(Senior) Analyst (m/f/d)

Statista
Hamburg
Full timeFunction: Solutions Engineering & Sales EngineeringExperience: 3+ yearsEducation: mastersSkills: ["Analytical mindset","Transforming complex data","Independent work","Reliable","Resilient team collaboration"]

Analyze quantitative education-related data that powers Statista’s Rankings, Ratings, and Benchmarking products. Define analytical models with topic experts, manage data-driven ranking projects end-to-end, and develop scoring frameworks grounded in academic research. Improve data structures, validation, transparency, and reporting standards through close collaboration with cross-functional teams, while leveraging AI capabilities to enhance efficiency and scalability.

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Statista
Statista
18 hours ago

(Senior) Analyst (m/f/d)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Analyze quantitative education-related data that powers Statista’s Rankings, Ratings, and Benchmarking products. Define analytical models with topic experts, manage data-driven ranking projects end-to-end, and develop scoring frameworks grounded in academic research. Improve data structures, validation, transparency, and reporting standards through close collaboration with cross-functional teams, while leveraging AI capabilities to enhance efficiency and scalability.
Location: Hamburg
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Maintain and further develop Statista’s rankings and data products with consistency, accuracy, and scalability.
  • •Collaborate on rankings and benchmarking projects from design through scoring and results analysis.
  • •Develop and document data models and scoring frameworks aligned with current academic research.
  • •Support building internal database structure with cross-departmental teams.
  • •Contribute to data transparency, quality, and alignment with reporting standards through data structures and identifying data needs.

Pay and Benefits

Perks:Remote WorkHybrid WorkHealth InsuranceGym Membership

Key Requirements

  • •Master’s degree (or equivalent) in Economy, Social Science, Data Science, or a related field.
  • •3+ years of experience in data analytics or data structures, ideally in a research environment.
  • •Good understanding of statistics and statistical modelling, supported by analytical job experience or research projects.
  • •Proven skills in Python (or R Studio) for data cleaning, data analysis, and data visualization; SQL is a plus.
  • •Experience delivering actionable, data-driven insights to decision makers.
Experience:3+ yearsData analyticsResearch environment
Education:Master's in Economy, Social Science, Data Science (or related field)
Skills:Analytical mindsetTransforming complex dataIndependent workReliableResilient team collaboration
Languages:EnglishGerman
Tech Stack:PythonR StudioSQLData visualizationData cleaningExcelMicrosoft OfficeLangdockOpenUp

Company Brief

Statista
Operates an online statistics portal providing market and consumer data, industry reports, and infographics. Serves businesses, researchers, and media with aggregated statistics and insights across global industries and topics.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Hamburg, Germany
Founded: 2007
WebsiteLinkedIn