Revenue Operations Data Analyst

W
WATI.ioTech SaaS
Indonesia. Brazil. MexicoFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
3-5 years
Required Skills
SQLTableauData visualizationBigQueryLooker

Requirements

  • Bachelor’s degree in a business or data-related field
  • 3-5 years’ work experience in a revenue operations role in a tech SaaS company
  • Strong experience in SQL and querying large datasets
  • Strong experience using BigQuery
  • Strong experience with data visualization tools such as Tableau, Looker, or similar
  • In-depth understanding of key SaaS metrics
  • Strong analytical and problem-solving skills with a keen attention to detail
  • A self-starter who is ready to take initiative and craft solutions from the ground up
  • Ability to work independently and in a fast-paced environment
  • Data science experience is a plus

Responsibilities

  • Understand business context and build frameworks based on data results to enable data as a decision management function for business growth.
  • Act as a thought partner to the GTM team to exploit market-fitted strategy.
  • Contribute to strategic planning efforts by providing data-driven insights on market trends, customer segmentation, and revenue opportunities.
  • Utilize advanced SQL skills to query, manipulate, and analyze complex data sets within BigQuery databases to extract key customer insights.
  • Translate data findings into clear, understandable reports and presentations for stakeholders.
  • Develop, refine, and optimize information flow that provide relevant insights into growth & revenue metrics, customer behavior, and performance.
  • Work closely with the data team to design and implement new data pipelines.
  • Ensure pipelines and data structures are scalable and support analytical needs.
  • Provide support to sales, marketing, customer success, and partnership teams by delivering tailored data insights and reports.
  • Continually assess and improve data collection and analysis processes, incorporating best practices.
  • Educate and train non-technical team members on how to interpret and utilize dashboards and reports.
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