Product Analyst, Data Platform and Analytics

Caseware combines over 35 years of industry expertise with AI-powered technology to transform how audit and accounting professionals work. Serving organizations across 130 countries, we bring intelligent automation directly into audit and financial reporting workflows—helping professionals reduce manual work, navigate complexity, and focus on informed decisions. Join our global team and help build technology that strengthens trust in financial information.

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 

Salary Range:

The annual base salary for this position is between

$108,000 CAD 

and

 $112,000 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:

• Shape what’s next with AI: Help transform audit and accounting through AI-powered technology. Explore new ways to bring AI into our own workflows, rethink how work gets done, and turn ideas into meaningful improvements for our teams and customers. 

• Make an impact that matters: Contribute to solutions that help professionals navigate complexity, make informed decisions, and strengthen trust in financial information around the world. 

• Bring your voice. Expand your perspective: Collaborate with a diverse global team where your ideas are valued, knowledge is shared, and different perspectives lead to better outcomes. 

• Build a career that grows with you: Develop your skills, take on new challenges, and explore career opportunities as our business and technology evolve. 

• Thrive at work and beyond: Enjoy competitive compensation, comprehensive benefits, recognition programs, and performance bonuses, alongside flexible work options, remote opportunities, and generous time off. 

Many Voices, One Team:

We’re committed to building teams as diverse as our customers through equitable and inclusive hiring. We welcome candidates of all backgrounds. If you need accommodations or have questions at any stage of the application or interview process, contact our People Operations team at [email protected].

Background Check:

All successful candidates will undergo background screening, which may include identity verification, criminal record checks, and/or reference checks, as appropriate to the role and location and in accordance with applicable law.

Security and Fraud:

All employees are expected to apply security best practices and work within secure handling guidelines to perform assigned responsibilities when accessing data and business information. 

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.