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Sr Associate, Data Strategy & Management – GCA Mexico Analytics Center

Формат работы
hybrid
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
Sr Associate, Data Strategy & Management – GCA Mexico Analytics Center (SQL/Python): Building scalable data pipelines, curated data layers, and reusable data products for commercial analytics and enterprise decision-making with an accent on data governance, quality, compliance, and reliability. Focus on translating business requirements into technical data solutions, automating validation and monitoring, and enabling advanced analytics across data science and business teams.

Location: Mexico City; hybrid work from the assigned hirify.global office 2–3 days per week or as required by the business

Company

hirify.global is a global pharmaceutical company using data and analytics to support commercial decision-making and improve patient outcomes.

What you will do

  • Execute enterprise data strategy initiatives by delivering pipelines, data assets, frameworks, and reusable solutions.
  • Design, build, enhance, and maintain scalable data pipelines, curated data layers, and analytics-ready data structures.
  • Operationalize data governance standards, data quality rules, privacy controls, security practices, and regulatory requirements.
  • Translate business and analytics requirements into reliable technical data solutions.
  • Enable data science, analytics, marketing, digital, and technology teams through high-quality data products and integrations.
  • Automate validation and monitoring, identify delivery risks, communicate technical concepts, and mentor junior team members.

Requirements

  • Bachelor’s degree and 3+ years of relevant experience, or a master’s degree and 1+ year in data engineering, data strategy, analytics engineering, or a related field.
  • Strong hands-on experience with SQL, Python, and modern data platforms.
  • Understanding of data pipelines, data modeling, and distributed data architectures.
  • Experience translating business requirements into technical data solutions.
  • Working knowledge of data governance, data quality, privacy, security, and compliance concepts.
  • Strong communication and collaboration skills.

Nice to have

  • Experience in commercial, marketing, life sciences, or other regulated environments.
  • Familiarity with API integrations, data validation frameworks, and analytics-ready data models.
  • Experience with agile delivery environments, cloud-based data platforms, or orchestration tools.

Culture & Benefits

  • Collaborative work with data science, analytics, marketing, digital, technology, and business stakeholders.
  • Opportunity to contribute to an expanding analytics capability center supporting the US Commercial Division.
  • Focus on knowledge sharing, continuous improvement, and technical problem-solving.

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