Junior Data Analyst @ LinkedIn Job Wrapping
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About the Job
Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and AI? Artefact, a global consulting firm with over 1300 employees and world-class clients, seeks a Junior Data Analyst to transform data into business impact.
Who We Are
Founded and headquartered in Paris, Artefact specializes in data, analytics & AI consulting. With 14 offices worldwide, our state-of-the-art data technologies and lean AI agile methodologies support our 300+ client engagements globally.
What You Will Be Doing
- Conduct projects to transform clients' businesses through data collection, processing, and visualization.
- Assist in designing and implementing data architectures and pipelines.
- Extract insights from clients’ marketing data sources.
- Research and develop new technical approaches to solving data problems.
- Design dashboards for informed marketing decision-making.
- Collaborate with divisions such as Media, Consulting, Data Science, and Data Engineering.
What We Are Looking For
The ideal candidate is someone who is forward-thinking, a quick study, and ready to support Artefact's U.S. office growth. We require a candidate with 2-3 years of experience (or relevant internships) in data-driven environments, familiarity with data collection, programming (SQL, Python, and/or R), data visualization tools, and at least one cloud platform or ETL tools.
Why You Should Join Us
- Join a startup team within a global consulting firm.
- Immerse yourself in digital and data industries with top partners.
- Enhance your skills with regular training and mentoring.
- Make a tangible impact assisting industry leaders through data transformation.
Key skills/competency
Data Analytics, Data Visualization, SQL, Python, Cloud, ETL, Dashboard, Consulting, Communication, Business Analysis
How to Get Hired at LinkedIn Job Wrapping
🎯 Tips for Getting Hired
- Customize your resume: Highlight data analytics and project experience.
- Research Artefact: Understand their consulting and data focus.
- Showcase technical skills: Emphasize SQL, Python, and analytics tools.
- Prepare for interviews: Practice explaining your data projects.