Business Intelligence Analyst

What You'll Do

Avalara is seeking a business-experienced and business analyst to join Global Analytics and Insights team. In this role, you will be responsible for providing analytical insights and recommendations to enable application of best practices in customer lifecycle management. You will be responsible to provide analytical insights that form the basis of GTM strategy, develop scalable models, drive new acquisitions, product and channel decisions. By combining a deep understanding of business concepts with knowledge of statistics and exploratory data analysis, you will uncover actionable insights & catalyze change for Avalara's customers. This rare opportunity involves creative freedom in generating insights, stakeholder management across multiple global teams and direct influence on our roadmap.

What Your Responsibilities Will Be

• 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 You'll 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 PowerBI and building statistical models