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Data and Analytics Lead

Scripbox

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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

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