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- Aufgaben: Transform data into compelling stories for public sector decision-makers.
- Arbeitgeber: Join Polyteia, a leading SaaS platform revolutionizing public sector data usage.
- Mitarbeitervorteile: Enjoy 27 vacation days, Urban Sports Membership, and a great office in Berlin-Kreuzberg.
- Warum dieser Job: Make a real impact on government operations with cutting-edge technology and a supportive team.
- Gewünschte Qualifikationen: Passion for GovTech, strong analysis skills, and knowledge of SQL and programming languages required.
- Andere Informationen: Remote work options available; ideal for students looking to grow in an agile environment.
Your mission
Join us in supporting public administrations and politicians in making data-informed decisions!
Polyteia is on its way to become the leading SaaS data platform for the public sector and politicians. Polyteia enables the public sector to make databased decisions. Our cloud-based platform merges data from different data sources and offers public administrations and politicians on local, federal or state level real-time insights for optimal decision making.
We are currently looking for a Working Student Analytics Engineer (part-time, starting ASAP, in Berlin with remote possibility) to join our data team.
What to expect in your new role:
We are looking for someone with a passion for public policy and the ability to transform data into compelling stories. Specifically this means you will:
- explore data in different domains of the public sector (e.g. human resources, public services like schools or childcare, green energy) and transform it into meaningful data stories and visualisations for decisionmakers on different levels of the administration
- build, test and maintain automated data pipelines with airflow, python and dbt, as well as reliable predictive models
- support the process ranging from ideation, prototyping and implementation to standardisation, support and monitoring the solutions in production
- collaborate with other technical and non-technical teams in an agile environment
- take part in internal learning & growth projects
Your profile
- Passion for digital transformation of the public sector (GovTech)
- Excellent analysis and data modelling skills
- SQL and at least one programming language (e.g. Python, R, STATA)
- Independent problem solving
- Enjoy working in a communicative environment
- Plus: Prior experience in B2G companies and/or knowledge of the German administrative landscape
- Plus: Experience in maintaining production data pipelines (dbt)
- Plus: German Level B2 or higher (to answer data related questions our mostly german-speaking customers might have)
Why us?
- Working with a modern datastack in a supportive team
- Opportunity to contribute building up one of the first GovTech ventures in Europe
- Transform the way governments operate, plan and make choices with data and technology
- Shape the core platform and product modules of Polyteia with high responsibility from day one
- Being part of a team that is inter-disciplinary, top-performing and motivated by our mission
- 27 vacation days
- Urban Sports Membership or similar benefit
- great office in Berlin-Kreuzberg with “Spreeblick” (U-Bhf. Schlesisches Tor) with fresh fruits and snacks
#J-18808-Ljbffr
Working Student Analytics Engineer (m/f/d) Arbeitgeber: Polyteia GmbH
Kontaktperson:
Polyteia GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Working Student Analytics Engineer (m/f/d)
✨Tip Number 1
Familiarize yourself with the public sector landscape in Germany. Understanding the specific challenges and opportunities faced by public administrations will help you tailor your approach and demonstrate your passion for digital transformation in this area.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source initiatives that involve data analysis and pipeline automation to showcase your technical abilities.
✨Tip Number 3
Engage with communities focused on GovTech and data analytics. Networking with professionals in these fields can provide insights into industry trends and may lead to valuable connections that could support your application.
✨Tip Number 4
Prepare to discuss how you can transform data into compelling stories. Think of examples from your past experiences where you've successfully communicated complex data insights to non-technical stakeholders, as this will be key in your role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Working Student Analytics Engineer (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Working Student Analytics Engineer position. Understand the key responsibilities and required skills, especially the importance of data storytelling and technical abilities in SQL and Python.
Tailor Your CV: Customize your CV to highlight relevant experiences that align with the job requirements. Emphasize any previous work or projects related to public policy, data analysis, or programming, particularly in a B2G context.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for digital transformation in the public sector. Discuss how your skills and experiences make you a great fit for the role and how you can contribute to Polyteia's mission.
Highlight Language Proficiency: If you have German language skills, be sure to mention your proficiency level (B2 or higher) in your application. This is crucial for communicating with German-speaking customers and teams.
Wie du dich auf ein Vorstellungsgespräch bei Polyteia GmbH vorbereitest
✨Show Your Passion for Public Policy
Make sure to express your enthusiasm for the digital transformation of the public sector. Share any relevant experiences or projects that demonstrate your commitment to using data for impactful decision-making.
✨Demonstrate Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and any other programming languages you know. Highlight specific projects where you've built or maintained data pipelines, as this will show your practical knowledge in a real-world context.
✨Prepare Data Stories
Since the role involves transforming data into compelling stories, think of examples where you've done this before. Be ready to explain how you approached the analysis and what insights you derived from the data.
✨Familiarize Yourself with Agile Methodologies
As the team works in an agile environment, it’s beneficial to understand agile principles. Be ready to discuss how you’ve collaborated with both technical and non-technical teams in past projects, showcasing your communication skills.
