Analytics Engineer (m/f/x)

Analytics Engineer (m/f/x)

Karlsruhe Vollzeit 43200 - 72000 € / Jahr (geschätzt) Kein Homeoffice möglich
T

Auf einen Blick

  • Aufgaben: Leverage data to drive strategic decisions and optimize business-ready datasets.
  • Unternehmen: Join Tipico, Germany's leading sports betting provider, known for innovation and excitement in iGaming.
  • Vorteile: Enjoy personal growth opportunities, relocation support, business bike leasing, and a corporate pension scheme.
  • Weitere Informationen: Work in modern offices with the latest tech and enjoy team events and a supportive environment.
  • Warum dieser Job: Be part of a dynamic culture that values trust, progress, and passion while working with cutting-edge technologies.
  • Qualifikationen: Bachelor's degree in Computer Science or related field; 5 years experience; strong Python and SQL skills required.

Das prognostizierte Gehalt liegt zwischen 43200 - 72000 € pro Jahr.

Company Description

We are Tipico, the leading sports betting provider in Germany. We are not only one of the coolest sports brands, but also one of the most exciting iGaming companies. Everyone knows us, and we release and promote games from the most popular providers in the world of iGaming. We ensure that our players always enjoy a safe and responsible environment full of action every day!

We are fueled by our passion for the perfect product, using the newest technologies and partnering with the best to make advances every single day. Our culture is bursting with energy and ambition where we generate intense moments of Spannung, thriving through our values of Trust, Progress, and Passion. We push the limits of what’s possible because we believe that when adrenaline meets progress, extraordinary things happen.

Are you ready to turn up the power and bring the thrill of Spannung into your working life? Then show us your game face – because we’re looking for an Analytics Engineer (m/f/x) to join our team!

Job Description

As an Analytics Engineer (m/f/x) , you will be at the forefront of leveraging data to drive strategic business decisions. Your role will involve designing, developing and optimizing business-ready datasets to ensure seamless data flow and accessibility. Collaborating closely with business stakeholders and analysts, you will translate business requirements into technical solutions, building and maintaining scalable self-service data models and tooling to support analytics initiatives.

Your playing field:

  • Develop and maintain reporting solutions utilizing Python and SQL, encompassing inventory management and documentation upkeep.
  • Establish and maintain Business Ready Datasets across multiple tools to enable self-service capabilities for the business, guaranteeing quality, completeness, and consistency of data.
  • Develop and maintain data pipelines within the Data Warehouse and across various tools utilizing SQL, DBT, Jenkins and Airflow.
  • Support the business in developing their KPIs.
  • Monitor the performance of Data Management Tooling and ensure day-to-day quality.
  • Stay updated on emerging trends and technologies in data management, business intelligence and data analytics.
  • Provide technical support and assistance to end-users to maximize the value of BI solutions.
  • Collaborate with cross-functional teams including data engineers, data scientists, and business analysts to deliver integrated data solutions.

Qualifications

Which skills should you bring to the pitch:

  • Bachelor\'s degree in Computer Science, Information Systems, or a related field. Advanced degree preferred.
  • 5 years of work experience in a relevant role.
  • Strong proficiency in Python programming language for data manipulation and analysis.
  • Advanced knowledge of SQL and database management systems.
  • Experience with data warehousing concepts, dimensional modeling, and ETL processes and scheduling tools like Jenkins and Airflow.
  • Proficiency in data visualization tools such as Domo, Tableau, or similar platforms.
  • Familiarity with cloud-based data platforms like AWS and with Data building tools like DBT is a plus.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Strong communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams.
  • Self-motivated with the ability to work independently and manage multiple tasks simultaneously.

Who we’re looking for:

  • Agile Mindset. This is about learning and adapting, continuously improving what we do to deliver a valuable product to our customers. You collaborate and communicate leading to team success.
  • Team player. We love learning from each other, great ideas are shaped and inspired by other ideas in order to achieve the simplest, smartest and safest solution.
  • Innovative. We create space for ideas and love to use the newest technologies. To be cutting edge, we need to stay on top and deliver an amazing digital experience.

