Director, Data & Analytics

Posted:
9/23/2024, 8:40:48 AM

Location(s):
New York, New York, United States ⋅ New York, United States

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Data & Analytics

Who We Are

Perchwell is the modern data and workflow platform for real estate professionals and consumers. Based on the industry’s foundational data, Perchwell builds a modern software suite to empower real estate professionals to do their best work, provide differentiated service to their clients, and grow their businesses.

Backed by Lux Capital, Founders Fund, and some of the country’s leading Multiple Listing Services (MLSs), Perchwell builds next generation workflow software/data products for the multi-trillion dollar residential real estate industry. Perchwell is the first new entrant to come to market in decades and is currently scaling its best-in-class platform.

About the Role

Perchwell is seeking a Director, Data & Analytics who will be responsible for developing and implementing a comprehensive data and analytics strategy that aligns with and drives key business priorities. The Director, Data & Analytics will oversee the data & analytics team in creating industry-leading reporting & analytics infrastructure and capabilities. This team partners closely with cross-functional stakeholders to provide critical business insights across customer success, product, engineering and more.

The ideal candidate will lead by example; effectively collaborating across the organization while also sitting side-by-side with their team to solve complex problems and develop products in an innovative and agile way.

This Person Will 

  • Define and drive Perchwell’s data strategy by identifying data needs, drawing insights from the exploration of data, and feeding requirements back to product teams to make modifications to collect or leverage data in new beneficial ways

  • Partner with senior leadership across Perchwell to map business challenges and opportunities to known and unknown data and translate these business needs to technical requirements

  • Design, build, and own a scalable data infrastructure and architecture strategy to support company-wide analysis and reporting across the product, including development of data lakes to store and transform raw data into structured data ready for analytics

  • Lead Data & Analytics team to design and build automated analytics tools and self-service dashboards to enhance decision-making, operational efficiency, and customer success

  • Communicate complex data analysis and findings effectively to both technical and non-technical audiences

  • Manage, recruit, develop and retain the data and analytics team; leading them to provide data-driven insights to leadership and stakeholders across a wide range of areas

  • Player-coach mentality 

  • Maintain a mindset of continuous learning and growing in the data & analytics space, focusing on business problems that require making sense of large-scale structured and unstructured datasets

  • Solve real estate’s deep data quality problems by designing and operationalizing scalable quality control mechanisms

Experience 

  • 7+ years of experience in data analytics and/or data science and at least 2+ years in data team leadership

  • A strong interest in analyzing and interpreting structured and unstructured data, drawing conclusions, and building strategic insights based on quantitative and qualitative research

  • Established track record of building and leading high-performing data teams, fostering a culture of collaboration, accountability, and knowledge sharing

  • In-depth understanding of modern data governance and compliance best practices, with the ability to balance data accessibility with data integrity for data-driven projects

  • Excellent communication skills and ability to ‘translate’ between the data and the business, via layman’s terminology of complex analytical methods

Nice to Have

  • Demonstrated domain knowledge within the real estate industry; ability to dig into and grasp the specific complexities of real estate and geospatial data

Salary Range

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. Our ranges are based on function and level benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including skills, job-related knowledge and depth of work experience. 

The compensation for this position is $185,000 - $235,000 base salary + equity + benefits.

Note: At this time, we are only considering candidates who are authorized to work in the U.S.