Auf einen Blick
- Aufgaben: Lead analytics strategy and oversee advanced data solutions for AUTODOC's Private Brands.
- Arbeitgeber: AUTODOC is Europe's largest auto parts ecommerce platform, thriving in 27 countries.
- Mitarbeitervorteile: Enjoy competitive salaries, 30 vacation days, mental wellbeing support, and retail discounts.
- Warum dieser Job: Join a fast-growing team, drive impactful insights, and foster innovation in a dynamic environment.
- Gewünschte Qualifikationen: 8+ years in Data Engineering or Analytics, strong leadership, and expert in SQL and Python required.
- Andere Informationen: Flexible hours, hybrid work, and opportunities for professional growth await you!
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
Join to apply for the Senior Manager Data Analytics role at AUTODOC
Company Description
AUTODOC is the largest and fastest growing auto parts ecommerce platform in Europe. Present across 27 countries with around 5,000 employees, AUTODOC generated revenue of over €1.3 billion in 2023, supplying more than 7.4 million active customers with its 5.8 million vehicle parts and accessories for car, truck, and motorcycle brands. Curious minds, adventurous experts and tech-savvy professionals – one team, one billion euros revenue. Catch the ride!
Job Description
Responsibilities
- Shape and implement the analytics strategy for Autodoc’s Private Brands, aligning with business strategy and goals, and driving measurable outcomes such as revenue growth and operational efficiency.
- Oversee the design, development, and lifecycle management of Advanced Analytics & AI solutions and data governance frameworks, ensuring the integrity and relevance of business metrics.
- Deliver strategic and operational insights, providing focused advisory for key projects and business leaders.
- Lead and mentor a diverse team of data professionals, fostering a culture of innovation, data-driven decision-making, and continuous improvement.
- Define, develop, and govern Autodoc’s Private Brands KPI framework, ensuring the consistency and reliability of key business metrics.
- Champion the adoption of self-service analytics capabilities across Autodoc, ensuring effective identification of power users, training, governance, and lifecycle management.
- Partner cross-functionally with senior leadership and key stakeholders to influence business strategy, promote analytics adoption, and lead change management initiatives.
Requirements
- 8+ years of experience in Data Engineering, BI, Analytics, or Data Science, with a strong focus on driving business strategy and delivering impactful insights.
- Proven leadership in managing teams, mentoring high-performing analysts and engineers, and fostering talent development.
- Exceptional analytical and delivery skills, with a track record of translating complex data into strategic decisions and driving measurable business outcomes.
- Strong collaboration and communication abilities, with experience in leading cross-functional teams and managing change initiatives across the organization.
- Expert proficiency in SQL and Python; experience with advanced data modeling, machine learning, or AI techniques.
- Experience with Data Mesh principles and Data as a Product frameworks.
- Proficiency with BI tools (Metabase, Power BI, Tableau) and a deep understanding of how to leverage them for business impact.
- Fluent in English (C1 level or equivalent).
- STEM background or equivalent practical experience, with a demonstrated record of thought leadership and contributing to the broader data community.
What do we offer?
- Competitive salaries based on your professional experience
- Fast growing international company with stable employment
- Annual vacation of 30 days and 1 additional day off on your birthday
- Mental Wellbeing Program – providing you and your immediate family members with free and confidential mental and physical health support services for a wide range of personal and work-related issues.
- AUTODOC Corporate Discount (1,080 Euros per annum) to order parts for their own use at special discounted rates
- Retail discounts of up to 75% on travel, technology, fashion and much more
- Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching
- Free English and German language classes
- Flexible working hours and hybrid work
- Referral Program with attractive incentives
- Company pension scheme (Betriebliche Altersvorsorge mit Allianz)
Join us today and let’s create a success story together!
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Technology, Information and Internet
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Senior Manager Data Analytics Arbeitgeber: Autodoclogistics
Kontaktperson:
Autodoclogistics HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Manager Data Analytics
✨Tip Number 1
Make sure to showcase your leadership experience in managing teams and mentoring analysts. Highlight specific examples where you've driven business strategy through data analytics, as this role emphasizes the importance of leading a diverse team.
✨Tip Number 2
Familiarize yourself with AUTODOC's business model and their Private Brands. Understanding their market position and how analytics can drive revenue growth will help you align your insights with their strategic goals during discussions.
✨Tip Number 3
Prepare to discuss your experience with SQL, Python, and BI tools like Power BI or Tableau. Be ready to explain how you've used these tools to deliver impactful insights and drive measurable business outcomes in previous roles.
✨Tip Number 4
Demonstrate your understanding of Data Mesh principles and how they can be applied to enhance data governance frameworks. This knowledge will show that you are not only technically proficient but also forward-thinking in your approach to data management.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Manager Data Analytics
Tipps für deine Bewerbung 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Manager Data Analytics position at AUTODOC. Understand the key responsibilities and requirements, especially focusing on the analytics strategy and team leadership aspects.
Tailor Your CV: Customize your CV to highlight relevant experience in Data Engineering, BI, Analytics, or Data Science. Emphasize your leadership skills and any specific projects where you drove business strategy and delivered impactful insights.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and your understanding of AUTODOC's business model. Mention how your background aligns with their needs, particularly in shaping analytics strategies and mentoring teams.
Highlight Technical Skills: Make sure to clearly list your technical proficiencies, especially in SQL, Python, and BI tools like Metabase or Power BI. Provide examples of how you've used these skills to achieve measurable business outcomes.
Wie du dich auf ein Vorstellungsgespräch bei Autodoclogistics vorbereitest
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analytics to drive business strategy and deliver impactful insights. Highlight your experience with SQL and Python, and be ready to explain complex data concepts in a simple way.
✨Demonstrate Leadership Experience
Since this role involves leading and mentoring a diverse team, share your past experiences in managing teams and fostering talent development. Discuss how you’ve created a culture of innovation and data-driven decision-making.
✨Understand AUTODOC's Business Model
Familiarize yourself with AUTODOC’s operations and the auto parts ecommerce market. Be prepared to discuss how your analytics strategy can align with their business goals and drive measurable outcomes like revenue growth.
✨Prepare for Cross-Functional Collaboration
This position requires partnering with senior leadership and key stakeholders. Think of examples where you've successfully influenced business strategy or led change management initiatives across different teams.