Product Analyst

About Demandbase Demandbase is the Smarter GTM™ company for B2B brands. We help B2B organizations align sales and marketing around Account Intelligence — combining customer data, our data, and AI — to identify and engage the accounts most likely to buy. We’re committed to building world-class technology and careers, and to creating a diverse, welcoming workplace.

Role summary We’re hiring a hands-on Product Analyst to join the Product Analytics team and support product measurement across Demandbase’s product portfolio. The analyst will partner with PMs, engineers, data science, UX, and GTM teams to design experiments, define success, build reliable metrics and dashboards, and translate mixed-method research into prioritized product recommendations. This is an execution-first role: own analyses, instrumentation checks, cohort work, experiment review, and core analytics tooling maintenance while helping scale measurement practices across products.

What you’ll do ● Support product measurement across all products: Work with the Product Analytics team and product teams to translate strategy into OKRs, hypotheses, and a practical metric set (adoption, engagement, and business impact). ● Design & analyze experiments: Own experiment setup, power calculations, metric definitions, and post-test analysis for A/B tests and quasi-experimental designs. ● Product analytics & tooling: Build and maintain repeatable datasets, dashboards, and reports (Looker/Fullstory). Validate event instrumentation and help standardize event schemas and metric definitions. Maintain FullStory (administration, session replay hygiene, segment management, and collaboration with teams to ensure useful session data). ● Business strategy partnership with PMs: Act as a strategic analytics partner to product managers — help translate company and product strategy into measurable objectives, prioritize initiatives based on impact and effort, identify leading indicators that link product activity to business outcomes, and present tradeoffs and recommendations that inform roadmaps. ● Mixed-methods research: Combine quantitative analysis (funnels, cohorts, time-to-action, conversion metrics) with qualitative research (usability tests, stakeholder interviews) to surface root causes and product opportunities. ● Cross-functional partnership: Communicate findings clearly to PMs, engineering, UX, data science, sales, and CS.

Help teams prioritize experiments and operationalize successful changes. ● Operationalize best practices: Help document and scale measurement standards and experiment playbooks so product teams can move faster with consistent metrics and Clarity. What we’re looking for (required) ● 2–5 years in product analytics, data analysis, or experimentation in a B2B SaaS environment. ● Strong analytical judgment and business-strategy thinking. Able to frame analyses in terms of product and company goals and advise PMs on prioritization and tradeoffs. ● Comfortable with SQL and able to produce reproducible datasets.. ● Experience designing and analyzing A/B tests and other causal evaluation methods. ● Experience maintaining or administering product observability tools (FullStory or equivalent) and creating dashboards/reports in Looker/Power BI/Tableau. ● Clear communicator who can present technical analysis in a concise, collaborative way and translate findings into strategic recommendations.

Nice-to-haves ● Familiarity with instrumentation platforms and downstream data pipelines. ● Prior work with data science teams on model evaluation and monitoring.