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Job Description & How to Apply Below
Collect, analyze, and interpret data from various sources to identify trends, patterns, and insights relevant to business objectives
Perform ad-hoc analysis, reporting to support decision-making, solve business problems, and drive operational efficiencies
Collaborate with business stakeholders to understand their data needs and translate requirements into analytical solutions
Conduct data validation and quality assurance to ensure accuracy, completeness, and reliability of reports and analysis
Work cross-functionally with Marketing, Strategy, Customer Success teams for various Sales and Marketing programs and initiatives; make clear, coherent and holistic recommendations based on test results
Provide analytical deep-dives, monitor and optimize performance trends across multiple business units and try to decode the underlying reasons
Integrate data from all 3rd party sources and develop Machine Learning algorithms to build propensity and value models for different products and geographies
You will be reporting to Senior Manager, Business Analytics Finance
What Youll Need to be Successful
3+ years of relevant work experience in analyzing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations
A degree in a quantitative discipline such as Computer Science, Statistics, Engineering, or Mathematics
Fluent in Python, SQL and MS-Excel (can maintain complex spreadsheets); experience with visualization tools such as Power
BI and building statistical models
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