GTM Insights & Analytics Lead

Wrapbook•,

1d•$110,400 - $174,400•Remote

About The Position

Wrapbook is a smart, intuitive platform that makes production payroll and accounting easier, faster, and more secure. We provide a unified payroll platform that seamlessly connects your entire team—production, accounting, cast, and crew—all in one place. Wrapbook empowers production teams to manage projects, pay cast and crew, track expenses, and generate data-driven insights, while enabling workers to manage timecards, track pay, and onboard to new projects from any device. Wrapbook brings clarity and dependability to production payroll, while increasing the productivity of your whole team. Trusted by companies of all sizes, Wrapbook powers payroll for some of the industry’s top production companies, including SMUGGLER, Tuff, and GhostRobot. Our growing team of 250+ people across the USA and Canada, including entertainment and technology experts from SAG-AFTRA, DGA, IATSE, Teamsters, Amazon, Microsoft, Facebook, and more. Wrapbook is backed by top-tier investors, including Jeffrey Katzenberg’s WndrCo, Andreessen Horowitz, and A Capital. We have raised $130M and are in a strong financial position. We are looking for a GTM Insights & Analytics Lead to serve as the horizontal analytical layer across Wrapbook's go-to-market organization. Reporting to the Head of Revenue Operations, you'll build the BI reporting infrastructure that equips Sales, Marketing, and Finance with self-serve, trusted data — and own the analytical workstreams that require connecting data across functions in ways no single ops role can do cleanly. Your work shows up in every pipeline review, every MBR, and every planning cycle because the infrastructure you build is what everyone in the room is looking at.

Requirements

Demonstrated track record in GTM analytics, revenue operations analytics, or business analytics within a B2B SaaS environment — with direct experience building reporting infrastructure that business partners use independently.
High proficiency in SQL and Python — defining the right question, structuring the logic to answer it, validating output, and maintaining it as underlying data or business definitions change.
Hands-on experience building dashboards and models in Tableau, Omni, Looker, or an equivalent BI platform.
Familiarity with Salesforce data models and object relationships as source inputs to Snowflake/dbt pipelines — leads, contacts, accounts, opportunities, campaigns, and activities.
Experience partnering with Finance on planning analytics — quota calibration, capacity modeling, and scenario analysis.
The ability to see horizontally across Sales, Marketing, and Finance data and identify patterns and connections that vertical ops roles miss.
Strong communication skills — you translate complex analysis into clear, decision-ready narrative for Sales leadership, Marketing, and the C-suite.

Nice To Haves

Experience with Marketo, Outreach, dbt, or modern data stack tooling (Snowflake, Fivetran, or equivalent).

Responsibilities

Build and maintain the core BI dashboard suite that gives Sales and Marketing self-serve, real-time visibility into pipeline health, funnel conversion, segment-level coverage, campaign contribution, rep attainment, and loss analysis.
Own the GTM data dictionary — metric definitions, filter logic, and calculation rules — and maintain it as the authoritative source of truth across Marketing, Sales, and Finance.
Own the analytical layer of the GTM forecast process: historical conversion rates, pipeline coverage analysis, stage-weighted modeling, and forecast variance diagnosis.
Lead annual bookings planning analysis — historical win rates, segment-level capacity modeling, coverage assessments, and quota calibration inputs — and partner with Strategic Finance on revenue forecasting and GTM investment analysis.
Build scenario models for pricing, segmentation, and GTM structure decisions as needed by RevOps and Sales leadership.
Track campaign performance relative to pipeline contribution goals by segment; surface what's generating pipeline, what isn't, and where investment is misallocated.
Partner with Analytics Engineering to ensure GTM data from Salesforce, Marketo, and adjacent systems is correctly modeled in the data warehouse — flag gaps, validate logic, and escalate data quality issues.
Lead ad-hoc analytical projects supporting key company initiatives: segmentation analysis, market sizing, cohort analysis, win/loss diagnostics, and product-GTM intersection analysis.