Sales Analyst

We act as the central nervous system for engineering, enabling platform teams to unify their stack and expose it as a governed layer through golden paths for developers and AI agents.
By combining rich engineering context, workflows, and actions, we help organizations transition from manual processes to autonomous, AI-assisted engineering workflows while maintaining control and accountability.
As a product-led company, we believe in building world-class platforms that fundamentally shape how modern engineering organizations operate.
About The Role
Were looking for an experienced Sales Analyst to partner closely with Sales Operations and act as a proactive analytical force across our GTM organization.
This role combines deep analytical ownership with ongoing responsibility for CRM data quality, ensuring that insights, forecasts, and decisions are built on reliable, trusted data.
This is not a reactive reporting role, it's for someone who actively monitors, analyzes, and improves the health of both our data and our sales performance.
About Your Day To Day

Proactively analyze sales pipeline, bookings, revenue, and funnel performance across segments, regions, and reps
Monitor pipeline health, coverage ratios, conversion rates, and forecast accuracy
Identify trends, anomalies, and risks and proactively surface them to Sales Ops and leadership
Own ongoing CRM data hygiene, including:
Monitoring data completeness, accuracy, and consistency
Identifying gaps or misuse in pipeline stages, deal fields, and forecasts
Partnering with Sales Ops to drive corrective actions with the sales team
Build and maintain analytical models to support:
Forecasting and scenario planning
Performance tracking and productivity analysis
Win/loss and deal level analysis
Work hands on with spreadsheets, BI tools, and data warehouses to transform raw data into actionable insights
Partner closely with Sales ops on planning cycles, QBRs, and strategic initiatives
Collaborate with RevOps, Finance to align definitions, metrics, and data sources
Translate complex data into clear narratives and recommendations for non technical stakeholders
How Success Will Look Like
CRM data is trusted, consistent, and decision ready
Pipeline and forecast accuracy improve quarter over quarter
Data quality issues are identified and addressed proactively, not discovered during QBRs or at quarter end
Leadership relies on your insights to guide sales strategy and execution
Sales Ops views you as a core partner in running the business
Analytical insights directly influence sales behavior and outcomes.