Verified Job
IT / Software / Data Analyst
Product Analyst, Data Platform and Analytics- job post CasewareProduct Analyst, Data Platform and An
IT / Software / Data Analyst
#803780
Remote / WFH
Caseware
Job Description
Full 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 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
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
