Senior BI and Data Analyst (f/m/d)

Are you ready to shape the future of data at woom? As our Senior BI and Data Analyst, you will be a driving force in executing our BI strategy, digitizing commercial steering and analyzing data to generate steering relevant insights. You integrate Business Intelligence into the heart of woom's decision-making processes, enabling and inspiring data usage across the entire organization. By developing sophisticated data models, creating data visualizations and applying modern analytics, you directly empower our teams to make smarter, data-backed decisions. Senior BI and Data Analyst (f/m/d) Your Mission • You define data requirements and create BI solutions in close cooperation with the FP&A (financial planning & analysis) team and our various departments. • You apply your subject matter expertise in the field to implement requirements for our data models and foster a data-driven culture by driving the adoption of PowerBI. • You solve complex issues with robust data models and automate analysis methods using programming languages such as SQL, PowerQuery, DAX and Python. • You apply modern analytics such as machine learning to support the business by flagging risks and opportunities from data trends. • You develop and maintain PowerBI dashboards and reports--from initial design and implementation to testing and final acceptance by our internal customers. • You continuously improve data queries and the performance of our PowerBI reports to ensure seamless usage. • You act as the main point of contact between the IT infrastructure/data integration team and our collaborating business departments. • You are a key contributor and process lead within the data governance process. Your Skills • Completed business or technical degree (FH, university) with quantitative/data focus such as business informatics, computer science, data science or economics. • You have extensive experience in BI and data analytics with a proven track record of delivering end-to-end BI solutions. • You are highly proficient in programming languages such as Python and PowerQuery. SQL experience is a plus. • You have a deep understanding of data visualization and have successfully built and maintained sophisticated PowerBI reports. • You excel at simplifying complex data structures and communicating insights effectively to diverse stakeholders. • You have practical knowledge of applying machine learning techniques to identify data trends, flag risks, and uncover business opportunities • You thrive in a collaborative environment and enjoy acting as a bridge between technical and non-technical teams. • You are committed to data excellence and have the experience to lead data governance processes and ensure high data accuracy. Salary For this position, we offer you a gross monthly salary starting at EUR 4.000 on a full-time basis. Of course, we take into account your individual qualifications and experience and are willing to pay an appropriate overpayment. We will be happy to discuss details in person. Who we are Our sustainable and lightweight bikes have won awards and created a loyal customer base all over the world! We are an international, multicultural team with more than 15 nationalities. With over 200 employees it can be difficult to maintain the startup atmosphere, so we place a lot of emphasis on a friendly working atmosphere and extensive onboarding. We focus on diversity and celebrate it. Equal opportunities for everyone and an anti-discriminatory personnel policy are particularly important to us. About this job Employment type: Full Time (Permanent employment) Salary: from 4,000 EUR monthly Seniority level: Professional Experience Work model: Hybrid Place of work: Wien Field of work: IT, Data Processing Unfilled vacancies: 1 vacancy unfilled for this position About the company Employer: woom GmbH Number of employees: employees Locations: Wien Details about this job Full Time (Permanent employment) • Monday to Friday • 38,5 hours Place of work • Wien Must-have skills • BI • data analytics • Python • PowerQuery • data visualization • PowerBI reports • applying machine learning techniques Nice-to-have skills • SQL