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. Were committed to building

world-class technology and careers, and to creating a diverse, welcoming workplace.

Role summary

Were hiring a hands-on Product Analyst to join the Product Analytics team and support product

measurement across Demandbases 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 youll 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 were looking for (required)

25 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.