392 Data Professional jobs in Indonesia

About the Company

At Cimol Bojot Aa, we're not just about cimol, we're building a data-driven business. We believe every decision, from managing inventory to marketing strategies, should be backed by accurate, accessible data. We're looking for a Data Engineer to be a key pillar in building our data foundation from the ground up.

This is a hands-on opportunity to build a scalable data infrastructure from the ground up, with a focus on data governance, quality assurance, and reproducibility. You'll work closely with the Data Manager and collaborate across teams such as finance, marketing, production, and warehouse.

What You'll Do

● Build, test, and maintain data pipelines to extract, clean, and load data from various tools (ERP, POS, campaign platforms, spreadsheets).

● Consolidate raw data into a centralized data warehouse on a cloud platform (Google Cloud or AWS).

● Design and maintain a data warehouse using Star Schema, Medallion Architecture, or similar concepts to support analytics across finance, marketing, supply chain, and sales.

● Support data transformation using tools like dbt and manage the data flow using tools like Apache Airflow.

● Control and manage cloud pricing to ensure cost-efficient use of resources.

● Provide and manage access to Business Intelligence (BI) tools like Metabase, Looker, or Tableau to enable self-service analytics.

● Document data models, workflows, and system designs to ensure reproducibility.

What We're Looking For

● Minimum 2 years of work experience as a Data Engineer.

● Strong proficiency in SQL (especially PostgreSQL) and Python.

● Solid understanding of ETL/ELT concepts and experience with pipeline orchestration tools like Apache Airflow and data transformation tools like dbt.

● Familiar with designing and building data pipelines and managing data flow.

● Comfortable with working with APIs and various third-party data sources.

● Experience with Docker for application deployment.

● Experience in setting up and configuring BI tools.

● Strong understanding of data governance, reproducibility, and quality assurance.

● Passionate about the F&B business domain, including inventory movement, sales, and marketing.

● Experience with modern data warehouse technologies like Google BigQuery.

● Strong problem-solving and documentation skills.

● Good communication skills and ability to work cross-functionally.

Engineer - Data Science and Data Engineering

Jakarta, Indonesia
Engineering & Delivery

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Job Requirements:

• Bachelor or Diploma Degree in Computer Science/Information Technology/Data Science or related field from reputable university

• 2+ years' experience in Data Analytics/Science/Artificial Intelligence (AI) projects

• Knowledge of chatbot development best practices and design patterns

• Experience with Natural Language Processing (NLP) libraries and frameworks such as NLTK, spaCy, TextBlob, or Microsoft Bot Framework

• Experience with data analysis tools and scripting languages (e.g., Python, SQL)

• Ability to interpret and work with AI-generated insights and recommendations

• Familiarity with AI platforms and tools (e.g., Azure AI, Google Cloud AI, OpenAI, etc.)

• Basic understanding of machine learning concepts and natural language processing

• Strong analytical and problem-solving skills

• Eager to learn new technologies

THE WORK: Ignite your passion for data In this role, you will build knowledge and support the team while participating in problem-solving discussions. Your expertise in PySpark will be essential as you contribute to innovative data solutions. We are excited to welcome individuals who are eager to make a difference and grow in their careers.

Develop reusable workflows for data ingestion, quality, transformation, and optimization.

Create scalable data pipelines utilizing various tools and technologies.

Deploy data solutions into production environments effectively.

Migrate data from legacy data warehouses while adhering to cloud architecture principles.

Automate data flow processes to enhance consumption efficiency.

HERE'S WHAT YOU WILL NEED:

Intermediate proficiency in PySpark.

Advanced proficiency in Platform Engineering.

It is advantageous to have prior experience in relevant related skills.

Assoc. Degree/College Diploma in relevant field of studies.

BONUS POINTS IF YOU HAVE:

Intermediate proficiency in AWS Redshift.

Intermediate proficiency in Data Architecture Principles.

Intermediate proficiency in Database Architecture.

Associate degree or Diploma III degree holder.

We are seeking a passionate and detail-oriented
Data Analytics (AI)
professional to join our growing team. The ideal candidate will leverage data analysis techniques and AI tools to extract insights, support decision-making, and contribute to the development of intelligent solutions within our organization.

Responsibilities

• Analyze and interpret complex datasets to identify trends, patterns, and actionable insights.
• Utilize AI platforms and tools (e.g., Azure AI, Google Cloud AI, OpenAI) to enhance analytical capabilities.
• Collaborate with cross-functional teams to develop data-driven recommendations and reports.
• Apply basic machine learning and natural language processing (NLP) concepts to solve business challenges.
• Write and optimize scripts in Python and SQL for data extraction, cleaning, and analysis.
• Present findings and AI-generated insights to stakeholders in a clear and concise manner.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• Familiarity with AI platforms and tools such as Azure AI, Google Cloud AI, or OpenAI.
• Basic understanding of machine learning concepts and natural language processing.
• Experience with data analysis tools and scripting languages like Python and SQL.
• Strong analytical thinking, problem-solving skills, and attention to detail.
• Ability to interpret and work effectively with AI-generated insights and recommendations.