Additional Information

This is how we score with you:

  • Established International Group. We have a solid foundation on which to grow.
  • Personal and Professional Growth. We offer you opportunities to develop and grow to unlock your potential.
  • Relocation Support. To make your move to Karlsruhe as smooth as possible.
  • Business Bike Leasing. We offer a sustainable commuting solution whilst also keeping you active!
  • Corporate Pension Scheme (betriebliche Altersvorsorge). Secure your future! Join our corporate pension scheme where we provide additional financial support.
  • eGym. We encourage an active lifestyle and to support this we’ve partnered with an online sports platform that provides access to a variety of clubs and offers across Germany.
  • Modern offices. Our very own Karlsruhe campus provides an open-plan space with the latest technology.
  • Events. Sponsored Charity and Team gatherings, we like to have fun together as one team and reinforce our connections.
  • Supportive Environment. We believe in collaboration and working together as a team, but we also give importance to the uniqueness of each and every one of us.
  • You choose your own hardware. MacBook or Windows? We love tech and this helps us stay ahead.

Think a career at Tipico’s right for you?

Apply now and join our winning team! If you have any questions or comments about this role, our TA team is happy to help you! Feel free to reach out to us on our social media channels.

We look forward to your application!

#J-18808-Ljbffr

Analytics Engineer (m/f/x) Arbeitgeber: Tipico

At Tipico, we pride ourselves on being a leading employer in the iGaming industry, offering a vibrant work culture that thrives on trust, progress, and passion. Our Karlsruhe campus is designed for collaboration and innovation, providing modern offices and opportunities for personal and professional growth, including relocation support and a corporate pension scheme. Join us to be part of a dynamic team where your contributions are valued, and you can enjoy a healthy work-life balance with benefits like business bike leasing and access to eGym.

T

Kontaktdaten:

Tipico Recruiting-Team

StudySmarter Expertenrat🤫

Wir sind der Meinung, dass Sie so Analytics Engineer (m/f/x) erhalten könnten

Tip Number 1

Make sure to showcase your experience with Python and SQL in your discussions. Highlight specific projects where you've utilized these skills to solve real business problems, as this will resonate well with the team at Tipico.

Tip Number 2

Familiarize yourself with data warehousing concepts and tools like DBT, Jenkins, and Airflow. Being able to discuss how you've used these technologies in past roles will demonstrate your readiness for the challenges of the Analytics Engineer position.

Tip Number 3

Prepare to discuss your experience with data visualization tools such as Domo or Tableau. Be ready to share examples of how you've created impactful visualizations that helped drive business decisions.

Tip Number 4

Emphasize your ability to collaborate with cross-functional teams. Share examples of how you've worked with data engineers, data scientists, or business analysts to deliver integrated data solutions, as teamwork is highly valued at Tipico.

Wir glauben, dass du diese Fähigkeiten brauchst, um Analytics Engineer (m/f/x) mit Bravour zu bestehen

Python Programming
SQL Proficiency
Data Warehousing Concepts
ETL Processes
Jenkins
Airflow
Data Visualization Tools (e.g., Domo, Tableau)

Einige Tipps für deine Bewerbung 🫡

Understand the Company Culture:Before applying, take some time to understand Tipico's culture and values. Highlight how your personal values align with their emphasis on Trust, Progress, and Passion in your application.

Tailor Your CV:Make sure your CV reflects your experience with Python, SQL, and data warehousing concepts. Use specific examples from your past work that demonstrate your analytical skills and ability to collaborate with cross-functional teams.

Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for the role and the company. Discuss your agile mindset and how you have adapted to challenges in previous roles, showcasing your innovative approach to problem-solving.

Showcase Relevant Projects:If you have worked on relevant projects or have experience with data visualization tools like Tableau or Domo, be sure to mention these in your application. Provide links to any portfolios or GitHub repositories if applicable.

Wie man sich auf ein Vorstellungsgespräch bei Tipico vorbereitet

Show Your Technical Skills

Be prepared to discuss your proficiency in Python and SQL. Bring examples of past projects where you utilized these skills, especially in data manipulation and analysis.

Understand the Business Context

Familiarize yourself with the iGaming industry and Tipico's role within it. Be ready to discuss how your analytical skills can drive strategic business decisions and support KPIs.

Demonstrate Collaboration

Highlight your experience working with cross-functional teams. Share specific examples of how you've collaborated with data engineers, data scientists, or business analysts to deliver integrated data solutions.

Emphasize an Agile Mindset

Discuss your approach to learning and adapting in a fast-paced environment. Provide examples of how you've continuously improved processes or products in your previous roles.