Data Analyst (AI)

Location: Hybrid; minimum 3 days per week in the office Tuesday through Thursday in Toronto or New York City, depending on residency. Candidates must be comfortable collaborating across UK time zones and have valid travel documents without work authorization restrictions.

Company

hirify.global provides an AI-native coaching platform for enterprise leaders and employees, using machine learning and natural language processing to personalize learning and development.

What you will do

• Analyze platform usage, feature engagement, and user interactions with AI-powered coaching tools.
• Identify friction points and opportunities across key user journeys.
• Support A/B testing, evaluate AI model performance, and assess the impact of new features on user experience and outcomes.
• Build self-service dashboards and recurring reporting frameworks for cross-functional teams.
• Translate complex data into clear insights for technical and non-technical stakeholders.
• Define tracking requirements with Product and Engineering and recommend improvements to data quality and analytics processes.

Requirements

• 5+ years of experience in data analytics, ideally in a B2B SaaS or AI-focused startup.
• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• Advanced SQL skills, including complex queries and work with diverse database structures.
• Hands-on experience with Python for data analysis and visualization, or R.
• Experience with BI tools such as Tableau, Looker, or Power BI, plus Excel or Google Sheets.
• Ability to structure complex business problems, identify patterns and outliers, and communicate findings clearly.

Nice to have

• Experience with product analytics platforms such as Mixpanel or Amplitude.
• Familiarity with AWS or GCP and data warehousing concepts.
• Experience in a fast-paced, early-stage startup.
• Knowledge of AI/ML concepts, SaaS metrics, and enterprise customers.

Culture & Benefits

• Direct ownership of company-defining projects and exposure to executive-level strategy.
• Hands-on work with advanced AI models and enterprise AI implementations across Fortune 500 companies.
• Medical, dental, and vision coverage from day one.
• Generous PTO, company-wide rest and recharge shutdowns, and paid parental leave.
• Retirement plan support for US and global employees, plus meaningful equity and potential top-up grants.

Hiring process

• Employment is contingent on verification of identity, employment history, education, and references.
• Accommodations are available upon request throughout the hiring process.