Data Analyst

About Alpine IQ

Alpine IQ (AIQ) was founded in 2019 to bring clarity and compliance to customer data in highly regulated industries. What began as a solution for the legal cannabis market has grown into a powerful platform used by brands and retailers of all sizes—from family-run shops to public enterprises.

We’re a fully remote team of builders, driven by curiosity and a passion for solving complex problems with elegant tools. Our products simplify operations, empower smarter decisions, and help businesses connect with customers in meaningful ways.

If you're energized by fast-moving environments, creative challenges, and impactful work, you’ll fit right in.

About the Role

We are seeking a Data Analyst who will transform complex customer, product, and revenue data into actionable insights that shape our product roadmap and business strategy. You’ll partner closely with Product, Customer Success, Engineering, and Revenue teams to ensure data accuracy, build analytic models, and uncover opportunities that accelerate product adoption and success.

This role is perfect for someone who is curious, analytical, and excited to help modernize how regulated industries connect with their customers.

What You’ll Do

✅ Own data analysis across core product initiatives and customer experience metrics
✅ Build dashboards, reporting models, and KPIs that influence product decisions
✅ Conduct deep-dive analyses into product usage trends, feature performance, churn, and customer behavior
✅ Develop and maintain data pipelines needed for reporting and analytics
✅ Partner with Product to evaluate experiments and validate success criteria
✅ Clean, transform, and QA data to ensure high integrity and accessibility
✅ Collaborate with teams to translate insights into clear business recommendations
✅ Support leadership with forecasting and strategic data needs
✅ Help drive the maturity of Alpine IQ’s analytics function over time

What You Bring

2–5 years experience in data analytics (preferably SaaS / product-focused)
Strong SQL skills and comfort working with relational databases
Experience with BI tools (e.g., Looker, Tableau, Power BI, or similar)
Proven ability to collaborate with product and engineering teams
A love of problem-solving and turning data into compelling stories
Excellent communication skills and ability to influence decisions with data
Bonus: Knowledge of Python or R for statistical work
Bonus: Familiarity with SaaS metrics (LTV, churn, activation analysis, etc.)
Bonus: Exposure to compliance-heavy or retail data environments

What We Offer

100% Remote work environment
Flexible PTO
Competitive medical, dental & vision benefits
401(k) with company match
Home office benefit
Paid parental leave
Company-issued laptop and equipment
A fast-paced, high-impact role with room to grow

✨ Join Us

If you’re excited about working in a high-growth SaaS company where your insights will shape product strategy and customer success, we’d love to meet you.

The pay range for this role is:
85,000 - 95,000 USD per year(Remote (Dallas, Texas, US))