Data Analyst

Location: Remote, United States

Employment type: Full-time

Base salary: USD $120,000-$148,000 for San Francisco, New York City, and Seattle; USD $115,000-$135,000 elsewhere in the United States.

Turn go-to-market data into decisions

Build the marketing and go-to-market analytics function at a voice AI technology company. As the first analyst dedicated to this area, you will establish reporting, define performance metrics, and help teams understand what is working and where to invest next.

You will partner with the Director of Marketing Operations on weekly leadership reporting and collaborate with Decision Intelligence and Data Engineering on AI analytics agents and reliable GTM datasets. Your work will support Marketing, Product, Sales Development, Account Executives, Partnerships, and Revenue Operations.

What you will build and measure

• Automate recurring analytics through AI agents for weekly reporting, campaign and sales play analysis, scoring-model checks, and anomaly alerts.
• Write evaluation cases, validate agent outputs, and provide the business context needed for accurate analysis.
• Own marketing and GTM KPI definitions, calculation logic, and weekly reporting, explaining what changed and why.
• Measure campaigns and sales plays from first touch through closed-won using pre/post and cohort analysis to recommend what to scale, improve, or stop.
• Create reusable reporting templates with consistent definitions, time windows, and attribution rules.
• Own Dreamdata and improve multi-touch attribution, sourcing rules, SDR credit, and partner attribution.
• Reconcile attribution with Salesforce and HubSpot data and translate findings into budget recommendations.
• Evaluate and improve marketing-qualified lead, product-qualified lead, and account intent scoring models, monitoring precision, coverage, and conversion lift.
• Report on partner-sourced and influenced pipeline, co-marketing results, and performance by partner tier.
• Define trusted GTM datasets with technical partners, document semantic context, and resolve data quality issues at their source.

Core analytical capabilities

• Ability to turn ambiguous business requests into clear, answerable questions and challenge assumptions constructively.
• Understanding of the B2B funnel and how marketing, product-led growth, partnerships, sales development, and account executive activities interact.
• Strong SQL skills for warehouse analysis and working across Salesforce objects, including leads, contacts, campaigns, campaign members, opportunities, and custom objects.
• Experience reconciling inconsistent data across systems and establishing reliable reporting logic.
• Experience owning or improving multi-touch attribution and reconciling it with CRM data.
• Ability to evaluate or tune lead, product-qualified lead, or account scoring models and measure their impact on conversion.
• Experience building AI agents or automated analytics workflows using tools such as Claude Code, MCP servers, or n8n.
• Ability to build actionable BI dashboards and recurring reports with clear narratives for leadership.
• Experience maintaining consistent KPI definitions across teams and systems.

Experience that would be helpful

• Approximately 3-5 years in marketing, GTM, revenue analytics, or a similar analytical role at a B2B SaaS company, or equivalent demonstrated experience.
• Hands-on experience with Dreamdata, HockeyStack, Bizible, or a similar attribution platform, alongside HubSpot and Salesforce reporting.
• Python skills and experience with dbt, semantic layers, or metric stores.
• Experience with intent data or partner attribution.
• Experience in a usage-based, developer-focused, or product-led business.

Working with AI

You will be expected to design workflows that automate recurring work, verify the results, and remain accountable for every output. During interviews, be prepared to discuss a workflow you built and explain where you applied your own judgment alongside AI.