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- Aufgaben: As a Data Analyst, you'll analyze data to drive strategic decisions and optimize product development.
- Arbeitgeber: PAUL Tech AG is a tech leader focused on making buildings carbon neutral through innovative solutions.
- Mitarbeitervorteile: Enjoy 30 vacation days, private health insurance, fitness subsidies, and regular company events.
- Warum dieser Job: Join us to combat climate change while working in a collaborative and impactful environment.
- Gewünschte Qualifikationen: Proven data analysis experience, proficiency in SQL/Python, and strong analytical skills are required.
- Andere Informationen: Work in Mannheim or Berlin with a permanent contract and above-average salary.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
PAUL Tech AG is a technology leader in the real estate industry with the **mission to make buildings **carbon neutral. Our proprietary technology, consisting of IoT-enabled hardware and AI-supported software, permanently optimizes water-bearing systems in buildings. This **reduces CO2 emissions and **energy costs. Everyone benefits: owners, operators, occupants and the climate. At Paul, we are researchers, developers and practitioners with the **common goal of developing intelligent solutions for buildings to **combat climate change. Therefore we are **looking for you to drive our scaling as
**Data Analyst (m/f/d) in Mannheim
APCT1_DE
Data Analyst (m/f/d) Arbeitgeber: PAUL Tech AG
Kontaktperson:
PAUL Tech AG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Analyst (m/f/d)
✨Tip Number 1
Familiarize yourself with the specific data tools mentioned in the job description, like SQL and Python. Having hands-on experience or projects showcasing your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Understand the real estate industry and the importance of carbon neutrality. Being able to discuss how data analysis can contribute to sustainability efforts will demonstrate your alignment with PAUL Tech AG's mission.
✨Tip Number 3
Prepare to showcase your collaborative skills. Think of examples where you've worked with cross-functional teams to solve problems or develop data solutions, as this role emphasizes teamwork and stakeholder collaboration.
✨Tip Number 4
Practice communicating complex data insights in a clear and compelling way. You might be asked to explain your findings during the interview, so being able to articulate your thoughts effectively is crucial.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Analyst (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Company Mission: Before applying, familiarize yourself with PAUL Tech AG's mission to make buildings carbon neutral. Highlight how your skills and experiences align with their goals in your application.
Tailor Your CV: Customize your CV to emphasize your experience in data analysis, particularly in a business context. Include specific examples of how you've used SQL, Python, or data visualization tools like Power BI or Tableau.
Craft a Compelling Cover Letter: Write a cover letter that showcases your analytical problem-solving skills and your passion for data. Mention your collaborative mindset and how you can contribute to cross-functional teams at PAUL Tech AG.
Highlight Relevant Projects: In your application, include details about relevant projects where you framed analytical questions, developed data models, or communicated insights effectively. This will demonstrate your capability to support data-driven decision-making.
Wie du dich auf ein Vorstellungsgespräch bei PAUL Tech AG vorbereitest
✨Understand the Company Mission
Make sure to familiarize yourself with PAUL Tech AG's mission to make buildings carbon neutral. Be prepared to discuss how your skills as a Data Analyst can contribute to this goal and how data-driven decisions can help combat climate change.
✨Showcase Your Technical Skills
Highlight your proficiency in SQL and Python during the interview. Be ready to provide examples of how you've used these tools in previous roles to analyze data and develop models that support business objectives.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with various teams, think of examples where you've successfully collaborated with stakeholders. Discuss how you framed analytical problems and integrated data from different sources to create comprehensive solutions.
✨Communicate Insights Effectively
Practice explaining complex data insights in a clear and compelling manner. Prepare to discuss how you've previously communicated findings to non-technical stakeholders and how those insights influenced decision-making processes.
