Data Consultant

Artefact US•New York, NY

8d•Hybrid

About The Position

Join Artefact, a global consulting firm helping leading brands turn data into real business impact. With 2,000+ employees across 34 offices worldwide, we partner with world-class clients such as Samsung, L'Oréal, and LVMH to accelerate digital transformation through data and AI. Founded in Paris, Artefact combines strategy, data, and technology to deliver measurable results. Our teams of consultants, data scientists, engineers, and digital experts work side by side to design business-centric, AI-powered solutions that create lasting value across the entire value chain.

Requirements

Undergraduate degree with strong academic performance
1-2 years of full-time work experience, ideally in one or more of the following areas: consulting, data/analytics, marketing, advertising, finance, or tech.
Strong verbal and written communication skills; ability to represent Artefact in a client-facing capacity
Demonstrated ability to engage with diverse team members; strong intercultural communication skills are a must
Advanced familiarity with Excel and PowerPoint
Interest in digital, data and the tech economy as a whole
Strong teaching orientation; demonstrated ability to mentor more junior members of the team
Strong analytical skills, attention to detail, and the ability to work with large datasets.
Excellent communication and interpersonal skills, as they will be interacting with clients and presenting data insights to both technical and non-technical audiences.
Familiarity with statistical software and programming languages, such as R or Python, is also helpful for this role.

Nice To Haves

Knowledge of strategy consulting and/or digital marketing (within a start-up, agency, etc.) is highly desirable, but not required

Responsibilities

Help make data-driven decisions by collecting, analyzing, and interpreting data.
Work with clients to understand their business needs and goals, and use data analysis techniques to identify trends and patterns that can inform decision-making and strategy.
Collecting and organizing data from various sources, including databases, spreadsheets, and web-based tools.
Cleaning and preparing data for analysis, including correcting errors and formatting data for use in statistical software.
Analyzing data using statistical techniques and tools, such as Excel, SQL, and R or Python.
Interpreting and presenting data insights to clients in clear, easy-to-understand language.
Collaborating with clients to understand their business needs and goals, and developing data-driven recommendations to meet those needs.
Participating in ongoing professional development to stay up-to-date on the latest data analysis techniques and tools.