Junior Data Consultant Indonesia Jakarta H/F

Artefact
Paris, France
8 days ago
Apply on www.hellowork.com
Prepare application

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Starter
Working hours
Regular working hours
Languages
English

Tech stack

Microsoft Excel Data Analysis Big Data Python (Programming Language) Microsoft PowerPoint SQL Databases Programming Languages

Job description

As a Junior Data Consultant, you will support national and international clients across various industries in developing and implementing innovative data & AI strategies. Your role will encompass:

  • 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.

Requirements

Educational background: a completed Master’s degree, ideally focusing on Technology or (Business) Economics (MSc, MBA), with strong academic performance.

  • 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: you possess a dual profile in business’ and data,’ with a keen eye for identifying business opportunities.
  • Technical proficiency: you have 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: you have strong verbal and written communication skills in English, with the ability to represent Artefact in a client-facing capacity.
  • Personal attributes: you are curious and passionate about data and technological evolution. You demonstrate rigour, proactivity, and enjoy problem-solving., postgraduate degree EducationalOccupationalCredential bachelor degree EducationalOccupationalCredential associate degree

About the company

Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. We specialize in data & AI transformation and data marketing to drive tangible business results across the entire enterprise value chain for our clients.

Artefact offers the mostcomprehensive set of data-driven solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. From strategy to operations, we offer an end-to-end approach and solutions: data strategy, data quality and governance, data platforms, AI Factory, data-driven customer experience and marketing ROI. Our 1500+ employees operate in 22 countries (Europe, Asia, Americas, Middle East, Africa) and we partner with 1000+ clients, including some of the world’s top 300 brands such as Heineken, Mars, Samsung and L’Oréal.

What you will be doing:

Our Data Consulting department leads the way in effectively exploiting data & AI in all its forms. Do you want to help our clients define best-in-class data & AI strategies, drive transformations and build data & AI solutions that have impact? Join our dynamic consulting team and contribute to developing our international client portfolio!

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.hellowork.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:28 min

Building shared Java modules and analyst targeting platforms

Chris Heilmann Chris Heilmann +2 · LIVE

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

See all

Related articles

See all