Business Analyst

Job Description

What You'll Do

Avalara is seeking a business-savvy and action-oriented business and financial analyst to join Avalara Global Analytics and Insights team and report directly to the Chief of Staff to the President. In this role, you will be responsible for providing analytical insights and recommendations to enable development and application of Avalara best practices in critical and complex areas of financial and operational metrics. You will be responsible to provide exceptional 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 and catalyze change for Avalara's customers, GTM teams, and Leadership.

This rare opportunity involves creative freedom in generating insights, stakeholder management across multiple global teams and direct influence on our roadmap. This highly visible role will make a significant contribution to the growth of our business.

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 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 across multiple business units
• Design and execute testing strategies for improving individual performance across channels
• Integrate data from all 3rd party sources and develop Machine Learning algorithms to build propensity and value models for different products and geographies

What You'll Need to be Successful

• Deep curiosity and collaborative work style
• 4+ years of relevant work experience in analyzing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations
• Experience in banking and financial modeling
• Data driven mindset with degree in a quantitative discipline such as Computer Science, Statistics, Engineering, or Mathematics
• Fluent in Python, SQL and Excel; experience with visualization tools such as PoweBI and building statistical models preferred
• Exceptional written and verbal communication skills to influence cross-functional teams
• Above all comfort with data ability to manipulate it, question its validity, interpret it, and develop recommendations based on it