Senior Data Consultant (m/f/d)

 is the next generation end-to-end data service company, with a focus on consulting and marketing, that helps organisations transform data into value and business impact.
Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results.
We have 1300+ employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

You will be able to carry out various projects independently and in collaboration with Artefact’s teams of experts: Strategy, Activation, Analytics, Data, Creation.
At the agency or at the client’s premises, the senior consultant is a true project manager. The diversity of your missions will allow you to be as close as possible to client issues, to acquire real knowledge of data and to quickly develop your skills.

• Define the needs of its customers by conducting interviews with customer teams and multiple technology partners,
• To help build, formulate and present strategic data recommendations for the client,
• To organize and conduct workshops and training to ensure the success of its projects,
• To develop and present data recommendations to clients,
• To imagine and present new support proposals to convince our future customers,
• To participate in training courses to acquire the technical knowledge necessary for its mission as an advisor and to keep abreast of the latest technological innovations on the market,
• And finally to participate in the writing of content on transversal subjects (e.g. publication of research works, writing articles or business cases).

• Graduated from a business school (desired), the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism.
• 3+ years of full-time work experience, ideally in one or more of the following areas: consulting, data/analytics, marketing, advertising, digital media, or agency
• You are curious, insightful and enjoy solving problems
• Familiar with data marketing
• Fluency in English and Korean required
• Has a profound understanding of analytics tools(Google Analytics, Adobe Analytics etc.) and/or ad platforms (Google Marketing Platform, Meta, Twitter, Kakao, Naver, Tiktok etc.)
• Has a profound understanding of Korean business culture by working with or working for Korean enterprises
• Strong teaching orientation; demonstrated ability to mentor more junior members of the team

We believe data is changing the world, and it’s just the beginning. We want this to be done in the right way, with transparency and ethics. This is the only way to create sustainable impact for business and society.

We are on a mission to build the next generation of data leaders who:

• Fully capture the power of data & digital to deliver business value ;
• Bring understanding, trust & transparency of data into our society.

• Collaboration : People of different background and expertise working closely together;
• Trust & Transparency: Dealing with data topics with integrity and ethics; Realistic and honest with our capabilities and limitations;
• Innovation: Always working on the most trendy and new topics on data and digital; Always on top of the new ways of using data;
• Action: We would rather do than to tell what to do; Has a “building the plane while flying” agile mentality.

• We bring great value to business and create a better society with the understanding, transparency and ethical use of data ;
• We build the next generation of data leaders ;
• We disrupt the market :
• Data Native - Born with data and defining data ;
• ART + SCIENCE - Mixture of talents in ART (Creative, Planning, Media, Consumer Engagement) and SCIENCE (Data Consulting, Data Science, Data Engineer) ;
• One P&L - Integrated & collaborative, with all chapters working toward the same goal ;
• End to End - Capabilities from Strategize to Build to Run.