AI Strategy Consultant: Drive Data-Driven Impact

Vivadata

Kuala Lumpur

On-site

MYR 60,000 - 90,000

Full time

14 days+

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Job summary

Artefact is a global consulting company accelerating data and AI adoption to transform businesses. As an AI Consultant, you will support national and international clients across industries in developing innovative data and AI strategies and implementing solutions that drive measurable impact.

You will collaborate with multidisciplinary teams, collect and prepare data, drive workstreams, and analyze data with Excel, SQL, Python to deliver actionable insights to clients and stakeholders worldwide.

Qualifications

Educational background: a completed Bachelor degree, ideally focusing on Technology or (Business) Economics (MSc, MBA).
Work experience: 6–12 months in internships or student roles in consulting, data/analytics, marketing, advertising, finance, or tech is a plus but not required.
Business acumen: dual profile in ‘business’ and ‘data,’ with a keen eye for identifying business opportunities.
Technical proficiency: strong Excel and PowerPoint skills; knowledge of statistical software and programming languages such as R or Python is an advantage.
Analytical mindset: strong analytical abilities with attention to detail, comfortable working with large datasets.
Language proficiency: strong verbal and written communication skills in English, with the ability to represent Artefact in a client‑facing capacity.
Personal attributes: curious and passionate about data and technological evolution; rigorous, proactive, and enjoys problem-solving.

Responsibilities

Client advisory: collaborate with clients alongside your (international) team to understand their business needs and goals, delivering data-driven recommendations that guide decision-making and strategy.
Data Collection and organization: collect, clean, and prepare data for analysis, correcting errors and formatting it for statistical software.
Ownership of project stream: drive individual workstreams, ensuring successful and timely delivery, in alignment with project goals.
Data analysis and interpretation: use tools like Excel, SQL, and Python to analyze data, apply statistical techniques to uncover trends and patterns, and present clear, actionable insights to clients, ensuring clarity for both technical and non‑technical audiences.