Senior Product Analyst, Self Serve (Remote, US Timezones)

This is a remote role for the US timezones

What are we looking for?

We are looking for a Senior Product Analyst who can lead our analytics efforts around onboarding and product-led growth (PLG). This role will be a foundational member in our growing product analytics team, and partner directly with our VP of Self-Serve. More tactically, you will be a thought partner to our Self-Serve team, helping to sift through product and event data to help uncover developer behaviors that are most correlated to activation, engagement, and retention in Grafana Cloud. To be successful, you should be able to operate in an unstructured, fast paced environment and look forward to building the foundations for our future growth.

What will I be doing?

• Partner cross functionally across Self-Serve (i.e. Growth PM, Growth Engineering, and PLG teams) to establish top-level KPIs, dashboards, and growth product roadmap planning
• Help drive growth and adoption in Grafana Cloud by identifying opportunities to make the product more intuitive
• Play a key role in the implementation of our product analytics tooling (e.g., Rudderstack, FullStory), and our A/B testing experimentation efforts
• Develop dbt models to transform and test our growth data in partnership with our Business Data team (i.e. Analytics Engineering)
• Work closely with Self-Serve leadership to prepare thoughtful analysis and insights for senior leadership

What skills and experience do I need?

• 7+ years of experience in a product or analytics organization, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, Funnel analysis, A/B testing)
• SQL: writing complex yet efficient SQL is a daily habit for you
• Data Visualization: experience with any of the following tools Tableau, Looker, Mode, Hex, or of course, Grafana!
• Experience getting your hands dirty with ETL / data engineering and deeply familiar with popular data warehouses (BigQuery, Snowflake, etc)
• Experience with the following: DBT, Product Analytics tools (e.g., Heap, Pendo, Amplitude, FullStory)
• Excellent communication skills with executive audiences- explain “what it is”, “why it matters” and “what should we do” in terms of your data and analysis; deliver customer-oriented KPIs and dashboards in order to ensure alignment with those audiences
• Previous experience with Grafana visualization, or a desire to invest the time to learn

A plus if you have the following

• Knowledge about observability
• Python / R / Julia - familiar with statistical and machine learning packages
• Familiarity with Airflow or Prefect - generating ad hoc ETL jobs

In the United States, the Base (OTE for commission positions) compensation range for this role is $116,000 - $140,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here