GTM Data Analyst

San Franciscofull timeOn Site

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Netic GTM Data Analyst owns the go-to-market data model and standards, builds the total addressable market model, and ensures data quality for territories, routing, forecasting, and commissions. The role combines SQL modeling with operational process improvements.

Responsibilities

You'll be Netic's first dedicated go-to-market data hire. Nobody owns our account and contact data end to end yet: you will. You'll define the data standards, build the models and checks that keep them accurate, and give the team a foundation for territories, routing, forecasting and commissions.
This is an analyst role with operational ownership. You'll spend as much time writing SQL and building models as you do fixing the processes that create bad data in the first place.
Own the GTM data model: define account, contact and hierarchy standards (parent companies, multi-location operators, PE-backed roll-ups), required fields at each stage, and the rules for creating, matching and merging records.
Build our total addressable market model: map every home services business by trade, geography and location count, score it, and keep it in sync with Salesforce.
Design and run enrichment workflows that keep firmographics and decision-maker contacts current, and measure the coverage and accuracy of each data source.
Define data quality metrics (duplicate rate, field completeness, match rate) and build the dashboards and alerts that catch bad data before it reaches a forecast or a commission statement.
Maintain the data behind territory assignments and lead routing, and give Sales Ops the evidence to resolve ownership disputes.
Run analyses that answer GTM questions: which segments convert, where coverage is thin, and which accounts we're missing.
Automate recurring cleanup and validation with our Sales Systems engineer, so hygiene runs as a system instead of a project.
What success looks like in year one
A documented standard for accounts, contacts and hierarchies that every team follows.
A TAM model the sales team uses to plan territories and prioritize accounts.

Qualification

2+ years in sales operationsPython is a plusSolid grasp of Salesforce object modelExperience with ZoomInfoFamiliarity with BI tools (LookerObsess over the customerEvery second countsSweat the detailsThere are no blockersBe self-directed

Required

2+ years in sales operations, revenue operations, marketing operations or data analytics at a B2B company
Strong SQL and advanced Excel or Google Sheets
Python is a plus
Hands-on Salesforce data experience (Data Loader, Workbench or a dedupe tool)
Solid grasp of Salesforce object model

Preferred

Experience with ZoomInfo, Clay, Apollo, LeanData, Cloudingo or DemandTools.
Familiarity with BI tools (Looker, Tableau, Hex) or a data warehouse (Snowflake, BigQuery).
Experience using AI coding assistants to automate data work.
Obsess over the customer
Every second counts
Sweat the details
There are no blockers
Be self-directed

Company

Netic

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Source: ashby

Active within the past hour

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Must-Have Skills for This Role

SQLExcelGoogle SheetsPythonSalesforceData Loader

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