Product Analyst

About BuildingBlocks

BuildingBlocks is a vibrant company driven by a mission to create impactful, delightful experiences that positively touch clients and businesses alike. The culture is founded on a meaningful purpose, blending excellence with a youthful, spirited approach that fosters innovation and substantial industry influence.

Role Overview

We seek an analytically minded and business-focused Product Analyst to contribute to the expansion and enhancement of an AI-driven Commercial Real Estate (CRE) platform. This pivotal position bridges the domains of Product, Data Analysis, Client Insights, and Strategic Business planning.

The successful candidate will analyze product interaction, customer behaviors, and operational processes to deliver actionable insights aimed at boosting adoption, engagement, workflow automation efficiency, and the overall user experience of AI-based products.

Collaboration with Product Managers, Engineering, Customer Success, Operations, and Leadership is essential to establish KPIs, assess feature effectiveness, pinpoint growth opportunities, and guide product-related strategic choices. Previous experience with AI tools, automated workflow systems, or similar technologies is advantageous.

Key Responsibilities

• Perform comprehensive analysis of user behaviors, customer workflows, and feature engagement across multiple products.
• Develop dashboards, reports, and frameworks to monitor product analytics effectively.
• Define and track crucial product KPIs such as User Engagement, Feature Adoption, Customer Retention, Workflow Completion, Automation Utilization, and Customer Health metrics.
• Conduct funnel analyses to identify points of user friction during journey flows.
• Collaborate with Product and Engineering to assess AI features and new releases.
• Design, implement, and interpret A/B tests and experimental product validations.
• Convert complex data into strategic recommendations benefiting business decisions.
• Work alongside Customer Success and Operations teams to uncover operational challenges and opportunities for product enhancement.
• Support prioritization on the product roadmap by leveraging quantitative and qualitative data insights.
• Analyze customer feedback and support trends to refine product experience continuously.
• Prepare executive-level reports, presentations, and summaries on strategic performance metrics.
• Monitor adoption of AI features and measure automation and operational efficiency.

Required Qualifications

• Bachelor’s degree in disciplines such as Business, Analytics, Data Science, Economics, Computer Science, or related fields.
• Between 2 to 5 years’ experience in roles involving Product Analytics, Business or SaaS Analytics, or comparable areas.
• Proficient in SQL, especially working with relational databases.
• Practical use of business intelligence and analytics platforms like Tableau, Looker, Power BI, Metabase, or Hex.
• Knowledge of product analytics tools such as Mixpanel, Amplitude, Heap, and Segment.
• Strong analytical reasoning and skill in interpreting complex data.
• Capability to communicate data findings effectively to technical and non-technical stakeholders.
• Experience operating within Agile and multidisciplinary product teams.

Preferred Qualifications

• Background with AI products, AI-fueled platforms, workflow automation, or enterprise SaaS solutions.
• Familiarity with Commercial Real Estate (CRE), PropTech, or operational tech domains is favored.
• Skills in Python or R for conducting advanced statistical and analytical work.
• Understanding of A/B testing practices, experimentation frameworks, and statistical modeling.
• Experience evaluating AI adoption, automation outputs, and product performance metrics.
• Insights into customer analytics and tactics for product growth.

Success Metrics

• Enhanced product adoption and user interaction.
• Improved retention rates and completion of workflows.
• Accelerated decision-making for business and product development through insightful reporting.
• Reduction in product-related challenges and inefficiencies in operations.
• Better adoption and performance of AI features and automation tools.
• Elevated customer satisfaction and overall product experience.

Preferred Candidate Profile

• Strong commercially and product-driven mindset.
• Enthusiasm for analytics, AI-enabled products, and data-based decision-making.
• Self-starter who thrives in a dynamic startup setting.
• Excellent in collaboration, communication, and managing stakeholder relations.
• Attention to detail paired with a proactive problem-solving attitude.