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2 дня назад

Analyst – Data & Process Management (Pharmaceutical)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Analyst – Data & Process Management (Pharmaceutical): Managing pharmaceutical commercial datasets and data governance processes with an accent on data quality, completeness, consistency, and stakeholder delivery. Focus on developing data quality frameworks, automating analytical processes with SQL, Python, Power BI, Informatica, and AWS, and supporting commercial operations across global teams.

Location: Hyderabad, India. Travel may be required as per business need.

Company

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

What you will do

  • Manage pharmaceutical commercial datasets and ensure timely, accurate, complete, and consistent data delivery.
  • Monitor data quality reports, investigate issues, identify system gaps, and provide first-level support for sales, claims, MDM, and omnichannel data inquiries.
  • Develop SOPs, business rules, metadata, data catalogs, profiling processes, and data quality frameworks.
  • Build tools and automate or improve data management, reporting, and analytical processes.
  • Support quarterly commercial operations cycles, including forecasting, targeting, call planning, field reporting, incentive compensation, and market mix activities.
  • Collaborate with global stakeholders, Digital teams, internal customers, and external vendors on project delivery and process improvements.

Requirements

  • 3+ years of experience with pharmaceutical commercial datasets and data management, including IQVIA syndicated, specialty pharmacy, claims, customer engagement, and execution data.
  • Bachelor’s degree from an accredited four-year college or university; an advanced degree in management, statistics, decision sciences, engineering, life sciences, or business analytics is beneficial.
  • Strong technical background in SQL, Python, Excel, Power BI, Informatica, and AWS.
  • Knowledge of pharmaceutical sales and marketing data sources such as IQVIA and Veeva, and of pharmaceutical commercial operations.
  • Understanding of data processing, incident management, data governance, data stewardship, and data quality principles.
  • Excellent written and spoken English, strong communication and presentation skills, and the ability to work across international teams and time zones.

Nice to have

  • Experience using AI tools for data governance, or analytical tools such as VBA and Alteryx.
  • Experience with field reporting, field deployment, incentive compensation, vaccines, or claims data.
  • Advanced statistical and analytical techniques for innovation and automation.

Culture & Benefits

  • Permanent, full-time employment.
  • Work with global teams across multiple commercial and functional areas.
  • Opportunity to contribute to initiatives supporting better medications, outcomes, and science.
  • Equal-opportunity workplace committed to diversity and inclusion.

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