Performing descriptive, predictive and prescriptive analytics

• Generating actionable insights through analysis of key metrics across functions

• Identifying the root cause through deep analysis of data to reach a point where

actionable solutions can be designed

• Devising mechanisms for control, performance monitoring, and reporting

to internal stakeholders

• Assist in investigating and drafting cost / benefit analysis and business

requirements showcasing potential solutions for business initiatives

• Working cross-functionally with business teams to ensure development and

implementation of programs as per requirements & timelines

Requirements

• Bachelor's degree in Business, Engineering or a related field

• 3-5 years of professional experience in consulting, analytics, business analysis or

comparable consumer analytics position

• Experience in developing requirements and formulating business metrics

for reporting, familiarity with data visualization tools, e.g. Tableau,

PowerBI, Quicksight, Google Data Studio]

• Advanced working knowledge of data mining using SQL, ETL, data warehouse

as well as Excel.

• Programming languages: Python, R

• Excellent communication (verbal and written) and interpersonal skills and

an ability to effectively communicate with both business and technical teams

• Proven problem-solving skills, project management skills, attention to detail, and

exceptional organizational skills

• Ability to deal with ambiguity and competing objectives in a fast paced

environment

• Ability to display complex quantitative data in a simple, intuitive format and to

present findings in a clear and concise manner

Preferred Qualifications

• Advanced technical or business degree (MS or MBA)

• Familiarity to Hadoop Mapreduce, Hive, Spark

• Experience of leading/developing ML-AI models in production.