Grafana Labs seeks a Staff Product Analyst to partner with Product, Design, Engineering, and Data teams to define KPIs, guide instrumentation, design and evaluate experiments, build dbt models, and translate analytics into product recommendations for AI-powered experiences. The role is remote and targets candidates located in the UK, Germany, Sweden, or Spain. UK base compensation range: £91,755–£110,106 per year.

Remote Staff Product Analyst role partnering with Product, Design, Engineering, and Data to measure success of AI-powered experiences (Grafana Assistant, Investigations, AI observability). Responsibilities include defining KPIs and dashboards, guiding instrumentation, designing and evaluating experiments, building dbt models, and influencing product analytics best practices.

Remote Staff Product Analyst role focused on product analytics for AI-powered experiences (Grafana Assistant, Investigations, Agent Observability). Responsibilities include defining success metrics and KPIs, guiding instrumentation and experiment design, developing dbt models with Analytics Engineering, building dashboards, and influencing analytics best practices across Product, Design, and Engineering.

Staff Product Analyst role on Grafana’s Product Analytics team focused on AI product experiences (Grafana Assistant, Investigations, AI observability). Responsibilities include defining KPIs, guiding instrumentation, designing and evaluating experiments, building dbt models with Analytics Engineering, and translating data into product recommendations. Key skills: advanced SQL, dbt, data visualization, A/B testing, analytics tooling and git; familiarity with observability and Airflow/Prefect is a plus.

Parexel seeks a Senior Associate with a Master's/PhD and at least 3 years' experience in pharma, consultancy, HTA/access, or academia. The role involves designing evidence-generation plans, conducting statistical analyses (e.g., GLMs, survival analysis, NMA, Bayesian methods), developing technical documentation and economic models, and contributing to cross-functional Access/HTA strategies. Proficiency in R and GitLab is required; familiarity with SAS, Python, WinBUGS, or JAGS is a plus.