Sales Operations Analyst

PadSplit is a pioneering real estate platform operating in the shared housing industry, committed to providing affordable housing accommodations for low-income earners. We are dedicated to helping solve the affordable housing crisis while leveraging housing as a vehicle for financial empowerment for our members. Our principles are Care, Show it, Prove it, and we’ve been proving it through our actions since 2018. We are on a mission to change the world – one room at a time. Join us! Learn more about PadSplit here The Role We Need: PadSplit is looking for a Sales Operations Analyst to optimize the efficiency and effectiveness of our top-of-funnel sales operations, with a primary focus on supporting the SDR team. This role is responsible for improving lead management, attribution, and execution, while translating SDR productivity into measurable pipeline and revenue impact. By analyzing data, streamlining workflows, and providing clear visibility across lead sources and individual contributors, the analyst enables the sales organization to scale efficiently and drive sustainable revenue growth. The Person We Are Looking For: We are seeking a proactive and detail-oriented individual with a strong analytical and operational mindset who thrives in fast-paced, evolving environments. The ideal candidate enjoys working closely with frontline sales teams, excels at using data to identify opportunities and optimize performance, and can clearly connect activity, pipeline, and revenue outcomes. We are looking for someone who is adaptable, self-motivated, and committed to enabling the sales team to operate more effectively and predictably through strong process ownership and data-driven insights. Here’s What You’ll Do Day-To-Day: 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. Here’s What You’ll Need To Be Successful: 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. PadSplit is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.