Business Intelligence Engineer m/f/d
Business Intelligence Engineer m/f/d

Business Intelligence Engineer m/f/d

Vollzeit 43200 - 72000 € / Jahr (geschätzt) Kein Home Office möglich
DAZN

Auf einen Blick

  • Aufgaben: Collect, process, and analyze large datasets to extract insights.
  • Arbeitgeber: Join DAZN BET, a leader in sports entertainment technology.
  • Mitarbeitervorteile: Enjoy remote work flexibility and collaborative team culture.
  • Warum dieser Job: Make data-driven decisions that impact the sports industry.
  • Gewünschte Qualifikationen: Proficiency in Python, R, SQL, and data visualization tools required.
  • Andere Informationen: Work with cross-functional teams to drive meaningful change.

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

Business Intelligence Engineer m/f/d

Department: 61-446 – Technology – Product Technology

Employment Type: Full Time

Location: Austria Home/Remote

Description

THE ROLE:

The DAZN BET’s BI Analyst/Engineer role is responsible for collecting, processing, and performing analyses on large datasets to extract meaningful insights. This role involves using statistical tools, programming languages, and data visualization techniques to support data-driven decision-making. Role ensures that data flows smoothly from source to destination, making it accessible for other analysts.

As our new Business Intelligence Engineer, you’ll have the opportunity to:

  1. Data Collection and Processing: Gather data from various sources (databases, APIs, spreadsheets), clean and validate it to ensure accuracy, and prepare it for analysis.
  2. Data Analysis: Utilize statistical methods, algorithms, and analytical techniques to analyze data sets. Identify significant trends, patterns, and relationships.
  3. Data Visualization: Create detailed and interactive visualizations using tools like Tableau, Power BI, or custom dashboards to present findings clearly.
  4. Reporting: Develop comprehensive reports and presentations to communicate insights and recommendations to stakeholders.
  5. Design and Build Data Pipelines: Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
  6. Collaboration: Work closely with cross-functional teams, including Marketing, Operations, and Finance to understand their data needs and provide relevant analyses.

You\’ll have:

  1. Technical Proficiency: Strong skills in programming languages such as Python, R, and SQL.
  2. Experience with Cloud Services: Familiarity with AWS, Azure, or Google Cloud Platform.
  3. Data Visualization: Expertise in data visualization tools (e.g., Tableau, Power BI) and the ability to create compelling visual narratives.
  4. Data Modelling: Strong understanding of data modelling, ETL (Extract, Transform, Load) processes, and data warehousing solutions.
  5. Problem-Solving: Excellent analytical and problem-solving skills with attention to detail.
  6. Communication: Strong communication skills to work effectively with cross-functional teams.

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Business Intelligence Engineer m/f/d Arbeitgeber: DAZN

At DAZN BET, we pride ourselves on being an exceptional employer, offering a dynamic work environment in Austria that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a culture that values data-driven decision-making. Join us to be part of a team that not only values your contributions but also supports your professional development in the exciting field of business intelligence.
DAZN

Kontaktperson:

DAZN HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Business Intelligence Engineer m/f/d

✨Tip Number 1

Familiarize yourself with the specific tools and technologies mentioned in the job description, such as Python, R, SQL, and data visualization tools like Tableau or Power BI. Having hands-on experience or projects showcasing these skills can set you apart.

✨Tip Number 2

Network with professionals in the Business Intelligence field, especially those who work with DAZN or similar companies. Attend industry meetups or webinars to gain insights and potentially get referrals.

✨Tip Number 3

Prepare to discuss your experience with data pipelines and cloud services during the interview. Be ready to share specific examples of how you've built or maintained data systems in previous roles.

✨Tip Number 4

Showcase your problem-solving abilities by preparing case studies or examples where you successfully analyzed data to drive decision-making. This will demonstrate your analytical skills and your ability to communicate insights effectively.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Business Intelligence Engineer m/f/d

Data Collection and Processing
Statistical Analysis
Data Visualization
Tableau
Power BI
Python
R
SQL
AWS
Azure
Google Cloud Platform
Data Modelling
ETL Processes
Data Warehousing
Analytical Skills
Problem-Solving Skills
Attention to Detail
Communication Skills
Collaboration

Tipps für deine Bewerbung 🫡

Understand the Role: Make sure to thoroughly read the job description for the Business Intelligence Engineer position. Understand the key responsibilities and required skills, such as data collection, analysis, and visualization techniques.

Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with programming languages like Python, R, and SQL. Mention any projects where you have successfully used data visualization tools like Tableau or Power BI.

Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your analytical and problem-solving abilities. Highlight specific instances where you identified trends or patterns in data and how you communicated those insights.

Tailor Your Application: Customize your application materials to reflect the language and requirements mentioned in the job description. Use keywords related to data modeling, ETL processes, and cloud services to align with what the company is looking for.

Wie du dich auf ein Vorstellungsgespräch bei DAZN vorbereitest

✨Showcase Your Technical Skills

Be prepared to discuss your proficiency in programming languages like Python, R, and SQL. Bring examples of past projects where you utilized these skills, especially in data collection and processing.

✨Demonstrate Data Visualization Expertise

Familiarize yourself with tools like Tableau and Power BI. During the interview, be ready to explain how you've used these tools to create compelling visual narratives that helped stakeholders make informed decisions.

✨Highlight Problem-Solving Abilities

Prepare to discuss specific challenges you've faced in data analysis and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.

✨Emphasize Collaboration Skills

Since this role involves working closely with cross-functional teams, share examples of how you've successfully collaborated with different departments. Highlight your communication skills and ability to understand diverse data needs.

Business Intelligence Engineer m/f/d
DAZN
DAZN
  • Business Intelligence Engineer m/f/d

    Vollzeit
    43200 - 72000 € / Jahr (geschätzt)

    Bewerbungsfrist: 2027-01-21

  • DAZN

    DAZN

    1000 - 5000
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