Senior Product Data Analyst

Introhive • Fredericton, NB

53d • Remote

About The Position

As a Senior Product Data Analyst on Introhive’s Product Operations team, you will be a force multiplier for the Product Development organization by helping to build, scale, and steward the product insights capability. You will turn product usage metrics, customer feedback, and other structured and unstructured data into actionable insights that drive roadmap, improve product outcomes, and enable strategic bets. Partnering closely with Product Managers, Engineering, UX Research, and Go-to-Market (GTM) teams, you’ll standardize our internal product data taxonomy, improve analytics instrumentation and tooling, operationalize our feedback loops, and enable truly data-informed decision-making across the product lifecycle.

Requirements

• Analytical Depth: Expertise in product analytics (funnel, cohort, retention, segmentation), experimentation, and causal thinking.
• Data Fluency: Proficient with SQL, a BI tool (e.g., Tableau/Looker/Power BI), cloud data warehouses (e.g., Snowflake), and at least one product analytics platform (e.g., Amplitude/Mixpanel/Pendo) or equivalent.
• AI-Augmented Analysis: Skilled at using LLMs and AI tools to accelerate analysis and operations (e.g., generating SQL/code safely, summarizing usage/VoC, clustering themes, triaging feedback, and narrating dashboards).
• Synthesizing Insight from Data: Comfortable combining quantitative signals with qualitative research to tell a cohesive story.
• Data Storytelling: Exceptional at building decision-ready narratives—clear visuals, plain language, and crisp recommendations.
• Data Instrumentation & Taxonomy: Experience defining event schemas, tagging strategies, and ensuring data quality at scale.
• Collaboration: Strong communication and stakeholder management; able to align PM, Engineering, UX, CS, and GTM around metrics and insights.
• Experimentation Mindset: Familiar with hypothesis design, guardrail metrics, and statistical concepts (e.g., confidence intervals, p-values, power).
• Organizational Skills: Pragmatic, organized, and with demonstrated experience managing multiple parallel initiatives and prioritizing effectively.
• 5+ years of experience in data analysis, product operations, or adjacent roles.
• Bachelor's degree in Computer Science, Engineering, Statistics, Business, or a related field.

Responsibilities

• Analyze user behaviour and outcomes to drive decisions
• Own product analytics platform & metrics framework
• Drive VoC & GTM feedback loop data strategy
• Investment & portfolio insights
• Enable stakeholders with product analytics
• Experimentation & product-led growth

Benefits

• At Introhive, we believe people do their best work when they feel trusted, empowered, and supported. That’s why we value outcomes over hours, curiosity over perfection, and collaboration over ego. You'll have room to grow, tools to succeed, and a team that’s got your back.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level