Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What will you be doing? 

Securing delivery on your projectsCommunicating your work and achievements among the teamWorking closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needsEnsuring that your solutions are bringing values to the client problematicBeing a good team player, knowing your role and responsibility in the global ambition

Key Responsibilities:

• Data Quality Analysis & Remediation: Collect, extract, and clean data from various sources to prepare comprehensive datasets for analysis This includes handling missing data, removing inconsistencies, and ensuring the data is structured correctly for further analysis.
• Analyze data using appropriate statistical techniques and tools to uncover trends, patterns, and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis
• Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations, comparing findings against external or historical data for consistency, and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis, catching any issues that might have passed initial data processing.
• Create clear, concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards, analysts will use tools like Power BI to illustrate key insights. They should present data in an understandable way for internal stakeholders, writing summaries that interpret the numbers and highlight important conclusions.
• Work closely with statisticians and other team members to interpret results and refine analysis approaches. This collaborative approach ensures that the analysis aligns with methodological standards and project goals. Analysts may adjust their methods based on feedback, contribute to discussions on what the data means, and help integrate their findings into broader census reports.

Key Qualifications:

• Bachelor’s degree in a quantitative field such as Statistics, Data Science, Economics, Mathematics, or similar. This educational background provides a solid foundation in data analysis techniques and statistical reasoning.
• Strong proficiency in data analysis tools and languages, particularly SQL for database querying, Excel for data manipulation, and programming in Python or R for more advanced analysis and automation. Experience with statistical libraries or packages (e.g., pandas, R’s tidyverse) is highly valuable.
• Demonstrated ability to perform in-depth data analysis and not just generate visuals. We need analysts who can write complex queries, perform calculations, and apply statistical tests if necessary – beyond assembling dashboard components. An analytical mindset and attention to detail are crucial for interpreting data correctly and spotting outliers or errors.
• Familiarity with business intelligence and visualization tools, especially Power BI, to aid in presenting analysis outcomes. While creating polished dashboards is not the primary focus, the analyst should be capable of using Power BI (and similar tools like Tableau if needed) to turn data into interpretable charts and graphs for reporting purposes. They should also understand data visualization best practices to communicate information effectively.
• Excellent communication skills, both written and verbal, with the ability to explain data findings in layman’s terms. A collaborative attitude is important, as Data Analysts will frequently interact with other teams (IT, field operations, subject-matter experts) to gather context and ensure that analyses meet the needs of the census project. They should be proactive in sharing insights and contributing to data-driven decisions within the organization.

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What will you be doing? 

• Manage projects as well as lead our business growth, the data consulting teams welcome all business and technical background joiners, who would thrive as an expert in a specific field, or truly versatile players.
• In this fast-paced, fast-growing industry, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism.
• You wield both “business” and “data” knowledge, with experience ideally in a digital marketing consulting firm; You already have a first understanding of digital technologies, and care to develop more in the exciting world of data and digital business

What are we looking for? 

• You must have previous Management Consultancy, ideally within Strategy Consulting or Data Consulting.
• Graduated from Business school or Engineering, in our eyes' the most important qualities are intellectual curiosity, autonomy, and dynamism.
• We are looking for profiles with the double hat “business” and “data”, with at least 1-2 years of experience, and in the use of BI tools or data analysis.
• You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service,…).

Artefact is the place to be: come and build the future of data and marketing!
Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.
Action: We make things rather than telling people how to make them.
Collaboration: We believe in bringing talented people together, winning together, and in learning from each other.

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

What you will be doing?

About Us

Artefact 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 1700+ employees across 23 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.

About the Role

As a Consulting Manager, you will play a pivotal role in leading AI-driven transformation projects for our clients, shaping their data, technology, and business strategies.

You will leverage your consulting expertise and strong interest in AI to deliver impactful solutions, bridging the gap between business needs and technological possibilities.

Working closely with cross-functional project teams, you will be at the forefront of defining client challenges, developing strategic recommendations, and delivering high-impact initiatives involving AI, data engineering, and digital innovation.

Our most successful Managers are passionate about technology, adaptable across industries, and quickly take ownership of client relationships and team development.

Key Areas of Responsibility

• Define client needs and project scopes through workshops, interviews, and diagnostics with business and technology stakeholders.
• Lead and deliver AI-related consulting projects, including AI adoption strategies, data science application roadmaps, and operational transformations.
• Perform advanced research and structured analysis to solve strategic challenges, particularly around AI deployment, data-driven innovation, and process automation.
• Formulate and present strategic recommendations backed by data insights, AI applications, and business analysis.
• Develop new business opportunities by identifying client challenges and translating them into concrete consulting proposals.
• Collaborate with AI experts, data scientists, and engineers to ensure pragmatic and scalable client solutions.
• Contribute to thought leadership on AI, data transformation, and digital innovation through articles, research papers, and client-facing publications.

Competences & Skills

• 5–10 years of full-time, client-facing consulting experience (preferably with exposure to technology, digital, or data-driven projects).
• Prior experience working at a leading consulting firm (e.g., top-tier or recognized boutique consulting firms) is highly desirable.
• Strong interest in AI applications, machine learning, automation, or data strategy — practical project experience in these areas is highly desirable.
• Bachelor's or Master’s degree in Business, Technology, Engineering, Data Science, or a related field.
• Solid knowledge of consulting methodologies and project management best practices.
• Ability to structure problems, perform advanced business analysis, and translate findings into actionable recommendations.
• Excellent intercultural communication skills and experience working with diverse teams across industries.
• Comfort with fast-paced environments and ambiguity typical of AI and emerging technology engagements.
• Proficiency with business analysis tools such as PowerPoint and Excel; familiarity with AI/ML concepts and/or data environments (SQL, Python basics) is a plus.

Our Belief

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.

Our Mission

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.

Our Values

• 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.

Our Unique Attributes

• 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.