Go-To-Market Data Analyst

Knak

2d•$120,000 - $150,000

About The Position

Knak is hiring a Go-To-Market Analyst to support decision-making across go-to-market functions: marketing, revenue operations, sales, and finance. This is not a narrow campaign-reporting role. The person in this seat will be trusted with questions that span the full funnel, from lead generation and performance marketing through pipeline and revenue outcomes. We are looking for someone who understands the marketing domain (lead generation, campaign performance, attribution, funnel metrics) as well as someone who can operate as a business analyst across departments. Candidates should be comfortable moving between "why did this campaign underperform" and "how does this connect to sales pipeline and finance targets."

Requirements

3 to 5 years of experience in an analyst role, ideally with exposure to marketing, sales, or revenue operations data
Working knowledge of marketing concepts: lead generation, performance marketing, campaign attribution, funnel and conversion metrics
Strong SQL skills and comfort working directly with data rather than only pre-built dashboards
Working knowledge of CRM (Salesforce preferred) schema and objects
Familiarity with paid ad platform data such as Google Ads and LinkedIn Ads
Experience with Tableau or an equivalent BI tool (Looker, Power BI, or similar)
Ability to work across departments and communicate with stakeholders who have different priorities and levels of technical fluency
Comfort with ambiguity. Not every question will come pre-defined

Nice To Haves

Experience with Snowflake or a similar cloud data warehouse
Familiarity with marketing automation or CRM platforms (Salesforce, HubSpot, Marketo, or similar)
Prior experience in a B2B SaaS environment

Responsibilities

Analyze marketing performance across channels and campaigns, including lead generation and performance marketing metrics
Build and maintain reporting that connects marketing activity to sales pipeline, revenue, and finance outcomes
Partner with Revenue Operations and Sales to understand funnel conversion, attribution, and forecasting questions
Support Finance with GTM-related budget and spend analysis
Translate ad hoc questions from stakeholders across departments into clear, well-scoped analysis
Identify gaps or inconsistencies in GTM data and help improve data quality and definitions over time
Present findings in a way that is useful to both technical and non-technical audiences
Work with AI team on building out data agents that serve marketing purposes
Work with Data Engineering on structuring data architecture and source tables for marketing purposes
Work with Finance on annual planning and setting targets