Product Data Scientist - II

March 28

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Logo of Built

Built

Built is a company that specializes in providing a cloud platform for construction financing and project management. Their services include construction loan administration, asset and portfolio management, project financials, and payment management. Built streamlines construction loan management with tools for draw and budget management, draw inspections, and risk mitigation. The platform integrates with QuickBooks® Online to help manage budgets, invoices, compliance tracking, and payments, facilitating efficiency and accuracy across construction projects. With a focus on centralization and improved workflows, Built serves lenders, contractors, and real estate professionals, aiming to enhance construction finance management.

Financial Services Technology • Construction Lending • CRE Lending • Bank Compliance • Risk Mitigation

📋 Description

• Analyze front-end user data to identify trends, behaviors, and opportunities for product improvements. • Partner closely with Product, Engineering, and Design teams to provide data-driven insights that inform product decisions. • Develop and maintain dashboards, reports, and visualizations to track product performance and user engagement. • Conduct A/B testing and experimentation to measure the impact of product changes and new features. • Define and track key performance indicators (KPIs) to assess product success and user satisfaction. • Collaborate with data engineers to ensure data integrity, collection, and accessibility for accurate analysis. • Translate complex data into clear, actionable recommendations for stakeholders across the organization. • Present findings and insights to senior leadership to support strategic decision-making.

🎯 Requirements

• Bachelor’s degree in a relevant field (e.g., Data Analytics, Business, Computer Science, Mathematics, Economics, or a related discipline). • 1-2 years of experience in data analysis, product analytics, or a related field (internships or academic projects may be considered). • Proficiency in SQL to query and analyze data from relational databases. • Experience with data visualization tools (e.g., Tableau, Looker, Power BI) to create dashboards and reports. • Strong analytical and problem-solving skills with the ability to interpret data and present insights clearly. • Excellent communication skills to translate data insights into actionable recommendations for non-technical stakeholders.

🏖️ Benefits

• Competitive benefits including: uncapped vacation, health, dental & vision insurance, and 401k • Robust compensation package including base salary and equity • Flexible working hours, paid family leave, ERGs & Mentorship opportunities • Learning grant program to support ongoing professional development

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