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In a rapidly evolving technology landscape, accountants require world class tools to enhance trust, drive efficiency, strengthen their capability, and elevate their impact.\nAt 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.\nYou 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.\nThis is a Full-time permanent position\nThis is a backfill position\nLocation:This is a hybridrole requiring the successful candidate to work 3 days a week in our Toronto office, located at 351 King St E, Suite 1100, Toronto, ON.\nContact: Taha Usmani (Senior Talent Acquisition Partner)\nWhat you will be doing:\nAnalyze product and customer data from multiple sources (analytics tools, feedback platforms, internal systems) to uncover trends in adoption, retention, and engagement. \nDefine, track, and report on key metrics such as NPS, ARR per user, active users, and firm engagement etc. \nBuild dashboards and scalable reporting that unify data across systems and make insights accessible to the organization. \nWork with incomplete, inconsistent, and less structured data, applying creative problem-solving to ensure accuracy, reliability, and trust. \nPartner with Product Managers to validate hypotheses, measure feature performance, and guide prioritization. \nCollaborate with Finance to connect product usage with revenue outcomes, including revenue projections, retentions and growth modeling. \nSupport the Commercial team and Market Leaders with insights that inform go-to-market strategy, customer engagement, and regional performance. \nAct as a data advocate ensuring that insights drive decision-making across teams, even when data is fragmented or ambiguous. \nWhat you will bring:\n3+ years of experience in product, business, or data analytics. \nStrong background in data mining, quantitative analysis, and problem solving. \nProficiency in SQL and a scripting language 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