Data and Analytics Lead
Scripbox
Job Description
Core Responsibilities:
Drive business growth using analytics and data science models
- Analysis Design - Break down complex questions for insightful analysis
- Extract meaningful insights from data, to understand customer behaviour and spot growth opportunity
- Share your findings verbally, visually and compellingly
- Work closely with cross-functional squads for data-driven decisions
- Ensure accuracy of data for reliable analysis
- Improve our analytics and ML set-up for better insights
Technical Requirements:
- 4-10 years of experience - with 3+ in analytics delivering business insights
- Degree in Computer Science, Engineering, Statistics. Top 5% of class
- Structured thinking and communication
- Proficient in Excel, SQL, Python - must be a pro at this. Familiar with libraries like numpy, pandas
- Understanding of basic statistics - central tendency, probability and regression
- Familiarity data visualisation methods (charts) and tools (Tableau, Power BI, etc) to communicate insights
- History of successful collaboration with different functions
- Motivated for Self learning
Preferred but not essential Qualifications:
- Experience working in a startup, preferably in a growth-focused analytics role
- Knowledge of analytics/personalisation tools (Web-engage and Amplitude)
- Understanding of the wealth management domain
Skills: excel, SQL, Python