[Hiring] Staff Product Analyst REMOTE USA
Position: Staff Product Analyst
Date Posted: 23 January 2026
Industry: Data Analytics / Software / Technology
Employment Type: Full Time
Experience: Not Specified
Qualification: Estimated Bachelor’s degree in Data Analytics, Computer Science, Statistics, or a related field
Salary: $162,275 – $194,730
Location: United States – REMOTE
Company: Grafana Labs
Description:
Grafana Labs is a remote-first, open-source software company trusted by over 20 million users worldwide. The company’s visualization tool, Grafana, is used to monitor diverse data streams—from beehives to climate change—and its dashboards have been featured in organizations like NASA, Minecraft HQ, Wimbledon, and the Tour de France. Grafana Labs serves over 3,000 companies, including Bloomberg, JPMorgan Chase, and eBay, through its Grafana LGTM Stack, available as a managed service with Grafana Cloud or self-managed with Grafana Enterprise Stack, covering scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).
We value an open-source legacy, global collaboration, and meaningful work. The company fosters an innovation-driven environment built on transparency, autonomy, and trust.
We are seeking a Staff Product Analyst to join our expanding data team. This role will focus on implementing Product Analytics tools (e.g., FullStory, Rudderstack), guiding product strategy, and helping prioritize the product roadmap through data-driven insights. The role partners closely with R&D, particularly the Product Design department, and reports to the Head of Data.
Responsibilities:
• Partner across Product teams to establish KPIs, dashboards, and product roadmap priorities
• Guide product data instrumentation in collaboration with Product Design, Product Management, and Engineering
• Enable and scale the use of Product Analytics tools to understand user behavior, pain points, and opportunities
• Develop dbt models to transform and validate user behavior data with the Analytics Engineering team
• Influence best practices and standards for Product Analytics as the company scales
• Contribute to defining long-term Product Analytics strategy, balancing immediate needs with scalable solutions
Requirements / Skills:
• Experience collaborating across product and engineering teams with familiarity of typical product KPIs (DAU/MAU, funnels, A/B testing)
• Proficiency in writing complex and efficient SQL queries
• Experience with data visualization tools such as Tableau, Looker, Omni, Hex, or Grafana
• Skilled in writing dbt models, implementing Product Analytics tools (Heap, Pendo, Amplitude, FullStory), and version control with Git
• Experience using AI-assisted coding tools for analysis, data modeling, instrumentation, visualization, and prototyping
• Strong communication skills for explaining technical concepts to non-technical stakeholders
• Ability to maintain cross-functional relationships and support team success
Bonus Points:
• Knowledge of observability practices
• Familiarity with Airflow or Prefect for ad hoc ETL jobs
Compensation includes base salary within the range of $162,275 – $194,730, plus Restricted Stock Units (RSUs) to share in the company’s success. Actual compensation varies based on experience, level, and skillset.
Why You’ll Thrive at Grafana Labs:
• 100% Remote, global culture with collaborative and innovative environment
• Career growth opportunities with defined pathways
• Transparent leadership and communication
• Open-source values guiding work culture
• Empowered teams with autonomy and outcome-focused approach
• In-person onboarding for new team members
• Global annual leave policy of 30 days, including 3 Grafana Shutdown Days
Grafana Labs is an Equal Opportunity Employer committed to diversity, equity, and inclusion in every aspect of employment.
Disclaimer: The job details above are structured for clarity and based on publicly available content from recruiters/Company pages. All rights remain with the original source; names may be withheld for confidentiality. We are not involved in the hiring process.
