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Outbuild

Outbuild

via Rippling

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RevOps Data & Product Analyst

Anywhere
full-time
Posted 10/2/2025
Direct Apply
Key Skills:
SQL
Python
Business Intelligence
Dashboarding (Databox, Power BI, Tableau)
HubSpot Enterprise analytics
Data modeling
Data quality and governance
Cross-functional collaboration
Statistical knowledge
Reporting automation

Compensation

Salary Range

$90K - 130K a year

Responsibilities

Define and maintain KPIs, build automated dashboards, model data, identify and fix data gaps, establish reporting cadences, and deliver actionable insights across Sales, CS, Marketing, and Finance.

Requirements

4+ years BI experience with Databox or similar tools, HubSpot Enterprise admin/analytics skills, strong SQL and Python, cross-functional dashboard portfolio, and clear communication.

Full Description

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 requirements—you’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.

This job posting was last updated on 10/2/2025

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