Team Lead Data Analytics

at  AUTODOC

WHERE YOUR EXPERTISE IS NEEDED

AUTODOC is a technology company with a leading e-commerce platform for vehicle parts and accessories in Europe. Founded in 2008 in Berlin, we are now 5,000 people from 68 nationalities, collaborating to make mobility easy and sustainable. By placing technology at the core of everything we do, we manage to serve customers in 27 European countries in 23 languages. In 2022, AUTODOC achieved sales of over 1,1 billion euros; stocks 5.2 million products, processes around 50,000 orders per day with over 6 million active customers. Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

FOCUS AREAS:

• Catalog/Assortment quality: Customers see item listings every time they shop our site. The better the item data quality (pictures, item descriptions, etc), the better information customers have to find and buy what meets their needs best - and avoid mis-purchases and customer returns. The analytics team tackles and drives item data quality improvement opportunities (and hence conversion, revenue and profit).
• Availability/Forecasting: Customers can’t buy products that aren’t available. And even if they are available, AUTODOC may not source them from the most profitable suppliers because those might be out of stock. We need to understand availability by suppliers to improve in-stock rates as well as revenue and profit, and we likely have to share indicative forecasts to allow suppliers to manage their stock position.
• Assortment growth: AUTODOC has traditionally focused on selling items from its legacy suppliers rather than looking for geographic relevance of assortment for specific customers with specific vehicles and brand preferences. We need to identify and increase our locally relevant assortment by linking our current assortment with vehicle brands in operation in different countries and filling in assortment and brand gaps.
  Additional reporting focus areas include Customer Returns, Assortment productivity, Profitability, Supplier selection.

6 YEARS EXPERIENCE WORKING IN AN ANALYTICS FOCUSED ROLE (E-COMMERCE EXPERIENCE A PLUS) AND 3+ YEARS OF TEAM LEADERSHIP EXPERIENCE

• Strong analytical and problem-solving skills.

ADVANCED SQL CAPABILITIES, PYTHON / R OR OTHER COMPARABLE PROGRAMMING LANGUAGES

• Thorough understanding of all stages of data processing
• Power BI or other dashboard creation & management presentation tools
• Advanced Microsoft user (Power Query, Power Pivot, Power View, DAX, VBA)
• Experience using large language or machine learning models to drive team productivity is a plus
• Ability to work with large amounts of data and draw conclusions useful for business on their basis
• Ability to find points of growth / possible areas of optimization in the company’s work and formulate action plans for implementing changes
• Mindset on an independent search for facts. Ability to deal with uncertainty in data. Ability to ask questions correctly and formulate clear answers to them
• Readiness for continuous development, expansion of the range of professional skills and automation of routine operations
• Bachelor’s or Master’s degree in a relevant field (e.g., Statistics, Data Science, Business Analytics)
• Post-graduate degree in a mathematical or economics related context is a plus

RESPONSIBILITIES:

• Team Leadership: You will lead, mentor, and manage a team of analysts, fostering a high-performance culture. As such you will guide and support your team’s professional development and set high standards for work. You will also cultivate a collaborative and inclusive team environment that encourages knowledge sharing and innovation.
• Project Management: You will oversee the planning, execution, and delivery of analytics projects, ensuring they are completed on time and within scope. This includes prioritization and allocating work effectively among team members.
• Data Analysis: You will provide expertise in data analysis techniques, statistical modeling, and data visualization to support decision-making. As a leader you will also review and validate your team’s analytical methodologies to ensure accuracy and relevance.
• Collaboration and Communication: You will work cross functionally to understand their analytical needs and deliver actionable insights. You and your team will communicate complex analytical findings in a clear and understandable manner to non-technical stakeholders. Finally you will partner with stakeholders to educate them on tools you build and results.
• Technology and Tool Management: You can evaluate and recommend analytics tools and technologies to enhance team efficiency and capabilities while also ensuring that the team is proficient in using relevant analytics software and stays updated on the latest advancements in the field.