Stefanini LATAM
Stefanini LATAM
Stefanini LATAM is a technology solutions provider focused on digital transformation and business modernization. With more than 30 years of experience, the company helps organizations improve operational models and customer experiences through automation, artificial intelligence, cybersecurity, and data analytics. Its work combines consulting with technology implementation, supporting clients as they identify opportunities to optimize processes, respond to changing market conditions, and pursue sustainable growth.

Mid-Senior Data Analyst, Search – Hybrid in Chile

Data Analyst responsible for optimizing search metrics, ranking, and engine quality at Stefanini, a global technology company. The role covers result validation, functional testing, and A/B analysis.

Description

  • Define metrics, validate results, and run tests to measure and maintain search engine quality
  • Improve search relevance, user experience, and overall engine performance
  • Track and report search KPIs, including search usage, CTR, conversion, and attributed revenue
  • Evaluate ranking-quality metrics such as NDCG and MRR, validating performance before and after each change
  • Perform functional and quality testing on new search engine versions
  • Identify regressions, defects, and edge cases involving zero-result searches, spelling errors, and result relevance
  • Support the design and analysis of A/B tests focused on ranking and search-experience improvements
  • Prepare reports and actionable insights for Search, Data, and Product teams

Requirements

  • Data analysis and metric development experience
  • Functional QA and digital-solution validation skills
  • SQL proficiency and familiarity with analytics tools preferred
  • Knowledge of search metrics and user-experience measurement
  • Strong analytical thinking
  • High attention to detail
  • Collaborative working style
  • Results-oriented approach
  • Degree in Computer Engineering, Systems Analysis, Data Engineering, or a related field
  • Experience analyzing data, assuring quality, and validating digital products
  • Knowledge of search metrics, statistical analysis, and testing methodologies

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