Analytics Analyst II

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At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI‑driven commerce ecosystem. As the parent company of Big Commerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever‑changing market.

Simply said, we help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers, working together to shape the future of commerce, this is the place for you.

We are seeking an analytical problem‑solver with exceptional interpersonal savvy and consultative skills with the proven ability to translate complex business and technical problems into simplified solutions. This person will have a critical seat at the table in developing efficient and scalable solutions. You are motivated by big growth opportunities that require large‑scale changes, are enthusiastic about solving ambiguous problems, and are eager to share your perspective and your knowledge with others.

• Develop and maintain interactive Tableau dashboards and reports that visualize key metrics and drive operational visibility.
• Analyze large datasets using SQL and Python to uncover clear actionable insights that inform product, marketing, and operations teams.
• Contribute to forecasting and predictive analysis (e.g. customer churn, usage trends, and revenue projections) in partnership with senior analysts.
• Effectively communicate insights and model results to both technical and non‑technical stakeholders, simplifying complex analyses into actionable takeaways.
• Collaborate with Data Solutions and other technical teams to enhance data infrastructure and ensure model reproducibility and scalability.
• Consistently enhance and document analytical workflows, fostering a culture of process improvement and knowledge sharing.

• 2–4 years of experience in data analysis, applied statistics, or data science.
• Strong proficiency in SQL and data visualization tools (Tableau, Power BI, or similar).
• Experience working with large datasets and joining/transforming data from multiple sources.
• Comfortable using Python or R for data manipulation, basic statistical analysis, or lightweight modeling (forecasting, regression, clustering).
• A bachelor’s degree in a quantitative field (Statistics, Data Science, Computer Science, Math, Finance, Economics, or similar) or equivalent work experience.
• A strong communicator, able to translate quantitative insights into clear, compelling narratives.
• Detail‑oriented and committed to accuracy and quality in all aspects of data work.
• Enthusiastic about learning new tools and techniques, and adapting to evolving business needs.
• Self‑motivated, proactive, and comfortable working in a collaborative team environment.
• A problem‑solver who can tackle ambiguity and work independently to deliver results.
• Experience with eCommerce or SaaS metrics is a plus.
• Exposure to forecasting, regression, or churn modeling techniques.
• Basic understanding of A/B testing and experimentation concepts.
• Experience collaborating with data engineering or data science teams to build scalable analytics solutions.

Pay Transparency Range: $68,000-$115,000

At Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions and to receive other benefits and privileges of employment.

If you need an accommodation in order to interview at Commerce, please let us know during any of your interactions with our recruiting team.