Data Analyst (m/f/d) - SAP & Finance

at  Statista

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?

REQUIREMENTS

• Proven proficiency in SQL and experience working with data warehouses like Redshift.
• Hands-on data modeling skills and familiarity with dbt.
• Understanding of SAP-data and the SAP-system as well as Finance processes.
• Adeptness in translating business needs into data models.
• Exceptional communication skills in both spoken and written in English. German is a plus.
• Analytical mindset with the ability to identify patterns, trends, and insights from data.
• Strong collaboration skills, with the ability to work closely with teams and stakeholders at all levels of the organization.

• Assume responsibility for the development and refinement of the data models in our Redshift data warehouse.
• Help transition our current MS Navision-based financial reporting to a newly designed SAP-based reporting.
• Act as a bridge between Finance Controlling, Finance Tech and Data Department. Systematically translate business requirements and questions into precise data queries and insightful data models.
• Provide crucial support to our Embedded Analysts and Finance Controlling Team, aiding in their understanding and utilization of the data warehouse.
• Engage with stakeholders across the organization driving value from our data.