Springer Nature
Springer Nature
Springer Nature tadqiqot, sog‘liqni saqlash, ta’lim, biznes va professional hamjamiyatlarga 180 yildan ortiq vaqt davomida xizmat ko‘rsatib kelayotgan xalqaro akademik nashriyot va axborot ta’minotchisidir. Uning nashriyot portfeli fan, texnologiya, tibbiyot, biznes va ta’lim yo‘nalishlarini qamrab olib, tadqiqotchilar, klinitsistlar, ta’lim beruvchilar va boshqa mutaxassislarga kitoblar, jurnallar, tadqiqotlar hamda tahliliy ma’lumotlardan foydalanish imkonini beradi. Kompaniya Nature va boshqa nufuzli jurnallarni, jumladan, Ochiq kirish formatidagi katta hajmdagi kontentni nashr etadi hamda butun dunyodagi ofislarda faoliyat yuritadigan global jamoa orqali ishlaydi.

Data Analyst – Springer Nature, Lisbon (On-site)

Use SQL, Python, and analytics engineering to develop metrics, dashboards, and data solutions for Springer Nature’s scientific publishing and content acquisition teams.

Tavsif

  • Analyze scientific publishing, content acquisition, and global market data to inform business understanding
  • Apply quantitative analysis, business context, and clear storytelling to guide data-driven decisions
  • Define and implement metrics that measure key areas of business performance
  • Build and maintain analytics products that support data querying and self-service
  • Develop and maintain dashboards for monitoring metrics and communicating insights
  • Collaborate on focused research projects to identify trends, opportunities, and risks
  • Strengthen data literacy and encourage data-informed ways of working across the organization
  • Support digital products across planning, analysis, delivery, and ongoing operations
  • Work with Technology, Business, and User Research teams to create organizational value

Talablar

  • A university degree in a quantitative field such as Mathematics, Statistics, Data Science, Engineering, or another related STEM discipline
  • Professional experience as a Data Analyst or in a comparable quantitative role, delivering data solutions for product or business challenges
  • Demonstrated ability to design, implement, and own analytical work
  • Advanced SQL skills
  • Advanced experience conducting analysis with Python
  • Knowledge of data visualization principles and tools such as Looker and Plotly
  • Experience with cloud data warehouses, including GCP BigQuery or an equivalent platform
  • Experience in analytics engineering, including ETL, analytics pipelines, data modeling, and data testing with tools such as dbt or Dataform
  • Sound statistical knowledge is preferred
  • Familiarity with machine learning techniques is advantageous but not required
  • Strong collaboration, communication, and interpersonal abilities
  • Good command of English

Imtiyozlar

  • A collaborative and welcoming work culture
  • Opportunities for personal and professional development
  • Diverse and inclusive teams
  • Technology-enabled products, platforms, and services
  • The chance to contribute to meaningful, engaging projects

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