Business Intelligence Analyst (I3) @ Avalara

What Youll 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 Avalaras customers. This rare opportunity involves creative freedom in generating insights, stakeholder management across multiple global teams and direct influence on our roadmap.

• 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

• 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

#LI-Onsite

Total Rewards

In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.

Health Wellness
Benefits vary by location but generally include private medical, life, and disability insurance.

Inclusive culture and diversity
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.

Learn more about our benefits by region here: Avalara North America

We re Avalara. We re defining the relationship between tax and tech.

We ve already built an industry-leading cloud compliance platform, processing nearly 40 billion customer API calls and over 5 million tax returns a year, and this year we became a billion-dollar business. Our growth is real, and we re not slowing down until we ve achieved our mission - to be part of every transaction in the world.

We re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we ve designed, that empowers our people to win. Ownership and achievement go hand in hand here. We instill passion in our people through the trust we place in them.

We ve been different from day one. Join us, and your career will be too.

We re An Equal Opportunity Employer

Supporting diversity and inclusion is a cornerstone of our company we don t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.

• 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

#LI-Onsite

• 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