Product Analyst, Data Platform and Analytics

Job description

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 backfill position 📍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, Suite 1100, Toronto, ON. Contact: Taha Usmani (Senior Talent Acquisition Partner) ### What you will be doing: - Analyze product and customer data from multiple sources (analytics tools, feedback platforms, internal systems) to uncover trends in adoption, retention, and engagement. - Define, track, and report on key metrics such as NPS, ARR per user, active users, and firm engagement etc. - Build dashboards and scalable reporting that unify data across systems and make insights accessible to the organization. - Work with incomplete, inconsistent, and less structured data, applying creative problem-solving to ensure accuracy, reliability, and trust. - Partner with Product Managers to validate hypotheses, measure feature performance, and guide prioritization. - Collaborate with Finance to connect product usage with revenue outcomes, including revenue projections, retentions and growth modeling. - Support the Commercial team and Market Leaders with insights that inform go-to-market strategy, customer engagement, and regional performance. - Act as a data advocate ensuring that insights drive decision-making across teams, even when data is fragmented or ambiguous. ### What you will bring: - 3+ years of experience in product, business, or data analytics. - Strong background in data mining, quantitative analysis, and problem solving. - Proficiency in SQL and a scripting language (Python or R) for data wrangling and analysis and working with APIs. - Experience with BI and visualization tools such as Power BI (Microsoft Fabric a plus). - Exposure to product analytics and feedback platforms such as Pendo - Experience working with data platform or engineering teams to improve pipelines and data quality. - Self-starter who thrives in ambiguous environments, with strong communication and data storytelling skills. - A passion for data-driven decision-making and a commitment to continuous learning and improvement