Data Analyst - ID:2304384

ABOUT US

Make a Real Difference

At Prewave, we are dedicated to making a positive impact on the world. Our innovative AI solutions help businesses identify and predict global supply chain risks. Our aim is to make supply chains more resilient, transparent and sustainable. By doing this we help companies to ensure fair working conditions, eliminate child labour, reduce waste and promote sustainable practices across global supply chains.

Trusted by Global Industry Leaders

Prewave proudly partners with industry leaders such as BMW, Kärcher, Hilti, PwC, and Porsche. Our supply chain superintelligence helps navigate complex supply chain challenges, ensuring operational integrity and enhancing market leadership.

ABOUT THE JOB

We are looking for a Data Analyst (f/m/d) who uncover valuable findings from our data, proactively identify opportunities to improve our processes, and empower our teams. Your main tasks will be:

• Extract, manipulate and analyse complex data structures to solve customer problems and elevate the team.
• Manage and fulfill data requests from the Customer Success and Data Management teams, acting as a key point of contact.
• Perform analysis using your coding and scripting skills to support our research team's key initiatives.
• Proactively identify data bottlenecks, inefficiencies and recurring requests, working collaboratively with Product and development to improve these processes with innovative solutions.
• Communicate complex data analysis processes in a clear and compelling way to both technical and non-technical stakeholders.

ABOUT YOU

Must-haves:

• 3+ years of experience as a Data Analyst or in a similar role.
• Proficiency in SQL for data extraction and manipulation.
• Experience with Python, and tools like Jupyter Notebook
• Strong eye for detail and excellent skills in managing priorities and timelines
• A highly proactive, self-starter mindset with excellent problem-solving skills
• A valid work permit in Austria

Bonus points for:

• Experience with data visualization tools like Tableau or Power BI.
• Experience with JVM languages (Scala, Java etc) or functional programming languages (Haskell, Elixir etc)
• Hands on experience with AI tolls to solve complex problems and optimise daily operations
• A passion for knowledge sharing and an ability to empower others by teaching basic data analysis techniques

PREWAVE AS A WORKPLACE

Competitive Compensation and Benefits: We recognise and reward talent. In line with Austrian law, we are required to state the minimum salary as per the collective agreement. You'll receive minimum EUR 44,450 gross yearly based on collective agreement, the actual compensation being tailored to your qualifications, experience, and the role

Inclusive and Supportive Work Environment: Join a dynamic team in a welcoming and inclusive atmosphere. We celebrate diversity and are committed to fostering a workplace where all backgrounds, identities, and experiences are valued. Your voice is important here.

Work-Life Balance: Your well-being matters. Enjoy flexible working hours and options for working from home to promote a healthy balance between your professional and personal life.

What our employees love:

• Celebrate Your Birthday: Enjoy an extra vacation day to make your birthday special.
• Health and Wellness Initiatives: Benefit from our Eversports partnership, mental health support, shiatsu sessions, and regular health check-ups.
• Training and Development: Access company-wide German and soft skills training and work with your manager on your personal growth plan.
• Engaging Team Events: Join us for cheese tastings, ping-pong tournaments, company dinners, seasonal celebrations, and more.
• Office Snacks and Fruits: Stay energised with a variety of snacks and fresh fruits available in the office.
• Your Device of Choice: Windows, MacOS, or Linux – pick your preferred setup.

Join Prewave and be part of a passionate team committed to building a future where businesses can thrive alongside ethical and sustainable practices and track ESG (environmental, social, and governance) risks in their supply chains.