Product Analyst, Data Platform and Analytics

Location: Hybrid role requiring 3 days per week in the Toronto office at 351 King St E, Suite 1100, Toronto, ON

Annual base salary: $108,000–$112,000 CAD per year, plus discretionary bonus and/or commission and benefits.

Company

hirify.global develops accounting, audit, financial reporting, and financial data analytics software used by accounting firms, corporations, and governments worldwide.

What you will do

• Analyze product and customer data to identify trends in adoption, retention, engagement, and regional performance.
• Define, track, and report on product metrics including NPS, ARR per user, active users, and firm engagement.
• Build dashboards and scalable reporting that unify data from analytics tools, feedback platforms, and internal systems.
• Partner with Product Managers to validate hypotheses, measure feature performance, and guide prioritization.
• Collaborate with Finance and Commercial teams on revenue projections, retention and growth modeling, go-to-market strategy, and customer engagement.
• Improve data reliability and promote evidence-based decision-making across teams working with fragmented or ambiguous data.

Requirements

• 3+ years of experience in product, business, or data analytics.
• Strong data mining, quantitative analysis, problem-solving, communication, and data storytelling skills.
• Proficiency in SQL and Python or R for data wrangling, analysis, and API work.
• Experience with BI and visualization tools such as Power BI.
• Exposure to product analytics and feedback platforms such as Pendo.
• Experience working with data platform or engineering teams to improve pipelines and data quality.

Culture & Benefits

• Collaborative, inclusive culture focused on knowledge sharing and diverse perspectives.
• Flexible work options, remote opportunities, and generous time-off policies.
• Health insurance, retirement plans, performance bonuses, and recognition programs.
• Opportunities for career growth, continuous learning, and work on international projects.
• Recruitment may use AI-assisted tools, while final hiring decisions are made by people.

Hiring process

• Successful candidates must complete a background check, typically including identity verification and a criminal record check.
• Executives and Senior Managers may also undergo a soft credit check.