Jungle Scout is hiring a Senior Analytics Engineer

Jungle Scout is looking for a Senior Analytics Engineer to own and evolve our analytics and business intelligence infrastructure. You will design and maintain a modern data stack using Snowflake, dbt, and Power BI, establish governance in our data warehouse, and deliver dashboards that enable data-driven decision-making and AI-readiness company-wide.

What You'll Do

• Own the design, build, and maintenance of a modern data stack (Snowflake + dbt + Power BI) that delivers reliable, scalable data models and dashboards.
• Enable self-service analytics, data-driven decision-making, and AI-readiness across the company.
• Build and maintain an efficient, reliable analytics stack that scales with the business.
• Enable company leaders with the visibility they need to grow their teams and meet objectives.
• Establish trusted, consistent definitions for core SaaS metrics (ARR, NRR, retention, pipeline, etc.).
• Improve reliability and reduce data issues through testing, documentation, and monitoring.
• Partner with GTM, RevOps, Finance, and Product teams to make data a competitive advantage.
• Proactively identify and resolve data integrity, model, and dashboard issues before they impact stakeholders.

What We're Looking For

• Bachelor’s degree in a relevant technical or quantitative discipline (e.g., computer science, statistics, economics, applied math), or equivalent work experience.
• 5+ years in business intelligence, analytics engineering, data engineering, analytics, data science, or a data-focused role.
• Experience in a high-growth, fast-moving B2B SaaS or technology company.
• Experience owning analytics deliverables end-to-end, including stakeholder-facing dashboards and scalable data models.
• Advanced SQL proficiency to write and optimize performant, complex queries on large data sets.
• Strong cloud data warehouse and data modeling experience (Snowflake and dbt).
• Deep understanding of ETL/ELT workflows to build and maintain efficient data pipelines from many business data sources (Stitch).
• Excellent data visualization and dashboard development skills (Power BI).
• Experience building scalable semantic layers and defining trusted metrics (e.g., reusable measures, standardized definitions).
• Intermediate experience with Python and/or R for scripting, automation, and data manipulation.
• Exposure to version control in Git/GitHub and bash/command line workflows.
• Familiarity with cloud architecture fundamentals (AWS - e.g., S3, EC2, Lambda).
• Experience leveraging AI/LLM tools to accelerate analytics workflows, improve insight quality, and enable faster decision-making.
• Understanding of SaaS metrics (ARR, NRR, retention, pipeline, CAC, activation, etc.) and how data supports strategic decision-making.

Nice to Have

• Experience with data quality monitoring, alerting, and analytics observability tooling.
• Experience supporting self-service analytics across multiple business functions.

Technical Stack

• Snowflake, dbt, Power BI, Stitch, SQL, Python, R, Git/GitHub, AWS (S3, EC2, Lambda)

Team & Environment

You will partner with GTM, RevOps, Finance, and Product teams.

Benefits & Compensation

• Flexible Time Off with generous PTO, recognition of local holidays, and Volunteer Time Off (VTO).
• Comprehensive Health Benefits & Retirement Program with matching plans.
• Paid Parental Leave Policy with a ramp-back period.
• Competitive compensation packages with bonus tied to performance and Equity.
• Growth culture with opportunities for exposure and training.

Work Mode

This is a hybrid role open to candidates in Canada (excluding Quebec) - PST to EST time zones, with Chicago, IL preferred.

Jungle Scout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.