Senior Manager, Analytics

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October 9

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Luxury Presence

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Real Estate • Marketing

Luxury Presence is a company that specializes in providing real estate professionals with top-tier digital solutions. They offer award-winning real estate website designs and expert marketing solutions aimed at helping agents, teams, and brokerages grow their business and build their brand. Their platform includes tools for IDX home search, property websites, digital CMA, SEO services, content marketing, advertising, and social media management. Trusted by over 20 of the top 100 Wall Street Journal agents, Luxury Presence empowers real estate professionals to attract more business through beautiful and functional digital experiences.

201 - 500 employees

🏠 Real Estate

📋 Description

• Lead and develop a team of analysts (hiring, coaching, prioritization, career growth). • Be the product manager for analytics: run intake, stack-rank requests, ship MVP dashboards/tools, collect feedback, and iterate. • Ship decision-ready analysis: pipeline health, funnel conversion, cohort/retention, GRR/NRR drivers, marketing performance, and forecast inputs. • Partner with GTM (Sales, Marketing, Client Success) plus PeopleOps, Finance, and Operations to map use cases and deliver the metrics that run the business. • Own data quality and consistency: KPI taxonomy, source-of-truth tables, data contracts with upstream owners, and documentation everyone can trust. • Build and maintain self-serve analytics: role-based dashboards, drill-downs, alerts, and definitions that make performance obvious at a glance. • Evolve the stack and workflows with Engineering/RevOps: define requirements, improve modeling, and keep pipelines reliable and cost-efficient.

🎯 Requirements

• 7+ years in analytics/BI with 2+ years managing analysts or a small analytics team. • Exceptional organization & communication; you keep priorities tight and stakeholders aligned. • Expert SQL; strong with modeling and BI • GTM fluency across Sales/Success/Marketing metrics (funnel, pipeline, cohorts, retention, attribution); experience partnering with RevOps/Finance. • Product mindset for internal tools: backlog, scoping, UX of dashboards, adoption and change-management. • Comfortable with Python for analysis/automation; not a heavy ML/stat role (you know when to keep it simple). • Experience driving data governance: definitions, documentation, QA, and data contracts.

🏖️ Benefits

• Stock Options • Flex PTO • Health/Vision/Dental