Data Analyst - Technology
@ Statista

Hamburg, Hamburg, Germany
€60,000
On Site
Full Time
Posted 1 day ago

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XXXXXXXX XXXXXXXXXXXXX XXXXXXXX***** @statista.com
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Job Details

About the Role

At Statista, the world's leading business data platform, you will analyze global market trends, focus on technology sector dynamics, and assess structural shifts that impact the industry. Using quantitative models with statistical and machine learning techniques, you will forecast and analyze various technology markets.

Your Responsibilities

  • Analyze global market trends and technology sector shifts.
  • Design, develop, and maintain quantitative models.
  • Implement automation tools and code enhancements.
  • Communicate complex data into actionable insights.

Your Skills

  • At least 1 year of relevant experience in data science or market analysis.
  • Advanced skills in Python, SQL, and Excel.
  • Proficient in data wrangling, cleaning, and transformation.
  • Strong command of statistical methods and machine learning models.
  • Exposure to AI and agent-based systems is a plus.
  • Excellent English communication skills.

What We Offer

  • Hybrid work arrangement with flex-time.
  • International team and social events.
  • Opportunities for career and training development.
  • Modern offices at attractive locations.
  • Mental health support and additional employee benefits.

Key skills/competency

Data Analysis, Python, SQL, Excel, Market Trends, Statistical Modeling, Machine Learning, Automation, Data Wrangling, Communication

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How to Get Hired at Statista

🎯 Tips for Getting Hired

  • Research Statista's culture: Understand their global data-driven mission and values.
  • Customize your resume: Highlight data science and analytics skills.
  • Emphasize technical expertise: Showcase Python, SQL, Excel proficiency.
  • Prepare for interviews: Practice explaining quantitative models and market analysis.

📝 Interview Preparation Advice

Technical Preparation

Review Python libraries and SQL queries.
Practice statistical modeling techniques.
Study machine learning algorithms and forecasting.
Refresh data cleaning and transformation skills.

Behavioral Questions

Describe a challenge solved with data analysis.
Explain a time you automated a process.
Discuss how you work independently in teams.
Share an example of clear technical communication.

Frequently Asked Questions