(Senior) Analyst – Workplace & Employer Ranking Data (m/f/d)
(Senior) Analyst – Workplace & Employer Ranking Data (m/f/d)
(Senior) Analyst – Workplace & Employer Ranking Data (m/f/d)
(Senior) Analyst – Workplace & Employer Ranking Data (m/f/d)
Statista GmbH
Internet, Onlinemedien
Hamburg
- Art der Anstellung: Vollzeit
- 59.500 € – 71.500 € (von XING geschätzt)
- Vor Ort
- Zu den Ersten gehören
(Senior) Analyst – Workplace & Employer Ranking Data (m/f/d)
Über diesen Job
(Senior) Analyst – Workplace & Employer Ranking Data (m/f/d)
Location
Statista R Research & Analysis
At 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 Job
Design and implement scalable and efficient data pipelines and architectures
Develop and maintain database workflows, including data lakes and warehouses, and optimize data retrieval and develop dashboards and reports for users
Integrate dataflows from different systems through APIs and ensure data quality and reliability through cleaning, transformation, and validation
Collaborate with other analysts, data scientists, and IT to deliver datasets for analytics and reporting, and take part in analytical tasks and project work
Further integrate LLMs into workflows
Document existing and developed processes and solutions and contribute to creating future projects
Your Profil
Either Bachelor's or Master’s degree in Computer Science, Engineering, Economics, or a related field and/or proven experience as a data engineer or in a similar / adjacent role
Strong coding skills. Strong technical expertise in data modeling, mining, ETL and database design (SQL
, R, Python, cloud platforms , etc.) At least first experience in coding for the benefit of non-coders: knowledge of how to create a comfortable user experience/interface
Excellent analytical, problem-solving, and communication skills as well as being a real team player - we win together!
Strong sense of curiosity and problem-solving skills, and an interest in market research
Your Team
At Statista R, our team of over 130 analysts and sales specialists creates, publishes and distributes globally renowned company and brand toplists as well as rankings for a wide range of industries. As experts in rating companies, brands and products, we use our independent market research and data analysis expertise to identify the best in their respective industries, creating transparency and trust. Learn more at r.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
Free access to Perplexity Enterprise and all its amazing functionalities
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.
Gehalts-Prognose
Bewertung von Mitarbeitenden
Gesamtbewertung
Basierend auf 460 BewertungenVorteile für Mitarbeitende
Unternehmenskultur
Unternehmenskultur
460 Mitarbeitende haben abgestimmt: Sie bewerten die Unternehmenskultur bei Statista GmbH als modern. Dies stimmt ungefähr mit dem Branchen-Durchschnitt überein.