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Data Analytics Tech Lead (m/f/d) - relocation at Transparent Hiring

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree in Computer Science or related field, Minimum of 5 years in leadership/project management, Experience as Data Scientist, Engineer, etc., Proven record in large enterprises, Hands-on experience with Microsoft Azure and Databricks.

Key responsabilities:

  • Lead a data analytics team of 7 employees
  • Collaborate with Product Owner and Chapter Leads
  • Balance people management and technical tasks
  • Develop strategic solutions with business partners
  • Identify opportunities for process optimization
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Transparent Hiring Startup
11 - 50 Employees
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Job description

Our partner, a well-known international corporation, is seeking a Data Analytics Tech Lead (m/f/d) to join their team. This is a full-time position in the Düsseldorf metropolitan area, Germany (partial work from home is possible).

Relocation from abroad is possible.

As the Tech Leader, you'll play a key role in managing and developing a talented data analytics team of 7 individuals. Your primary focus will be on solving complex technical data challenges to drive the company toward its business objectives.

Your Responsibilities:

  • Lead the Data & Analytics team, managing them in accordance with agile values and principles, ensuring efficient project delivery and optimal performance.
  • Foster the growth and development of your team members, and closely collaborate with a Product Owner and Chapter Leads.
  • Strike a balance between people management responsibilities and hands-on technical tasks, ensuring a 50/50 split to drive both team cohesion and project success.
  • Taking over one of the squad roles: Data Scientist, Data Engineer, Product Owner, Frontend Expert, or Machine Learning Engineer.
  • Collaborate with business partners to devise innovative strategies and solutions, leveraging cutting-edge techniques and tools to meet and exceed business objectives.
  • Engage in strategic collaborations with stakeholders to identify opportunities for process optimization and technological advancement.

Job Requirements:

  • Bachelor's degree in Computer Science or a related field.
  • Minimum of 5 years of leadership experience and/or project management in data & analytics, demonstrating your ability to lead and inspire teams towards achieving the company’s goals.
  • Extensive experience in one of the following roles: Data Scientist, Data Engineer, Product Owner, Frontend Expert (Tableau), or Machine Learning Engineer.
  • Proven track record of working in large enterprises, showcasing your ability to thrive in complex organizational structures and deliver results at scale.
  • Extensive experience implementing agile values and principles, coupled with a passion for driving innovation and continuous improvement.
  • Hands-on experience working with Microsoft Azure, Databricks, and Apache Spark.
  • Fluency in English at a C1 level, enabling seamless communication and collaboration in an international setting.

Benefits:

  • Comprehensive relocation support for you and your family, ensuring a smooth transition to your new role and surroundings.
  • Relocation package to facilitate your move and ease any initial expenses.
  • Hybrid work model, offering you the flexibility to balance your professional and personal commitments.
  • Future-oriented training and development opportunities, empowering you to stay ahead in an ever-evolving industry.
  • Corporate health management program, prioritizing your well-being and ensuring you thrive both in and out of the workplace.

If you are interested and believe you fit the requirements to join the team as a Data Analytics Tech Lead (m/f/d) – apply now by sending us your CV.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Collaboration
  • Leadership
  • Team Management
  • Strategic Thinking

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