Business Intelligence Analyst

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