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RevOps Data & Product Analyst

RevOps Data & Product Analyst

Outbuild Technologies IncSan Francisco, California, United States, 94102
30+ days ago
Job type
  • Full-time
Job description

ABOUT OUTBUILD

Outbuild is modernizing construction schedulingconnecting the master schedule to field execution so projects hit deadlines and reduce delays. We're a remote-first, fast-moving team with a strong culture and ambitious growth targets. Outbuild is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees .

OUR CORE VALUES :

  • Integrity : We do the right thingeven when it's hard, even when no one is looking. Our integrity builds trust with teammates, customers, and partners. It's the foundation of how we make decisions and take action.
  • Honesty & Transparency : We communicate openly and clearly. Whether it's sharing wins or owning mistakes, we lead with truth. Transparency keeps our team aligned, builds stronger relationships, and drives better outcomes.
  • Empathy : We take time to understand the experiences, challenges, and perspectives of others. By listening with care and responding with compassion, we build a culture where everyone feels seen, heard, and valued.
  • Innovation : We challenge assumptions and seek better ways to build. Whether it's the tools we create or the problems we solve, we stay curious, move fast, and embrace bold ideas that move the construction industry forward.
  • Quality : We take pride in our craft. From code to communication, every detail matters. We aim for excellence in everything we deliverbecause our work shapes the way others build the world.
  • Ownership : We act like ownersbecause we are. We step up, take accountability, and follow through. No task is too small, no problem is someone else's. We take initiative and drive results, together.

You'll own the loop from source model insight action across our GTM stack. With HubSpot Enterprise and Vitally at the core and Databox as our reporting layer, you'll turn messy, fragmented data into trusted dashboards, proactive insights, and automated reporting that changes how teams operate. You won't wait for requirementsyou'll discover them by partnering with leaders, asking the right questions, and spotting opportunities.

LOCATION : Remote (North America preferred)

TEAM : RevOps (supports Sales, CS, Marketing, Finance)

Type : Full-time

RESPONSIBILITIES

In this role, you will drive alignment and data-driven decision-making across Sales, Customer Success, Marketing, and Finance by defining, publishing, and maintaining key performance indicators (KPIs); building and automating dashboards; modeling robust datasets; identifying and resolving data gaps; establishing reporting cadences; proactively delivering actionable insights; and implementing rigorous data quality safeguards. Your work will ensure each function has trusted, actionable data to support continuous improvement and growth.

KEY RESPONSIBILITIES :

  • Define & align KPIs across Sales, CS, Marketing, and Finance; publish and maintain a living KPI dictionary.
  • Build dashboards in Databox (and adjacent tools) that automate manual reporting and drive decisions.
  • Model data (SQL + Python) to create clean, reusable datasets when out-of-the-box connectors fall short.
  • Diagnose & surface data gaps / leaks across the journey; partner with RevOps to fix them at the source.
  • Stand up reporting cadences (executive / functional scorecards, alerts, weekly / monthly reviews).
  • Proactively deliver insights (opportunity areas, risk cohorts, funnel bottlenecks) with clear actions and owners.
  • Create data contracts & quality guardrails (required fields, validation, dedupe, monitoring, alerts).
  • WHAT GREAT LOOKS LIKE (OUTCOMES)

  • A trusted single source of truth for GTM KPIs in Databox.
  • Teams spend less time pulling spreadsheets and more time acting on insights.
  • Funnel, attribution, and retention views that explain performance and suggest next best actions.
  • Clear, enforced data standards across systems; measurable reduction in data defects.
  • Reporting and dashboards are audit-ready, with clear data lineage, usage logs, and standardized metric definitions documented for internal alignment.
  • MINIMUM QUALIFICATIONS

  • 4+ years of experience with proven BI delivery (ideally Databox; Power BI / Tableau / Looker acceptable with fast ramp).
  • Basic stats knowledge
  • HubSpot Enterprise admin / analytics experience, custom coded actions, custom apps (lifecycle, workflows, fields, integrations, etc.).
  • Strong SQL and practical Python (transforms, API pulls, notebooks / scripts).
  • Track record + solid portfolio of cross-functional dashboards that replaced manual reporting and influenced behavior.
  • Clear communicator who converts ambiguity into crisp briefs, datasets, and visuals.
  • PREFERRED QUALIFICATIONS

  • Vitally (or similar CS analytics) experience.
  • Familiarity with parts of our stack or equivalents : Postgres, N8N / Zapier, ZoomInfo, Clay, RevenueHero, QuotaPath, Maxio / QuickBooks, Amplitude, Slack for alerting.
  • Experience with data contracts, reverse ETL, dbt, or lightweight forecasting / experimentation.
  • Comfort with AI tools (ChatGPT, Claude, Gemini, etc.) for analysis, QA, and documentation.
  • EMPLOYEE BENEFITS

  • BLUE SHIELD PPO : Bronze, Gold & Silver options; In-network & out-of-network tiers
  • DENTAL (GUARDIAN) : In-network & out-of-network coverage; Annual max & coinsurance details
  • VISION (GUARDIAN) : 20 / 20 / 150; Copays for exams / materials; Allowances for frames & contacts
  • BASIC LIFE (GUARDIAN) : $15,000 Employer-Paid Benefit
  • LONG-TERM DISABILITY (LTD) (GUARDIAN) : 60% of Pre-Disability Earnings, up to $6,000 / month
  • PARENTAL LEAVE : PATERNITY : 1 Month; MATERNITY : 3 Months
  • TIME OFF : PTO = 25 days per year; Sick Days = 5 days per year; Birthday off
  • 401K : Details to be provided within 1st month of employment
  • WORK EQUIPMENT : Provided as needed
  • TRAINING : We cover 100% of online courses and training (selected by Management)
  • Fully Remote

    Candidates can reside anywhere in the world.

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    Data Analyst Product • San Francisco, California, United States, 94102

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