What You’ll Do Avalara is seeking a business-savvy, action-oriented analytics leader to join the Global Analytics and Insights team as Data and Analytics Engineer. The Data and Analytics Engineer. is a hands-on, highly analytical who partners with EMEA GTM leadership, Finance, and the global Business Analytics function to drive sales efficiency, pipeline growth, and forecasting accuracy across the region. This role serves as the analytical backbone for EMEA GTM Operations, responsible for translating complex regional data into actionable insights, forecasts, and reporting that enable predictable, efficient revenue growth. Aligned with Avalara's increasing focus on AI-powered decisioning, automation, and intelligent workflows, this role will help embed advanced analytics and AI into core EMEA GTM processes, driving smarter, faster, and more scalable revenue execution across the region. The ideal candidate brings 5–7 years of experience in SaaS GTM analytics, sales analytics, or business intelligence, with strong forecasting fundamentals and hands-on experience with modern data and GTM tooling (e.g., Salesforce, data warehouses, BI and AI-enabled platforms). What Your Responsibilities Will Be GTM Performance Insights, BI & Self-Service Analytics Localize and maintain the global KPI framework for EMEA sales performance, incorporating predictive and prescriptive metrics alongside standard reporting. Build and maintain leadership-ready presentations and analytics environments that provide visibility into EMEA funnel conversion and velocity, pipeline and bookings health, and sales productivity. Champion self-service analytics and data democratization within the EMEA GTM organization, equipping regional teams with intuitive, insight-rich tools. Analyze EMEA quota attainment and productivity trends, providing recommendations for resource optimization and coverage adjustments to regional leadership. Sales Analytics, Forecasting & AI-Driven Insights Own regional forecasting analytics, building and maintaining models to predict bookings, renewals, churn, and expansion across EMEA segments and markets. Continuously improve forecasting precision through automation and incorporation of regional behavioral and market signals, in partnership with the global analytics team. Support end-to-end funnel analytics for EMEA, from pipeline creation through closed-won and retention, identifying regional conversion drivers and leakage risks. Maintain frameworks to measure EMEA pipeline health, velocity, and quality, leveraging AI-driven scoring (e.g., deal likelihood, pipeline risk, next-best-action signals) developed by the global team. Analyze regional sales cycle dynamics, deal progression patterns, and win/loss drivers to surface actionable trends for EMEA leadership. Partner with EMEA Sales, Marketing, and Customer Success to translate insights into regional GTM plays, prioritization models, and workflow automation. Ensure EMEA reporting aligns with global funnel metric definitions and governance standards while capturing region-specific nuances (currency, local compliance, market maturity). What You'll Need to be Successful 7–10+ years of experience in Sales Analytics, Data Science, or Business Intelligence in a high-growth SaaS environment, ideally with regional or multi-market exposure. Experience applying AI/ML techniques or working with AI-enabled tools to support forecasting, customer analytics, or GTM optimization. Strong proficiency in analytics and data tools (e.g., SQL, Python/R, BI tools such as Tableau, Looker, or Power BI). Familiarity with modern data stack architectures (data warehouses, ETL pipelines) and AI-enabled platforms. Strong understanding of SaaS metrics (ARR, NRR, CAC, LTV, pipeline coverage, etc.) and how regional dynamics (currency, market maturity, local compliance) affect them. Experience managing or mentoring analysts and partnering closely with regional sales and CS leadership. Exceptional ability to translate complex data into clear, actionable insights for regional leadership audiences. Avalara is an AI-first Company AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability. You’ll bring experience using AI and AI-related technologies, ready to thrive here. You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers. You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too. How We'll Take Care of You 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. What You Need To Know About Avalara We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - 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. 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. GTM Performance Insights, BI & Self-Service Analytics Localize and maintain the global KPI framework for EMEA sales performance, incorporating predictive and prescriptive metrics alongside standard reporting. Build and maintain leadership-ready presentations and analytics environments that provide visibility into EMEA funnel conversion and velocity, pipeline and bookings health, and sales productivity. Champion self-service analytics and data democratization within the EMEA GTM organization, equipping regional teams with intuitive, insight-rich tools. Analyze EMEA quota attainment and productivity trends, providing recommendations for resource optimization and coverage adjustments to regional leadership. Sales Analytics, Forecasting & AI-Driven Insights Own regional forecasting analytics, building and maintaining models to predict bookings, renewals, churn, and expansion across EMEA segments and markets. Continuously improve forecasting precision through automation and incorporation of regional behavioral and market signals, in partnership with the global analytics team. Support end-to-end funnel analytics for EMEA, from pipeline creation through closed-won and retention, identifying regional conversion drivers and leakage risks. Maintain frameworks to measure EMEA pipeline health, velocity, and quality, leveraging AI-driven scoring (e.g., deal likelihood, pipeline risk, next-best-action signals) developed by the global team. Analyze regional sales cycle dynamics, deal progression patterns, and win/loss drivers to surface actionable trends for EMEA leadership. Partner with EMEA Sales, Marketing, and Customer Success to translate insights into regional GTM plays, prioritization models, and workflow automation. Ensure EMEA reporting aligns with global funnel metric definitions and governance standards while capturing region-specific nuances (currency, local compliance, market maturity). 7–10+ years of experience in Sales Analytics, Data Science, or Business Intelligence in a high-growth SaaS environment, ideally with regional or multi-market exposure. Experience applying AI/ML techniques or working with AI-enabled tools to support forecasting, customer analytics, or GTM optimization. Strong proficiency in analytics and data tools (e.g., SQL, Python/R, BI tools such as Tableau, Looker, or Power BI). Familiarity with modern data stack architectures (data warehouses, ETL pipelines) and AI-enabled platforms. Strong understanding of SaaS metrics (ARR, NRR, CAC, LTV, pipeline coverage, etc.) and how regional dynamics (currency, market maturity, local compliance) affect them. Experience managing or mentoring analysts and partnering closely with regional sales and CS leadership. Exceptional ability to translate complex data into clear, actionable insights for regional leadership audiences.
