Product Analyst, Product Analytics

About Kindsight:

Kindsight builds technology that helps fundraisers make a difference. For decades, Kindsight has supported the education, healthcare, and nonprofit sectors with fundraising tools and the largest charitable giving database on the market. And as the giving sector evolves, so does Kindsight. As the leader in fundraising intelligence, Kindsight leverages real-time data and AI to help thousands of organizations around the world identify, manage, and engage with donors - at any scale. With purpose-built CRMs that corral all of that donor information and campaign tracking into one place, donor prospect research tools that offer proactive insights and real-time donor intel, and generative AI that creates personalized, meaningful content drafts at scale, Kindsight’s product suite is truly changing the game for donor fundraising.

Position Summary:

As Product Analyst in Product Analytics, you will fuel our data-driven decisionmaking through creating dashboards, reports, and analyses on product usage and adoption. This role will engage all of our products including iWave, Ascend, and Affinaquest. This is a pivotal role that sits at the intersection of technology, product innovation, and social impact.

What You’ll Do:

• Deliver Insights: Define and track key product success metrics to inform Product and Engineering decisions on what to build and improve.
• Build Dashboards: Build new dashboards providing analyses of trends, segmentation, adoption, usage, and risks.
• Develop Metrics: Collaborate with Product Managers to develop product-level metrics and Engineering to collect the underlying event data to fuel these metrics.
• Conduct User Research: Gather qualitative user stories to both inform the development of quantitative metrics and provide more context around quantitative trends.
• Fuel Customer Success: Work closely with Customer Success Ops to provide the underlying data needed to better understand customer journeys.
• Partner: Partner with Customer Success, Engineering, Marketing, and Sales to ensure broad understanding of products, users, and experience. 

About You - Skills and Qualifications:

• Experience: 2-5 years in a product role, ideally with experience delivering data-driven insights to fuel Product and Engineering teams. Experience working in Agile environments, with a strong understanding of Scrum principles.
• Salesforce: Working knowledge of Salesforce, ideally App Analytics data.
• Technical Acumen: Strong technical acumen and the ability to collaborate effectively with engineers.
• Problem Solving: Strong, detail-oriented  problem solving skills and ability to work independently.
• Excellent Communicator: Strong written and verbal communication skills with a focus on internal communication across teams.

Bonus Points:

• Familiarity with CRMs, ERPs, or fundraising technology.

Compensation Range: $100,000–$130,000 CAD base annually, plus bonus, based on experience, market benchmarks, and role complexity. We aim to offer fair, competitive pay that reflects your skills and the market.

At Kindsight, we’re proud to be a place where everyone belongs and has an equal opportunity to contribute, thrive and grow. We hire based on skills, potential, and impact, and we believe our differences fuel innovation. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. We’re building a workplace where everyone has the opportunity to do meaningful work and make a difference.
We leverage artificial intelligence (AI) tools to support certain aspects of our recruitment process. These tools may help with resume screening, drafting job descriptions, creating interview questions and occasionally identifying potential candidates. All hiring decisions are made by our people, not AI. Our intent is to use AI thoughtfully to streamline administrative tasks, improve the candidate experience and support fair, unbiased hiring practices consistent with industry standards.