Lead Data Analyst Jobs

About Zippy:

• Zippy provides fast, simple home loans & insurance to manufactured home buyers located in communities throughout Texas
• We are a well-funded startup backed by institutional investors with competitive pay, incentive stock options, and excellent benefits
• We’ve built our culture on a fanatical focus on improving consumers financial outcomes through great technology
• We are a location flexible, remote-first organization with headquarters in Dallas, TX
• We’re digitally native and located at zippymh.com!

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We are seeking a highly skilled Lead Data Analyst to join our organization and lead the establishment of our data infrastructure and modeling capabilities. In this role, you will collaborate with various stakeholders to define key performance indicators (KPIs), design data warehouse and modeling solutions, and create comprehensive reports. Your expertise in tools like Redshift, Tableau, and others will be essential to drive data-driven decision-making across the organization.

The ideal person will be self-motivated with excellent project management skills and a mastery of data modeling. Experience in the FinTech industry and familiarity with startups is highly desirable, as our organization operates in a fast-paced environment. You should be comfortable collaborating with stakeholders at all levels and possess strong problem-solving abilities.

Responsibilities:

• Establish and implement data standards, monitor data integrity, ensure compliance with relevant regulatory standards, and manage data security and access controls.
• Present complex data in a clear and concise manner to diverse stakeholders, serving as a key point of contact for data-related inquiries.
• Support recurring reporting requirements around HMDA, MCR, and Credit Bureau Reporting.
• Implement and monitor measures to safeguard sensitive data and PII in compliance with privacy laws and industry regulations.
• Independently manage multiple projects, set priorities, and ensure timely delivery of high-quality results.
• Lead the design, implementation, and maintenance of a robust data warehouse in collaboration with Engineering and DevOps teams.
• Set up and maintain data dashboards, making data available and accessible for non-technical stakeholders.
• Serve as the primary data liaison with all areas of the business, including partner performance KPIs, lead management and team KPIs, loan origination KPIs, product engineering KPIs, external partner reporting, and investor loan reporting; translating data needs into technical requirements.
• Identify, analyze, and interpret trends or patterns in complex data sets to inform strategic decision-making.
• Develop and refine data models for databases, both from proprietary systems and external systems, to support all business units.
• Build high level reports tailored to investor needs and ensure data integrity on loan tapes to 3rd parties down to the loan level.
• Interpret complex data and analyze results using advanced statistical techniques to provide ongoing reports, insights, and strategic recommendations.

Requirements:

• Proficiency in SQL for complex querying, and experience with other data manipulation languages (like Python or R).
• Outstanding analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Strong self-management skills, with a proven ability to manage multiple projects, and prioritize tasks effectively.
• Deep understanding of data warehousing and data lake concepts, with substantial experience working with modern data tools.
• Familiarity with data privacy standards and regulations (e.g., GDPR, CCPA), and experience implementing data security measures.
• Proven working experience as a Data Analyst or Business Data Analyst, with extensive experience in senior roles.
• Excellent communication skills, capable of effectively presenting data insights to diverse stakeholders.
• Expert knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.).
• Expertise with business intelligence and data visualization tools (e.g., Tableau, Power BI) for dashboard setup and management.
• Experience in the fintech industry or with financial data is strongly preferred.

Compensation & Benefits:

• Salaried W-2 employee
• Incentive stock options (Equity) in Zippy
• Excellent health, vision, and dental benefits

Join Our Team!

By building the first digitally native loan origination platform for manufactured home loans, you will be responsible for:

• Delivering the value of tech transparency to an inefficient but growing market
• Improving the lives of over 22 million Americans who live in manufactured homes today
• Expanding access to new homeownership at a time of intense housing insecurity

Zippy is committed to promoting the values of diversity and inclusion throughout the business. Whether it is through recruitment, retention, career progression, or training and development, we are committed to improving opportunities for our people regardless of their background or circumstances.