Springer Nature
Springer Nature
Springer Nature एक अंतरराष्ट्रीय अकादमिक प्रकाशक और सूचना प्रदाता है, जिसके पास शोध, स्वास्थ्य सेवा, शिक्षा, व्यवसाय और पेशेवर समुदायों की सेवा करने का 180 से अधिक वर्षों का अनुभव है। इसका प्रकाशन पोर्टफोलियो विज्ञान, प्रौद्योगिकी, चिकित्सा, व्यवसाय और शिक्षा के क्षेत्रों में फैला हुआ है, जिससे शोधकर्ताओं, चिकित्सकों, शिक्षकों और अन्य पेशेवरों को पुस्तकों, जर्नलों, शोध तथा उपयोगी अंतर्दृष्टियों तक पहुँच मिलती है। कंपनी Nature और अन्य प्रभावशाली जर्नलों का प्रकाशन करती है, जिनमें ओपन ऐक्सेस सामग्री का एक बड़ा हिस्सा शामिल है, और दुनिया भर के कार्यालयों में कार्यरत वैश्विक टीम के माध्यम से संचालित होती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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