Business Intelligence Analyst

Role overview Avalara is seeking a Business Intelligence Analyst to provide analytical insights and recommendations that support customer lifecycle management and go-to-market strategy. The role develops scalable models, informs acquisition, product, and channel decisions, and uses AI and analytics to improve insight delivery and business outcomes.

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 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, and Customer Success teams on 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

• Go beyond descriptive reporting — synthesize disparate data points into a clear narrative and point of view that drives action, not just a dashboard that describes what happened

• Leverage AI tools (e.g., LLM-based assistants, Claude) to accelerate exploratory analysis, summarize findings, and draft first-pass narratives and recommendations for stakeholder review

• Identify repetitive, manual reporting and data-prep workflows and automate them using AI-powered tools, scripts, or agentic workflows — reducing turnaround time from days to hours

• Build and maintain lightweight AI-assisted workflows (e.g., prompt-driven data pulls, automated anomaly detection and alerting, AI-generated executive summaries) that scale insight delivery across the business

• Stay current on emerging AI/analytics tooling and proactively recommend where automation or AI can improve the speed, quality, or scale of the team's analytical output

• Preferred

• experience with visualization tools such as Power BI and building statistical models

• Working knowledge of how to automate recurring reporting or data workflows using AI/scripting (e.g., Python, low-code automation platforms, or AI agents)

• You'll bring experience using AI and AI-related technologies, ready to thrive here

• Power BI

• Data visualization

• Statistical modeling

• Reporting automation

• Data workflow automation

• AI technologies

• Scripting

• Python

• Low-code automation

• AI agents

Benefits

• Paid time off

• Paid parental leave

• Many Avalara employees are eligible for bonuses.

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

• A total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.

• Company

• Global tax compliance automation software platform

• Durham, North Carolina, USA

• http://www.avalara.com/

• Founded in 2004

• 5001-10000 employees

Qualifications

• 4+ years of relevant work experience in analyzing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations
• Data-driven mindset with a degree in a quantitative discipline such as Computer Science, Statistics, Engineering, or Mathematics
• Fluent in SQL and Excel
• Hands-on experience using AI tools (e.g., ChatGPT, Claude, Copilot, or similar) for data analysis, summarization, or workflow automation — not just as a novelty, but as a core part of how you work
• Comfort with prompt engineering and evaluating AI-generated output critically — knowing when to trust it, when to verify it, and when to do it yourself
• Exceptional written and verbal communication skills to influence cross-functional teams
• A bias toward insight over output — you're as comfortable challenging a stakeholder's question as you are answering it, and you default to “what should we do about this” rather than stopping at “here's what the data shows”
• Above all, comfort with data — the ability to manipulate it, question its validity, interpret it, and develop recommendations based on it
• This role does not provide sponsorship
• Experience with visualization tools such as Power BI and building statistical models
• Working knowledge of how to automate recurring reporting or data workflows using AI/scripting (e.g., Python, low-code automation platforms, or AI agents)
• You'll bring experience using AI and AI-related technologies, ready to thrive here

Required skills

• Represents the skills you have, click on the tags, SQL, Microsoft Excel, Power BI, Data Analysis, Statistical Modeling, ChatGPT, Claude, Microsoft Copilot

• Preferred skills

• Written and Verbal Communication

Experience

• 4+ years