Datacom

Revenue Operations Engineer

Datacom

full-time

Posted on:

Origin:  • 🇳🇿 New Zealand

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Job Level

Mid-LevelSenior

Tech Stack

PythonSQL

About the role

  • Smartly (a Datacom company) provides payroll and people-management software for over 20,000 Kiwi businesses.
  • Optimise Smartly’s go-to-market technology and processes to enable data-driven decision making and automation of lead-to-revenue processes.
  • Collaborate with Revenue Operations, Marketing, data engineering, platform owners, and cross-functional teams to enhance the revenue tech stack and drive efficiencies.
  • Ensure marketing activity connects to customer processes: implement lead scoring models, lead routing rules, and marketing automation workflows.
  • Maintain a data dictionary, build integration and data pipeline requirements, and support customer-facing projects with data lineage and governance.
  • Support campaign tracking: campaign data associations, URLs, tracking codes.
  • Define and track KPIs (lead volume, CPL, MQLs, pipeline created, ROI) and build dashboards in HubSpot or Metabase.
  • Perform attribution modeling to understand which channels and campaigns drive revenue.

Requirements

  • Strong understanding of marketing funnel metrics (MQL, SQL, pipeline, CAC, LTV, ROI).
  • Ability to build and maintain dashboards and reports in CRM or BI tools.
  • Knowledge of attribution models and campaign performance tracking.
  • Understanding of customer lifecycle metrics and revenue forecasting.
  • Proficiency with CRM systems (HubSpot a bonus).
  • Experience with SQL for querying data (Python for data manipulation is a bonus).
  • Understanding of integrations technology like APIs and webhooks is a plus.
  • Experience in lead scoring, routing, and nurturing workflows.
  • Familiarity with sales and marketing alignment processes.
  • Ability to document and improve operational processes.
  • Experience with AB testing and experiment design.
  • Ability to translate technical data insights into actionable recommendations.
  • Comfortable collaborating with marketing, sales, and leadership teams.