Product Analyst, Data Platform and Analytics

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. While you might not have heard of us (yet) over 36,000 accounting and audit professionals list Caseware as a skill on their LinkedIn profiles! 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. ❗ This is a full-time permanent position ❗ This is a new vacancy 📍 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 behavior, 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 own the "so what," synthesizing 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 work with incomplete, inconsistent, and loosely structured data and still produce 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. What matters is that you can read, validate, and direct the output, not just run it. 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. You use them to accelerate analysis, pressure-test logic, generate hypotheses, and move faster without cutting corners on rigor. Curious about how AI systems behave and genuinely interested in measuring them — trace analysis, quality evals, 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. The posted range is subject to change and may be updated periodically. 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. ▪️We offer competitive compensation, including a competitive salary and comprehensive benefits such as health insurance and retirement plans. ▪️We are driven by impactful work . Your contributions directly affect how our clients manage financial processes and drive their success. ▪️Recognition and rewards matter to us . We celebrate hard work through recognition programs, performance bonuses, and opportunities for career growth. ▪️We embrace 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 is shaping what the future of audits, financial reporting, and financial data analytics will look like. With a recent strategic investment from Hg Capital in 2020, Caseware is now in its next major growth phase as we double down on the people and products that have made Caseware so successful to date. One of Caseware's core values is Many Voices, One Team and with that in mind, we're dedicated to building teams as diverse as our customers in an equitable and inclusive way. We welcome and encourage candidates of all backgrounds to apply. Should you require accommodations or have any questions at any point during the application or interview process, please e-mail our People Operations team at [email protected]. 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 candidates successful in obtaining an offer for a position will need to successfully complete a background check through Certn.co which typically includes an Identity Verification and 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 https://jobs.lever.co/caseware. We will NEVER ask for payment or financial information from you. If you receive an unsolicited job offer, proceed with extreme caution.