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- Aufgaben: Lead the product analytics function and build a state-of-the-art data platform.
- Arbeitgeber: Join LeanIX, a leader in Enterprise Architecture management, driving innovation in SaaS solutions.
- Mitarbeitervorteile: Enjoy a dynamic scale-up environment with opportunities for growth and collaboration.
- Warum dieser Job: Make impactful data-driven decisions and empower teams to enhance products and processes.
- Gewünschte Qualifikationen: Experience in team leadership, product management, and modern data architectures is essential.
- Andere Informationen: Fluent English is mandatory; familiarity with Azure and reporting tools like Tableau is a plus.
Das voraussichtliche Gehalt liegt zwischen 72000 - 84000 € pro Jahr.
We are looking for a Data Engineering Manager to drive our product analytics function, platform, and operations. Take advantage of the scale-up dynamic of the leader of Enterprise Architecture management while taking ownership of the product analytics function, supporting our organization with standardised reports as well as analytics capabilities.
We are looking for a person who loves generating insights from data and enables teams to leverage these insights to improve a product or a process. You love „connecting the dots“ across different teams and jointly building a state-of-the-art product analytics data platform . You believe in the value of data-driven decisions and 5 whys to enable Product Managers. You also enjoy working on informing the LeanIX Leadership and Management teams on key performance indicators of our leading SaaS Enterprise Architecture platform.
What is waiting for you?
- You will be build and own the Product Analytics data platform in LeanIX
- You will be responsible for the Product Analytics strategy, define the product analytics backlog and roadmap, and engage in the regular prioritization discussion to get things implemented
- Lead and build a team of data engineers and analysts.
- Coach the team in working collaboratively with other engineers and data experts to grow platform adoption
- Continuously improve the environment and processes to support the data platform growth, maturity and compliance with best practices together with the team and other leaders
- Create and steer the data platform strategy with the team in alignment with wider business, product, tech and data strategies
- Represent Product Analytics in key initiatives and projects within the department or across the company and ensure they get delivered.
- Your work closely together with our BI team to help building appropriate solutions and processes supporting our product analytics strategy.
What are we looking for?
- We are looking for an adept at building high-performing teams through fostering trust, continuous improvement, and iterative development
- Experience in working with product management, preferably in a multi-team setup
- Experience in defining and developing dashboards for various levels of an organization (from KPI- style reports to more interactive „self-serviced“ solutions)
- Knowledge on how to build and maintain a „self-service“ oriented product analytics function, enabling product teams to become more data-driven in their decisions
- As a hands-on leader, you will contribute directly to developing best-in-class tools and guidelines for our engineers, prioritizing customer needs and measurable outcomes
- Experience in Microsoft Azure or similar cloud-native platforms
- Familiarity with modern data architectures like data lakes, data warehouses, lakehouses etc.
- Extended knowledge on data ingestion, ETL ,/ELT processes and data requirements
- Experience with using Databricks, Tableau, PowerBI, or similar reporting tools; Python or a knowledge of common query languages such as SQL, KQL or similar is a plus
- Fluent English is mandatory
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Data Engineering Manager (f/m/d) Arbeitgeber: LeanIX Jobs
Kontaktperson:
LeanIX Jobs HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineering Manager (f/m/d)
✨Tip Number 1
Familiarize yourself with the latest trends in data engineering and analytics. Understanding modern data architectures like data lakes and warehouses will give you an edge when discussing your vision for the Product Analytics data platform.
✨Tip Number 2
Showcase your experience in building high-performing teams. Be ready to discuss specific examples of how you've fostered trust and continuous improvement within your teams, as this aligns closely with what we value at StudySmarter.
✨Tip Number 3
Prepare to talk about your hands-on experience with tools like Databricks, Tableau, or PowerBI. Highlight any projects where you developed dashboards or self-service solutions that empowered product teams to make data-driven decisions.
✨Tip Number 4
Be ready to discuss your approach to collaborating with cross-functional teams, especially with product management. We value candidates who can connect the dots across different teams and drive initiatives that enhance our product analytics capabilities.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineering Manager (f/m/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineering Manager position. Understand the key responsibilities and required skills, such as experience with product management and data analytics tools.
Tailor Your CV: Customize your CV to highlight relevant experiences that align with the job requirements. Emphasize your leadership skills, experience in building high-performing teams, and familiarity with data platforms like Microsoft Azure.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven decision-making and your ability to connect insights across teams. Mention specific examples of how you've successfully implemented product analytics strategies in the past.
Highlight Technical Skills: In your application, make sure to mention your technical expertise with tools like Databricks, Tableau, and PowerBI, as well as your knowledge of SQL or Python. This will demonstrate your capability to contribute to the team effectively.
Wie du dich auf ein Vorstellungsgespräch bei LeanIX Jobs vorbereitest
✨Show Your Passion for Data
Make sure to express your enthusiasm for data-driven decision-making. Share examples of how you've used data insights to improve products or processes in your previous roles.
✨Demonstrate Team Leadership Skills
Prepare to discuss your experience in building and leading high-performing teams. Highlight specific instances where you fostered trust and collaboration among team members.
✨Be Ready to Discuss Analytics Tools
Familiarize yourself with the tools mentioned in the job description, such as Databricks, Tableau, and PowerBI. Be prepared to talk about your experience with these tools and how you've used them to create impactful dashboards.
✨Connect the Dots Across Teams
Illustrate your ability to work cross-functionally by sharing examples of how you've collaborated with product management and other teams. Emphasize your understanding of how different departments can leverage data analytics.
