Marketing AI & Analytics Strategist

At Poka, we're transforming how frontline teams operate, learn, and solve problems. Our connected worker platform is purpose-built for manufacturing, empowering frontline workers to share knowledge, collaborate in real-time, and drive continuous improvement.

Think of it as the missing digital link, bringing the human interface into the stack of the Smart Factory, generating the right data and insights that drive entirely new scales of process improvements.

We're proud to support global leaders like Nestlé, Bosch, Mars, and Danone on their digital transformation journeys. And as part of the IFS family, our global reach and impact continue to grow.

We have a sophisticated stack and more data than we currently know what to do with. This role turns that data into decisions.

Poka's marketing team runs a complex stack, HubSpot, 6sense, Supermetrics, LinkedIn, Google, Influ2, and generates more data than we currently put to use. This role fixes that. You'll own how we measure marketing performance, where the gaps in our funnel logic are, and how we combine automation, AI, and human-in-the-loop processes to sharpen conversion rates and close the gaps in how we operate.

The person who thrives here gets genuinely annoyed when a dashboard is misleading, spots process gaps before they become problems, and has enough curiosity about AI tooling to have already pushed it beyond the basics.

• →Own funnel performance reporting across MQL/MQA volume and quality, pipeline contribution by source and segment, and conversion rates at each stage, and bring a clear point of view on what the numbers mean, not just what they are.
• →Build and maintain dashboards in HubSpot and Supermetrics that Marketing, Sales, and RevOps actually use, which means keeping them accurate, fast, and honest about what's missing.
• →Design and implement a marketing attribution framework: defining the touchpoint model, aligning with RevOps on methodology, and making sure the logic holds across channels and reporting tools.
• →Analyze paid media performance across LinkedIn, Google, and programmatic, not just reporting on it, but forming a view on where the budget should move and why.
• →Use AI tools to automate the analytics work that doesn't require judgment: lead enrichment, anomaly detection, routine reporting, intent signal processing. The point is to free up time for the work that does require judgment.
• →Identify and fix process gaps in the funnel, lead routing errors, lifecycle stage inconsistencies, data hygiene issues, working with RevOps and the HubSpot admin to close them properly.
• →Partner with campaign and demand generation leads at the start of each program to set measurement frameworks, then come back at the end with a retrospective that's genuinely useful for the next campaign.
• →Evaluate new martech and AI tools with a practical lens: does this solve a real problem we have, at a cost and complexity that makes sense?

• 4–6 years in marketing analytics, marketing operations, or a growth-focused analytics role, ideally in B2B SaaS or enterprise technology.
• HubSpot Marketing Hub experience beyond report-pulling. You've built workflows, managed lifecycle stages, and troubleshot attribution issues inside the platform. Certifications are a plus, but no substitute for having done the work.
• Supermetrics experience, or another cross-channel data connector you can speak to concretely.
• You've built or significantly improved a marketing attribution model. First-touch, linear, data-driven, custom, the methodology matters less than having aligned stakeholders on one and made it stick.
• Paid media analytics across LinkedIn Ads and Google Ads. You can look at a campaign's performance data and tell us something we don't already know.
• Genuine hands-on experience with AI tools in a marketing context, actual use, not just awareness. 6sense, OpenAI API integrations, or similar. Someone who has automated a workflow that used to take hours is the bar.
• Comfortable in Excel or Google Sheets for data work; Google Apps Script, Looker, and SQL experience are real advantages.
• Able to explain analytical findings to people who don't share your relationship with spreadsheets.

You'll have real ownership over how an entire marketing org understands its own performance, the attribution logic, the dashboards, the AI workflows, the calls on where budget moves. The stack is already sophisticated, the data is already flowing, and the appetite for sharper answers is there. What's missing is someone to make it all add up. As part of the IFS family, the systems you build here scale with a growing global marketing function.