padsplit - Sales Operations Analyst
Requirements
• Education: Bachelor’s degree in Industrial engineering, Business, Marketing, Finance, or a related field. • Sales Ops Experience: 3+ years of experience in sales operations, business analysis, or a related field, preferably within the real estate or tech industry. Experience supporting sales teams operating with a high volume of leads is a plus. • Startup Experience: Past experience consulting or contracting for a US-based company, especially a startup is a plus. • Analytical Skills: Strong analytical skills with experience in data interpretation and performance metrics. • Data Storyteller: Data-driven mindset with the ability to use data to inform decisions and strategies. • Communication Skills: Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams and with external stakeholders. • Independent GSD: Proven ability to independently manage projects and drive initiatives from concept to execution in a structured manner. • Real Estate: Knowledge of the housing market / shared housing is a plus. • CRM Tools: Proficiency in data analysis tools (e.g., Excel, SQL) and CRM software (we use Salesforce). • AI & Automation (Nice to Have): Exposure to AI-powered tools or automation initiatives in sales or operations environments, with an interest in leveraging these capabilities to improve efficiency and data quality • English Skills: Fluent in written and spoken English • ## The Interview Process: • Your application will be reviewed for possible next steps by the Hiring Manager. • If you meet eligibility requirements, the next step would be a video screen with a member of the PeopleOps team for about thirty (30) minutes. • If warranted, the next step would be a video interview with our Revenue Ops Lead for forty-five (45) minutes. • If warranted, the next step would be a video interview with a small panel of key stakeholders for one-and-a-half (1.5) hours. • If warranted, then we move to contract! • Notice to Applicants: • PadSplit participates in E-Verify. All new employees are required to complete an I-9 form and be authorized to work in the United States. Employment is contingent upon successful completion of the E-Verify process. • We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas.
Responsibilities
• Lead Management Operations: Own lead creation, enrichment, routing logic and SLAs for the SDR team, ensuring leads are accurately attributed, prioritized, and worked efficiently from the moment they enter the funnel. • SDR Cadence Operations: Operate, monitor, and optimize SDR cadences to improve contact rates, qualification, and conversion, partnering with SDR leadership to test and iterate on cadence performance. • Top-of-Funnel Analysis: Analyze lead conversion and engagement data to identify trends, gaps, and opportunities across sources, segments, and SDRs, translating activity into pipeline and revenue impact. • Revenue & Attribution Insights: Translate SDR productivity into pipeline and revenue outcomes, attributing results to lead sources, cadences, and individual contributors to improve performance visibility and accountability. • Funnel Visibility & Sales Handoffs: Maintain clear visibility across the Lead → Contacted → Qualified → Sales handoff funnel, identifying friction points and improving handoff quality and conversion to Sales. • Productivity & Activity Tracking: Monitor touchpoints, activity levels, and time allocation across the SDR team, identifying productivity patterns that drive stronger revenue outcomes. • Reporting & Performance Tracking: Establish and maintain KPIs for SDR performance, funnel health, pipeline, and revenue contribution, delivering regular insights and reports to Sales and RevOps leadership. • Cross-Functional Collaboration: Work closely with Marketing, Sales, RevOps, and Systems teams to improve lead flow, data quality, attribution, and overall top-of-funnel performance. • Continuous Improvement: Drive a culture of experimentation and optimization by testing new processes, tools, and workflows, leveraging AI-powered solutions and automations to improve SDR productivity and pipeline generation.
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