RevOps Analyst (Hubspot Admin)

You will be joining Reveleer's Revenue Operations (RevOps) team in Chennai, India as a HubSpot System Administrator / Data Support Analyst. In this role, you will be responsible for maintaining, optimizing, and evolving the HubSpot ecosystem to ensure clean, actionable data and reliable insights for the go-to-market teams. Your key responsibilities will include: - Serving as the day-to-day administrator of the HubSpot Enterprise suite, including Marketing, Sales, Service, and Operations Hub. - Performing regular data quality checks and cleanup to maintain an accurate and reliable database. - Helping to stand up new HubSpot objects and ensure proper integrations and workflows. - Auditing and streamlining HubSpot properties, reports, and dashboards to improve usability. - Migrating legacy fields, workflows, and workarounds to take advantage of modern HubSpot features. - Collaborating with the RevOps team to enhance user experience and adoption across departments. Furthermore, you will be involved in: - Partnering with the Data Warehouse team to connect HubSpot data to BI tools. - Supporting the buildout of historical reporting snapshots for Sales, Marketing, and Customer Success metrics. - Creating and maintaining data pipelines or integrations between HubSpot and other systems. You should have: - 2-5 years of experience working with HubSpot in an administrative or data operations role. - Strong understanding of HubSpot architecture and data hygiene best practices. - Experience integrating HubSpot with BI tools and custom integrations with external systems. - Familiarity with marketing, sales, and customer success reporting metrics and processes. - Exceptional attention to detail, organization, and data accuracy. - Ability to manage multiple priorities, communicate clearly, and collaborate with US-based teams. - Proactive problem-solving skills and ability to improve systems independently. Nice-to-have skills include experience with SQL, Python, or other languages for data manipulation, familiarity with data warehouse environments, and previous experience in SaaS or healthtech environments.,