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- Aufgaben: Lead data and analytics teams, driving strategy and optimizing infrastructures.
- Arbeitgeber: Join a global leader in information services with a strong focus on innovation.
- Mitarbeitervorteile: Enjoy a full-time role with opportunities for professional growth and collaboration.
- Warum dieser Job: Be the expert in data governance and make impactful decisions in a dynamic environment.
- Gewünschte Qualifikationen: Must have senior leadership experience and expertise in data tools like Snowflake and Python.
- Andere Informationen: Ideal for those passionate about data-driven solutions and strategic insights.
Das voraussichtliche Gehalt liegt zwischen 72000 - 84000 € pro Jahr.
Our client who have a global presence is seeking an experienced professional to lead its data, analytics / engineering teams.
This role involves driving a future-proof data strategy, optimising data infrastructures, and fostering collaboration across various business units.
Responsibilities:
- Lead and develop direct reports
- Ensuring technical and professional growth
- Collaborate closely with IT, marketing, and other stakeholders
- Enhance data operations and optimise databases
- Be the go-to expert for data governance, warehousing, modeling, and management
- Define & implement a scalable, cost-efficient data strategy in alignment with business goals
- Oversee the development of data-driven architectures, infrastructures, and analysis tools
Requirements:
- Experience in a senior data leadership role, managing teams larger than 10 direct reports
- Strategic & Business mindset with the ability to provide consultative insights
- Expertise in data & analytics tools, including Snowflake, AWS, Apache Airflow, and Python
- Passion for data-driven decision-making and scalable solutions
Seniority level
Director
Employment type
Full-time
Job function
Information Technology
Industries
Information Services
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Head of Data Analytics Arbeitgeber: MAM Gruppe
Kontaktperson:
MAM Gruppe HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Head of Data Analytics
✨Tip Number 1
Make sure to showcase your leadership experience in data analytics. Highlight specific instances where you've successfully managed teams of 10 or more, as this is a key requirement for the role.
✨Tip Number 2
Demonstrate your strategic mindset by discussing how you've previously aligned data strategies with business goals. Be prepared to share examples of consultative insights you've provided to stakeholders.
✨Tip Number 3
Familiarize yourself with the specific data tools mentioned in the job description, such as Snowflake and AWS. Being able to speak confidently about your experience with these technologies will set you apart.
✨Tip Number 4
Show your passion for data-driven decision-making by discussing projects where you've implemented scalable solutions. This will demonstrate your commitment to enhancing data operations and optimizing infrastructures.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Head of Data Analytics
Tipps für deine Bewerbung 🫡
Understand the Role: Take the time to thoroughly understand the responsibilities and requirements of the Head of Data Analytics position. Highlight your relevant experience in leading data teams and driving data strategies.
Tailor Your CV: Customize your CV to reflect your experience with data governance, analytics tools like Snowflake and AWS, and your leadership skills. Use specific examples that demonstrate your ability to manage large teams and implement scalable solutions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven decision-making. Discuss how your strategic mindset aligns with the company's goals and how you can enhance their data operations.
Highlight Collaboration Skills: Emphasize your experience in collaborating with various business units, such as IT and marketing. Provide examples of how you've successfully fostered teamwork and communication in previous roles.
Wie du dich auf ein Vorstellungsgespräch bei MAM Gruppe vorbereitest
✨Showcase Your Leadership Experience
Be prepared to discuss your previous roles where you managed teams of more than 10 direct reports. Highlight specific examples of how you developed your team members and drove their professional growth.
✨Demonstrate Strategic Thinking
Articulate your approach to developing a data strategy that aligns with business goals. Share insights on how you've previously optimized data infrastructures and enhanced collaboration across departments.
✨Highlight Technical Expertise
Familiarize yourself with the tools mentioned in the job description, such as Snowflake, AWS, Apache Airflow, and Python. Be ready to discuss how you've utilized these technologies in past projects to drive data-driven decision-making.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in data governance or management and how you overcame them, showcasing your consultative insights.