Job Description

• Collect, clean, and validate data from various sources for deep analysis
• Analyze transaction data, user activity, and other related data to detect fraud and anomalies/irregularities
• Coordinate with Operations, Risk, and Security teams to respond to fraud cases/incidents
• Produce regular reports on fraud trends, case resolutions, and risk mitigation efforts
• Deliver data-driven insights to proactively identify and mitigate potential business/operational risks and fraud

Requirements

• Bachelor's degree in Statistics, Computer Science, Criminology, or related field
• Minimum 2 years of working experience in data analytics and insights generation
• Proficient and experience in data query & analysis tools (e.g. Excel, SQL, Looker) and advanced analytics language (e.g. Python, R)
• Experience in fraud detection, risk analysis, compliance, or similar field
• Strong analytical skills, high attention to details, and high standard of integrity & ethics
• Ability to make quick, data-informed insights and decisions
• Prior experience in logistic industry is an advantage

Data Extraction & Transformation:

• Design, develop, and maintain SQL queries to extract data from various database sources.
• Use Python and other scripting languages to clean, transform, and prepare large, complex datasets for analysis and reporting.

Advanced Analysis & Reporting:

• Conduct in-depth statistical analysis to identify key trends, performance metrics, and opportunities for business improvement across departments (e.g., operations, sales, service).
• Develop and automate interactive dashboards and reports to communicate complex findings to non-technical stakeholders clearly and concisely.

AI Integration & Insight Generation:

• Actively research, evaluate, and utilize capabilities within modern AI platforms and tools (e.g., Azure AI, Google Cloud AI, OpenAI) to enhance analytical outputs.
• Interpret and translate AI-generated insights and recommendations (including those from basic machine learning models or NLP outputs) into practical, business-relevant actions.

AI/ML Support (Basic Level):

• Assist in the testing and evaluation of prototypes or proof-of-concept models based on a basic understanding of machine learning concepts.
• Collaborate with data scientists or engineering teams to provide data necessary for model training and validation.

Collaboration & Consultation:

• Partner with business unit leads to understand their analytic needs and define clear objectives and key results (OKRs).

• Provide expert consultation on data interpretation and the application of AI-driven insights to solve specific business challenges

• Minimum Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field

• 3 to 5 years of experience in product analytics, data analysis, data science, or a related field
• Familiarity with AI platforms and tools (e.g., Azure AI, Google Cloud AI, OpenAI, etc.)
• Basic understanding of machine learning concepts and natural language processing
• Experience with data analysis tools and scripting languages (e.g., Python, SQL)
• Ability to interpret and work with AI-generated insights and recommendations.

Since our founding in 2007 in US and VLink Consulting Indonesia (VCI) established in 2018, VLink is truly in a class of our own for our ability to deliver on all points important to our valued customers. We are an end-to-end global partner that provides consultative to coding services. Our delivery model, based on our global presence in North America and APAC regions, provides IT services and strategic workforce solutions. Our engineering mindset enables us to swiftly create affordable and tailored solutions for our customers – large and small.

About UOB
United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Job Description

• Develop machine learning models and analytics-driven methodology to generate actionable insights, especially in Anti-Financial Crime (AFC) / AML risk identification, assessment and monitoring.
• Provide data analytics including data visualization, report generation and automation to support and accelerate various AML risk initiatives.
• Periodic review on model/analytics input, output, structure and criteria.
• Enhance and build data assets for Wholesale Banking in accordance to business needs and Bank's policy.

Requirements:

• Proficient in programming language of Python/R and SQL
• Skilled in data mining, machine learning and data visualization
• Experience in AML space is an advantage
• Experience in building dashboard through Qlik Sense or similar tools
• Experience in Wholesale Banking segment is preferred

Additional Requirements
Develop, Engage, Execute, Strategise

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Apply now and make a Difference

Company Description

PT. Mitra Transformasi Digital specializes in software development utilizing .NET and PHP, along with data science services. We are proficient in Power BI development and provide comprehensive Power BI training to our clients. Our company is dedicated to delivering advanced solutions to address complex business challenges.

Role Description

This is a full-time on-site role for a Data Analytics - AI professional based in Jakarta, Indonesia. The successful candidate will be responsible for conducting detailed data analysis, creating data models, managing and interpreting large data sets, and applying analytical skills to derive actionable insights. The role involves collaborating with cross-functional teams to support data-driven decision-making processes.

Qualifications

• Proficiency in Data Analytics and Data Analysis
• Strong Analytical Skills

• Familiarity with AI platforms and tools (e.g., Azure AI, Google Cloud AI, OpenAI, etc.).

• Basic understanding of machine learning concepts and natural language processing.

• Experience with data analysis tools and scripting languages (e.g., Python, SQL).

• Ability to interpret and work with AI-generated insights and recommendations

• Bachelor's degree in Computer Science, Data Science, or a related field