(Senior) Data Analyst - E-Commerce (m/w/d)
L’ORÉALDüsseldorf, north rhine-westphaliaUpdate time: April 19,2022
Job Description

Why L'Oréal?

We are driven by a passion for beauty that moves the world.

We are the market leader in Beauty and a pioneer in Beauty Tech. As a result of the constantly changing world, cosmetics and technology are inseparably linked for us. Together with our consumers and partners, we anticipate trends and shape the beauty of tomorrow.

We live sustainability and environmental protection. By 2030, our Commitments mark the beginning of a more radical transformation and embody our view of how a company's vision, purpose and responsibility should look to meet the world's challenges. Our 88,000 employees in 150 countries are transforming our business to ensure that our activities respect the boundaries of our planet.

We are looking for people who will join us in making a difference.

In our corporate Data & Analytics team in Germany/Austria, we are looking for someone to work closely with the different divisions / brand teams to drive data intelligence in the field of
e-Commerce, derive actionable insights and support the overall business development of e-Commerce.

Key responsibilities:

·       Manage and optimize the eCom analytics tools (e.g. EDGE, Ayolab)

·       Build dashboards and scorecards in PowerBI to have a holistic view of our e-Commerce performance

·       Derive analytical insights from data and support our departments in deriving best practices and developing suitable strategies with the aim of driving customer / channel growth (focus: excellence in execution in digital shelf )

·       Execute ad hoc analyses and support strategic planning for e-Commerce AT/DE, incl. retailer and category insights and recommendations

·       Co-operate with internal and external cross functional stakeholders and build engagement among business teams to define current and desired use cases to generate value

·       Upskill key stakeholders (e.g., eCom Activation Manager & eKAMs) on execution in excellence in e-Commerce, tool usage and how to drive actions to improve

·       Present and communicate sharp, clear, strong messages, directly useful for business teams & top management to make decisions

·       Support or lead of cross-functional, national and international projects in the area of e-Commerce, media, CRM

Core competencies / Skills:

·       Successfully completed studies in economics / business administration or comparable

·       3+ years of professional experience as Data Analyst or in a data-driven commercial role, preferably in the field of eCom

·       Knowledge in eCom Analytics & Insights tools to monitor and analyse, e.g., Reviews & Ratings, OOS, trends, etc.

·       Solid experience in data visualization with tools like PowerBI, Looker or comparable

·       Ideally knowledge of e-Commerce activation, perfect execution, eCom platforms and shopper insights

·       Excellent English communication skills (main team language is English, however German skills are a plus)

·       High degree of (internal) customer focus, independence, motivation and hands-on mentality

·       Strong stakeholder management skills and enjoying driving forward own ideas

·       Passion for data and learning continuously (particularly in regards to Python, SQL, Google Cloud, etc.)

Our offer

·       Permanent employment in a crisis-resistant, growing market with a comprehensive range of social benefits.

·       A competitive and attractive salary and benefits package

·       Individual personal and professional development, a steep learning curve, strong team spirit and an open, cooperative culture

·       Diverse, national and international perspectives

Diversity & Inclusion

L'Oréal is committed to providing equal opportunities to its applicants.

We value diversity, inclusion and individual self-expression in the workplace as diversity strengthens our teams and we want to reflect the image of society and therefore our consumers in our company. Any form of discrimination is therefore not tolerated.



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