Business Intelligence Analyst

Avalara • UNAVAILABLE, UNAVAILABLE

10d

About The Position

Avalara is seeking a business-savvy, action-oriented, and technically curious Business Intelligence Analyst to join the Global Analytics and Insights team. The role provides analytical insights and recommendations that support best practices in customer lifecycle management and inform go-to-market strategy, scalable models, acquisitions, product decisions, and channel decisions. The analyst will work across global teams, manage stakeholders, and influence the company roadmap.

The position combines business knowledge, statistics, exploratory data analysis, and practical use of AI tools. The analyst will use AI to accelerate analysis, uncover insights, automate repetitive work, and create more time for strategic thinking. This highly visible role contributes to business growth by translating data into clear recommendations and action.

Avalara describes itself as an AI-first company. The successful candidate will use AI in day-to-day business problem-solving, contribute solutions that improve efficiency and results, stay current on emerging tools and practices, and share knowledge with colleagues. The role does not provide sponsorship.

Requirements

• At least 4 years of relevant experience analyzing large, multidimensional datasets and synthesizing insights into actionable recommendations.
• A degree in a quantitative discipline such as Computer Science, Statistics, Engineering, or Mathematics.
• Fluency in SQL and Excel.
• Hands-on experience using AI tools such as ChatGPT, Claude, or Copilot for data analysis, summarization, or workflow automation as a core part of work.
• Comfort with prompt engineering and critically evaluating AI-generated output, including knowing when to verify it or perform the work independently.
• Exceptional written and verbal communication skills to influence cross-functional teams.
• A data-driven mindset and comfort manipulating data, questioning its validity, interpreting it, and developing recommendations.
• A bias toward insight and action, including comfort challenging a stakeholder's question and focusing on what should be done in response to the data.

Nice To Haves

• Experience with data visualization tools such as Power BI.
• Experience building statistical models.
• Working knowledge of automating recurring reports or data workflows using AI or scripting, such as Python, low-code automation platforms, or AI agents.

Responsibilities

• 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 improve operational efficiency.
• Collaborate with business stakeholders to understand data needs and translate requirements into analytical solutions.
• Conduct data validation and quality assurance to ensure reports and analyses are accurate, complete, and reliable.
• Work cross-functionally with Marketing, Strategy, and Customer Success on Sales and Marketing programs and initiatives, making clear recommendations based on test results.
• Provide analytical deep dives and monitor and optimize performance across multiple business units.
• Design and execute testing strategies to improve performance across channels.
• Integrate data from third-party sources and develop machine learning algorithms for propensity and value models across products and geographies.
• Synthesize disparate data into narratives and points of view that drive action, rather than only producing descriptive reports or dashboards.
• Use AI tools, including LLM-based assistants, to accelerate exploratory analysis, summarize findings, and draft initial narratives and recommendations for stakeholder review.
• Identify and automate repetitive manual reporting and data-preparation workflows using AI-powered tools, scripts, or agentic workflows.
• Build and maintain lightweight AI-assisted workflows, such as prompt-driven data pulls, automated anomaly detection and alerting, and AI-generated executive summaries.
• Stay current on AI and analytics tools and recommend opportunities to improve the speed, quality, or scale of analytical output.
• Apply AI to business challenges, contribute solutions, and share learnings about emerging trends and best practices.

Benefits

• Compensation package
• Paid time off
• Paid parental leave
• Bonuses for many eligible employees
• Private medical insurance (benefits vary by location)
• Life insurance (benefits vary by location)
• Disability insurance (benefits vary by location)
• Eight employee-run resource groups with senior leadership and executive sponsorship

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level