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15 часов назад

Senior Data Analyst (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Analyst (AI): Interprets outputs from predictive, classification, and NLP models converting them into executive recommendations with business context. Focus on advanced SQL/Python data analysis, Azure/Databricks ML pipelines, dashboard development for KPIs, and strategic consulting for AI initiatives.

Location: CDMX, Mexico

Company

hirify.global is a global AI-native technology solutions provider developing AI-powered digital products and platforms, partnering with clients to leverage data and AI for business transformation.

What you will do

  • Interpret ML/AI model outputs (precision, recall, AUC-ROC, SHAP, drift) and translate into actionable executive recommendations with business context.
  • Write complex SQL queries (CTEs, window functions) and Python scripts (pandas, scikit-learn) to extract, transform, and analyze data from multiple sources.
  • Deploy and consume data pipelines and ML workloads in Azure and Databricks environments.
  • Design and maintain dashboards in Power BI, Tableau, or Looker to monitor business KPIs and model performance.
  • Act as internal AI/ML consultant: evaluate feasibility, co-design success criteria, prioritize initiatives with stakeholders.
  • Ensure data governance, quality, integrity, and documentation standards for reports and models.

Requirements

  • ML/AI translation skills to communicate technical metrics to non-technical audiences via reports and presentations.
  • Advanced SQL and Python for data handling and analysis.
  • Experience with Azure, Databricks for data/ML pipelines.
  • Dashboard development in Power BI, Tableau, Looker or similar.
  • Strategic thinking as internal consultant for AI/ML business leverage.
  • Executive communication and storytelling with visual literacy principles.

Nice to have

  • Participation in data science model review sessions.
  • Identifying new AI/ML use cases through analysis and collaboration.
  • Familiarity with AI adoption best practices documentation.
  • Technical English proficiency for reading, writing, presenting.

Culture & Benefits

  • High-impact environment fostering growth and collaboration.
  • Commitment to professional development.
  • Flexible and collaborative culture with global opportunities.
  • Vibrant community and total rewards (specifics by employment type and location).

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