Mahasiswa tingkat akhir (sudah tidak ada jadwal perkuliahan) atau Lulusan Baru dari semua jurusan. Diutamakan dari Teknik, Manajemen, atau Logistik & Supply Chain.
Memiliki orientasi pada detail dan kemampuan analisis yang kuat.
Mahir menggunakan Google Spreadsheet untuk entri dan pengolahan data.
Memahami konsep dan prinsip dasar logistik.
Kemampuan komunikasi yang jelas dan efektif.
Berpikir kritis, teliti dalam bekerja, dan mampu memecahkan masalah.
Memiliki motivasi tinggi, proaktif, dan keinginan belajar yang kuat.
Bersedia bekerja dengan sistem shifting.
Bersedia bekerja secara penuh dari kantor (WFO) di Harapan Indah, Bekasi, Jawa Barat.
Final year student or recent graduate in Informatics, Computer Science, Engineering, Statistics, Applied Mathematics, or other related quantitative fields.
Familiar with SQL and basic concepts of relational databases.
Interest in big data and data architecture; exposure to tools like Hadoop, Spark, or Kafka is a plus.
Exposure to Google Analytics, Adobe Analytics, or GCP (e.g. BigQuery, Cloud Storage) is an advantage.
Basic understanding of data privacy and PII handling is a plus.
Enthusiastic about exploring and working with unstructured and disconnected datasets.
Willingness to learn data pipeline and workflow tools like Airflow, Luigi, or Composer.
Strong analytical thinking and eagerness to solve real business problems with data.
Comfortable collaborating with cross-functional teams in a dynamic environment.
Design and implement effective analytics studies to review the successful achievement of a company's business objectives.
Review marketing analytics data and cross reference with additional data sets to assess performance of customer, product or marketing performance
Perform independent advanced analysis such as attribution modeling on various digital platforms such as Google Ads, Facebook Ads, LinkedIn Ads, and others.
Compile regular reports on business performance such as top performing products, margin optimization, CLV and CAC and deliver results and recommendations to management and client stakeholders.
Collaborate with data scientists and data engineers to ensure data pipelines are updated, data sets are accurate and valuable insights can be generated and shared to clients
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Final year student or recent graduate in Marketing, Business, Communications, or related field.
Previous internship or project experience in digital marketing is a plus.
Strong verbal and written communication skills in both Bahasa Indonesia and English.
Familiar with tools like Google Analytics, Google Tag Manager, or similar analytics platforms.
Basic understanding of digital advertising platforms such as Google Ads, Facebook Ads, LinkedIn Ads, etc.
Able to work collaboratively with different teams and support campaign execution.
Interest in the latest trends in digital marketing and technology.
Problem-solving mindset and eagerness to learn in a fast-paced environment.
We are seeking a highly motivated and skilled Data Science Intern to join our innovative product development team. This internship offers a unique opportunity to gain hands-on experience in the full lifecycle of data science product creation, from research and custom model development to deployment and documentation, with a specific focus on emerging AI and Large Language Model (LLM) technologies.
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Fresh Graduate or Final year student in a Bachelor's program in Computer Science, Data Science, Statistics, Engineering, or a closely related quantitative field.
Solid foundational understanding of core statistical concepts and machine learning algorithms (e.g., regression, classification, clustering, time-series analysis).
Proficiency in Python and its core data science libraries.
Experience with SQL and working with relational databases.
