Product Analyst

Full-time

6+ years

Product Analyst

About BuildingBlocks

Regardless of whether accomplishing astounding customer work or aiding assemble our organization from the inside, our different gifted organization shares a solitary mission: to fabricate lovely encounters that decidedly affect individuals’ lives and the organizations we serve.

Our way of life is more reason than work, mixing the quest for certified human association with a fastidious way to deal with the things we make. All with an idealistic soul. We’re an organization that is adequately youthful to be fun and defiant – yet intense and driven enough to immensely affect the business.

Role Overview

We are looking for a highly analytical and business-driven Product Analyst to support the growth, optimization, and performance of an AI-powered Commercial Real Estate (CRE) platform. This role sits at the intersection of Product, Data, Customer Insights, and Business Strategy.

The ideal candidate will be responsible for analyzing product usage, customer behavior, and operational workflows to generate actionable insights that improve user adoption, engagement, automation efficiency, and overall customer experience across AI-driven products.

The Product Analyst will work closely with Product Managers, Engineering, Customer Success, Operations, and Leadership teams to define KPIs, measure feature performance, identify growth opportunities, and support strategic product decisions. Experience working with AI products, AIpowered platforms, or workflow automation systems will be a strong advantage.

Key Responsibilities

• Analyze user behavior, customer workflows, and feature adoption across products.
• Build dashboards, reports, and performance monitoring frameworks for product analytics.
• Define, monitor, and improve key product KPIs including User Engagement, Feature Adoption, Customer Retention, Workflow Completion, Automation Utilization and Customer Health Metrics
• Conduct funnel analysis and identify friction points in user journeys.
• Partner with Product and Engineering teams to evaluate the performance of new AI features and releases.
• Design, analyze, and measure A/B tests and product experiments.
• Translate complex datasets into actionable business recommendations and strategic insights.
• Collaborate with Customer Success and Operations teams to identify operational pain points and product improvement opportunities.
• Support product roadmap prioritization using quantitative and qualitative insights.
• Analyze customer feedback, support trends, and usage patterns to improve product experience.
• Create executive-level reporting, presentations, and strategic performance summaries.
• Monitor AI feature adoption, automation performance, and operational efficiency metrics.

Required Qualifications

• Bachelor’s degree in Business, Analytics, Data Science, Economics, Computer Science, or a related field.
• 2 – 5 years of experience in Product Analytics, Business Analytics, SaaS Analytics, or related domains.
• Strong SQL skills with experience working on relational databases.
• Hands-on experience with BI and analytics tools such as Tableau, Looker, Power BI, Metabase, and Hex
• Familiarity with product analytics platforms such as Mixpanel, Amplitude, Heap and Segment
• Strong analytical thinking, problem-solving, and data interpretation skills.
• Ability to communicate insights effectively to both technical and non-technical stakeholders.
• Experience working in Agile and cross-functional product environments.

Preferred Qualifications

• Experience working with AI products, AI-powered platforms, workflow automation systems, or enterprise SaaS products.
• Exposure to Commercial Real Estate (CRE), PropTech, or operational technology platforms is preferred.
• Knowledge of Python or R for advanced analytics and statistical analysis.
• Familiarity with experimentation frameworks, A/B testing methodologies, and statistical modeling.
• Experience analyzing AI adoption, automation efficiency, and product performance metrics.
• Understanding of customer behavior analytics and product growth strategies.

Success Metrics

• Increased product adoption and user engagement.
• Improved retention and workflow completion rates.
• Faster business and product decision-making through actionable reporting.
• Reduced product friction and operational inefficiencies.
• Improved AI feature utilization and automation performance.
• Enhanced customer experience and product satisfaction.

Preferred Candidate Profile

• Strong business and product-oriented mindset.
• Passion for analytics, AI-driven products, and data-informed decision-making.
• Ability to work independently in a fast-paced startup environment.
• Excellent collaboration, communication, and stakeholder management skills.
• Detail-oriented with a proactive approach to problem-solving.