Splitero is looking to establish the foundation for data-informed decision-making across the company by hiring a Lead Product Data Analyst to own the analytics stack, define metrics and standards, and deliver insights that shape both homeowner experience and internal team performance.
Requirements
- 3+ years of hands-on expertise in Salesforce CRM Analytics, including 0-1 setup, best practices, dataflows, and dashboard development.
- Experience with marketing and product analytics tools such as Google Analytics, PostHog, Mixpanel.
- Familiarity with SQL or lightweight data modeling tools (e.g., dbt)
- Exposure to A/B testing, user segmentation, or experimentation frameworks.
- Strong knowledge of the Salesforce data model, including complex reporting on customer journeys.
- Ability to define KPIs, build dashboards, and drive insight-based decisions across teams.
Responsibilities
- Define, build, and maintain Salesforce CRM Analytics dashboards and dataflows that surface product usage, homeowner behavior, and operational performance.
- Establish and standardize core KPIs across the organization, ensuring accuracy and alignment across teams.
- Partner with product and operations leaders to diagnose bottlenecks, optimize lead routing, and improve funnel performance.
- Build lead scoring models, funnel tracking, and team performance dashboards that drive measurable improvements in conversion and efficiency.
- Translate data into clear narratives for roadmap planning, initiative tracking, and operational performance reviews.
- Drive the adoption of product analytics platforms (PostHog, Mixpanel, GA) alongside Salesforce reporting to give a 360° view of the customer journey.
- Set the analytics standards, governance, and best practices that will enable future scale (permissions, dataflows, documentation).
Other
- 7+ years of experience in data or product analytics, preferably in a SaaS, fintech, or financial services environment.
- Experience communicating complex findings to both technical and non-technical audiences.
- Strong collaboration skills and comfort working across multiple stakeholders and priorities.
- A passion for using data to improve user experience and streamline operations.
- Experience in the finance, mortgage, or real estate industries is a strong plus, especially in high-volume, lead-driven environments.
