RevOps & Data Integration Consultant (HubSpot, GTM Stack, Analytics) – Hourly / Contract
We’re looking for an experienced RevOps / Data Integration consultant to help us connect, clean up, and analyze data across our go-to-market and customer success tech stack. Our tools include: HubSpot (CRM, Marketing, Service, Customer Success / Health Scores) Survicate PandaDoc Google Analytics LinkedIn Apollo Mailgun YouTube Future data warehouse and analytics layer The goal is to reliably capture historical data, avoid overwriting key signals, and roll everything up into usable customer, revenue, and health insights for leadership. This is not just “connect the API and walk away.” We need help with data modeling, best-practice architecture, and analytics readiness. What You’ll Do: Assist with designing and implementing integrations between HubSpot and our go-to-market tools Advise on data modeling, such as properties versus events versus custom objects Ensure historical survey and engagement data is preserved Help define inputs to HubSpot Customer Health Scores Recommend and or implement a data warehouse and analytics tool, with a preference for low-code solutions Validate data quality, consistency, and reporting accuracy Document the architecture so it is maintainable long-term What We’re Looking For: Proven experience with HubSpot RevOps and CRM architecture Hands-on integration experience using APIs, native connectors, or integration platforms Strong understanding of event data versus point-in-time properties Experience with data warehouses such as BigQuery, Snowflake, or Redshift Familiarity with analytics tools like Looker, Metabase, Power BI, Tableau, or Hex Ability to explain tradeoffs clearly to non-technical stakeholders Comfortable working hourly and scoping work incrementally Nice to Have: Experience integrating Survicate or other survey tools Customer Success and Health Score modeling experience Background in B2B SaaS or subscription businesses Experience implementing ELT tools such as Fivetran, Airbyte, Segment, or RudderStack Engagement Details: Contract and hourly engagement Initial scope focused on integration and architecture design Ongoing optimization is likely Expected data volume 35-100 terabytes over five years Apply tot his job