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Go-To-Market Data Analyst
📅 Aug 19
SQLGo-to-market AnalyticsMarketing Performance AnalysisLead Generation
📜 Description
- Analyze marketing performance across channels and campaigns, including lead generation and paid media.
- Build reporting that connects marketing activity to sales pipeline, revenue, and finance outcomes.
- Partner with Revenue Operations and Sales on funnel conversion, attribution, and forecasting questions.
- Support Finance with GTM budget and spend analysis, annual planning, and target setting.
- Translate stakeholder questions into clear analysis and present findings to technical and non-technical audiences.
- Improve GTM data quality and definitions, and collaborate on marketing data architecture and AI data agents.
🛠️ 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
- Experience with Snowflake or a similar cloud data warehouse
- Familiarity with marketing automation or CRM platforms (Salesforce, HubSpot, Marketo, or similar)
✨ Benefits
- Competitive salary
- Great benefits
- Paid vacation
- Life leave days
- Team lunches
- Off-sites
- Career growth opportunities
Full job description
Knak is a mission-driven company
Why? Because our time is limited, our competition is fierce, and our margin for error is small. To have the biggest impact on the world, we stay focused on our core mission, which is...
Empowering marketers to be creative.
That’s why Knak exists.
In a world where AI has made everyone a creator, Knak helps marketers turn ideas into on-brand, high-performing campaigns at scale. The world's most AI-forward companies, including Meta, OpenAI, NVIDIA, Vercel, Notion and Stripe, use Knak as their agentic marketing production layer.
Here's what they and our investor Insight Partners figured out: creation got easy, but that’s making production harder. Every new idea and brief still has to be built, versioned, checked, approved, and shipped across every channel, and that work runs on handoffs, review cycles, and a lot of copy-paste. That middle stretch of the marketing stack has no system, no standard, and no owner.
Knak is the flexible factory for that work. Our customers set the brand rules, choose the tools that feed in and the platforms that send, and decide where AI does the work and where people do. We handle the repeatable parts, so marketers get their time back for the parts that aren't.
We're built by marketers, for marketers. We started with email because it's the hardest channel to get right and where many campaigns win or lose. Now we're bringing that same production discipline to every channel our customers use.
About the Role
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."
What You'll Do
- 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
What You'll Bring
- 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 Have
- 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
What Success Looks Like
Within the first few months, this person should be a trusted point of contact for GTM analytics questions, someone Sales, Marketing, and Finance all know to go to for clear, reliable answers, not just a dashboard builder.
Base Salary: The anticipated base salary range for this position is $120,000 - 150,000. Final compensation will be determined based on factors including relevant experience, skills, qualifications, and internal equity. This range reflects base salary only and does not include other forms of compensation that may be available as part of the total rewards package.
What We Offer
At Knak we have four foundational pillars. Culture, customers, product and growth. Culture is our number one pillar because we know that is at the core of building a strong company that can build amazing products and delight our customers. We do this with a laser focus on hiring the right people who are smart, positive and who want more than the typical nine-to-five offers.
We offer an extremely rewarding, second to none work environment as acknowledged by Ottawa’s Best Places to Work 2026! We show our investment in our people through our competitive salaries, great benefits, paid vacation, Life leave days (because life happens), team lunches and off-sites, and most importantly our commitment to YOUR career growth.
If this sounds like something you’re looking for, then we’d love to hear from you!
If you don’t see yourself fully reflected in every job requirement listed on the posting above, we still encourage you to reach out and apply. Research has shown that women and underrepresented groups often only apply when they feel 100% qualified. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientations, and life experiences to apply. Knak believes in creating an inclusive, barrier-free working environment. If you require ANY accommodation to the interview process please contact culture@knak.com.
At Knak, our recruitment process includes AI screening for keywords and minimum qualifications as well as video interviews which are transcribed with AI. Humans are still at the core of our decision making! Please note that this job post is for an existing vacancy.
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