Marketing AI & Analytics Strategist

Poka Inc. is transforming how frontline teams operate with their connected worker platform designed for manufacturing. The Marketing AI & Analytics Strategist will be responsible for optimizing marketing performance through data analysis, automation, and the design of attribution frameworks to enhance decision-making processes.

Responsibilities:

• 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?

Requirements:

• 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
• An understanding of English is essential at Poka, as it is the language used during company-wide meetings and many internal communications, ensuring effective collaboration and decision-making