Business Intelligence Analyst

As a Business Analyst at our company, your role will involve collecting, analyzing, and interpreting data from various sources to identify trends, patterns, and insights relevant to business objectives. You will perform ad-hoc analysis and reporting to support decision-making, solve business problems, and drive operational efficiencies. Collaboration with business stakeholders to understand their data needs and translating requirements into analytical solutions will be a key aspect of your responsibilities. Key Responsibilities: - Collect, analyze, and interpret data from various sources - Perform ad-hoc analysis and reporting to support decision-making - Collaborate with business stakeholders to understand data needs - Translate requirements into analytical solutions - Conduct data validation and quality assurance - Work cross-functionally with Marketing, Strategy, Customer Success teams - Provide analytical deep-dives and monitor performance trends - Integrate data from 3rd party sources - Develop Machine Learning algorithms for propensity and value models Qualifications Required: - 3+ years of relevant work experience in analyzing large data sets - Degree in a quantitative discipline (Computer Science, Statistics, Engineering, Mathematics) - Proficient in Python, SQL, and MS-Excel - Experience with visualization tools like PowerBI and building statistical models You will report to the Senior Manager, Business Analytics Finance. As a Business Analyst at our company, your role will involve collecting, analyzing, and interpreting data from various sources to identify trends, patterns, and insights relevant to business objectives. You will perform ad-hoc analysis and reporting to support decision-making, solve business problems, and drive operational efficiencies. Collaboration with business stakeholders to understand their data needs and translating requirements into analytical solutions will be a key aspect of your responsibilities. Key Responsibilities: - Collect, analyze, and interpret data from various sources - Perform ad-hoc analysis and reporting to support decision-making - Collaborate with business stakeholders to understand data needs - Translate requirements into analytical solutions - Conduct data validation and quality assurance - Work cross-functionally with Marketing, Strategy, Customer Success teams - Provide analytical deep-dives and monitor performance trends - Integrate data from 3rd party sources - Develop Machine Learning algorithms for propensity and value models Qualifications Required: - 3+ years of relevant work experience in analyzing large data sets - Degree in a quantitative discipline (Computer Science, Statistics, Engineering, Mathematics) - Proficient in Python, SQL, and MS-Excel - Experience with visualization tools like PowerBI and building statistical models You will report to the Senior Manager, Business Analytics Finance.