Team Lead Modeled Data (f/m/d)
Hamburg
Statista
Find statistics, consumer survey results and industry studies from over 22,500 sources on over 60,000 topics on the internet's leading statistics databaseAt Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.
Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.
We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.
Are you ready to join us?
Your Tasks
Lead and mentor a team of analysts, fostering a motivated, stable, and high-performing environment.
Quantitative modeling and forecasting of global financial, mobility, and industrial market developments with Excel and Python-based models.
Identify strategic topics and drive content and product development initiatives.
Build and maintain trusted relationships with customers, leveraging their insights.
Execute cross-company projects successfully, ensuring proactive and tailored communication flows within and across departments.
Provide technical guidance in data operations and AI projects, ensuring best practices, efficient architecture, and scalable solutions.
Your Profile
Degree in Business Administration, Economics, Computer Science, Information Systems, Engineering, or a related field
At least 3-5 years of digital product ownership experience, with a strong affinity for working at the intersection of product and technology. First leadership experience is a plus.
Experience with market modeling principles and advanced comprehension of research methods.
Familiar with basic macroeconomic indicators, such as GDP, inflation, and exchange rates with good general knowledge about economic interrelationships of countries.
Development of largely automated data analyses (forecasts, optimization algorithms, and other analysis methods) to support business decisions using data visualization, statistics, and machine learning.
Python proficiency, including the ability to develop scalable ETL/ELT pipelines and experience in database management and optimization.
Identification, conceptualization, implementation, and evaluation of AI solutions for intelligent business processes.
Your Team
The Product Division is responsible for our platform products – from statistics and reports to consumer and industry insights – we create exclusive digital content from the world's most significant sources, our own primary data, and in-house AI-powered data tools. Over 400 experts, including researchers, analysts, product managers and data engineers, all work together to provide our customers with one integrated product experience – empowering people with reliable data to make fact-based decisions: https://www.statista.com/
What we offer
In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:
Work from abroad 10 days a year (up to 30 if your family lives abroad)
Hybrid work and flex-time
International team and social events
Career & training opportunities
Attractive locations and modern offices
Mental health support with OpenUp
Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Data Analytics DataOps Data visualization Economics ELT Engineering ETL Excel Industrial Machine Learning Pipelines Python Research Statistics
Perks/benefits: Career development Health care Startup environment Team events
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