Caseware is one of Canada's original Fintech companies, having led the global audit and accounting software industry for over 30 years, with more than 500,000 users across 130 countries and available in 16 different languages. The audit & assurance profession is the foundation of trust in our financial system and global economy—an essential mission undergoing profound transformation. In a rapidly evolving technology landscape, accountants require world‑class tools to enhance trust, drive efficiency, strengthen their capability, and elevate their impact. At Caseware, we are at the forefront of this transformation, defining and building the future of accounting technology. We seek a Product Analyst, Data Platform and Analytics to play a critical role in advancing our metric‑driven culture within our Product Organization. You will work closely with Product, Design, Finance, Commercial and Engineering teams to define success metrics, build analytical frameworks, co‑design experiments, and ensure data‑driven decision‑making is at the core of our product development process. Location: This is a hybrid role requiring the successful candidate to work 3 days a week in our Toronto office, located at 351 King St E, Toronto, ON. What you will be doing Own end‑to‑end product analytics across the full data stack — from pipeline work in our data lakehouse (Microsoft Fabric / Delta Lake) to insight delivery — ensuring data is clean, trusted, and decision‑ready. Conduct deep AI trace analysis using Langfuse and similar observability tooling to surface patterns in model behaviour, latency, quality, and user interaction across AI‑powered features. Build and own funnel analysis across the customer lifecycle — activation, adoption, engagement, retention — identifying drop‑off points and quantifying the impact of product changes. Define, track, and report on core product and revenue metrics including NPS, ARR per user, active users, feature adoption rates, and firm‑level engagement signals. Build dashboards and scalable reporting in Power BI (Microsoft Fabric) that unify data across systems and make insights accessible to the full organization. Go beyond surface metrics and own the “so what,” synthesising data into clear, opinionated recommendations that influence product prioritization and roadmap decisions. Partner with Product Managers to validate hypotheses, run experiments, and measure feature performance with statistical rigor. Tackle data quality head‑on: diagnose gaps, inconsistencies, and structural issues across our data estate, and work with engineering to close them systematically. Navigate ambiguity confidently, working with incomplete, inconsistent, and loosely structured data and still producing reliable, high‑trust outputs that teams can act on. What you will bring 3+ years in product, business, or data analytics in a SaaS or technology environment. Solid grounding in SQL and Python — comfortable enough to write queries, wrangle data, and work with APIs, even if AI tools do some of the heavy lifting. Hands‑on experience with data lakehouse platforms (Microsoft Fabric, Databricks, Snowflake, or similar); able to work with engineering teams to improve pipeline quality and schema design. Experience with BI and visualization tools; Power BI and Microsoft Fabric are a strong plus. Familiarity with product analytics platforms (Pendo, Amplitude, Mixpanel, or similar) and AI observability tools such as Langfuse. Proven ability to build funnel analyses, cohort studies, and retention models — not just report numbers, but explain what they mean and what to do about them. Comfortable operating in messy data environments — you know how to assess data quality, make defensible assumptions, and communicate confidence levels clearly. A habitual AI user — you reach for AI tools as a default, not an afterthought. Curious about how AI systems behave and genuinely interested in measuring them — trace analysis, quality evaluations, and model observability feel like interesting problems, not overhead. Strong data storytelling skills — you can translate a complex analysis into a tight narrative for a non‑technical audience without losing the signal. Self‑starter with high agency; comfortable driving workstreams independently in fast‑moving, ambiguous environments. Salary Range The annual base salary for this position is between $110,000 CAD and $120,000 CAD per year. This role is also eligible for discretionary bonus and/or commission, as well as other benefits. Actual pay within the listed range will be determined based on factors such as transferable skills, relevant experience, market conditions, and primary work location. What's in it for you Innovation is at our core: we work with cutting‑edge technology in accounting and financial reporting, constantly pushing the boundaries to create impactful software solutions. We are committed to a collaborative culture, where your ideas are valued and knowledge sharing is encouraged within a supportive, inclusive team. Work‑life balance is important to us. We offer flexible work options, remote opportunities, and generous time‑off policies to ensure a healthy work‑life balance. Competitive compensation and comprehensive benefits such as health insurance and retirement plans. Impactful work: your contributions directly affect how our clients manage financial processes and drive their success. Recognition and rewards: we celebrate hard work through recognition programs, performance bonuses, and opportunities for career growth. Global opportunities: work on international projects and collaborate with a diverse, global team. About Caseware Caseware’s cutting‑edge software products are meticulously designed for accounting firms, corporations, and governments. Our teams are continually collaborating, innovating, and building upon our existing suite of products, with a customer‑focused mindset. We are building technology that shapes the future of audits, financial reporting, and financial data analytics. AI Usage The recruitment process may use AI‑assisted tools but not for candidate screening or assessment. All final hiring decisions are made by humans to ensure fairness, transparency, and oversight. Background Check Any candidate successful in obtaining an offer will need to successfully complete a background check through Certn.co, which typically includes identity verification and a criminal record check. Executives and Senior Managers will undergo a soft credit check as well. Candidates residing in the Netherlands and Germany are excluded from undergoing background checks via Certn.co. Security and Fraud Caseware takes the security of candidates seriously. All legitimate communication from us will come from email addresses ending in @caseware.com and our open positions are always listed on reputable job boards and on our website We will never ask for payment or financial information from you. If you receive an unsolicited job offer, proceed with extreme caution. We may use artificial intelligence tools to support parts of the hiring process, such as reviewing applications, analysing resumes, or assessing responses, but final hiring decisions are ultimately made by humans. 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