394 Data Analytics jobs in Indonesia

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

Job Title

Data Analytics & Informatics Engineer – Marketing Technology & Automation

Location

Ubud, Bali — Full-time, in-studio

About Us

We are a fast-growing fine jewelry brand based in Bali, selling jewelry worldwide. Our studio is located in Ubud, where we design and produce sculptural, collectible jewelry rooted in craftsmanship, beauty, and storytelling. Each piece is made by hand, and our business operates with the same intentionality — high quality, high standards, and deep care for the work and having fun while doing the deep work.

Compensation

• Monthly salary based on experience
• Opportunity for performance-based incentives and internal growth
• You'll be part of a growing company where your work will matter from day one

About the Role

This is not a traditional marketing role. We are looking for someone with an
engineering, data, or informatics background
who has applied those skills in marketing contexts. You'll need to think in systems, move quickly, and build processes that are clean, scalable, and high-impact.

NOTE: This role is
data and systems first, with marketing as the application layer.
If you are motivated by precision, structure, and problem-solving—and want to see your work directly fuel creative growth—you'll thrive here.

Key Responsibilities:

Paid Acquisition Systems

• Architect and optimize Meta and Google Ads campaigns across prospecting and retargeting
• Design and test acquisition flows, A/B frameworks, and structured audience models
• Monitor CAC, ROAS, MER, and maintain decision-ready performance data

Data & Reporting Infrastructure

• Build and maintain dashboards (Looker Studio, Sheets, or similar)
• Engineer clean attribution pipelines and structured reporting layers
• Automate reporting to deliver actionable insights weekly/monthly

Automation and Integrations

• Build workflows with Zapier/Make to connect Shopify, Klaviyo, CRM, WhatsApp, Sheets
• Debug and maintain API connections and live automations
• Identify manual bottlenecks and replace them with scalable systems

Tracking and Attribution (Core Focus)

• Own GA4, GTM, Meta Pixel, Conversions API, and related setups
• Implement and enforce UTM frameworks, server-side tracking, and first-party attribution
• Debug and ensure end-to-end data accuracy across platforms

Lifecycle & Retention

• Engineer Klaviyo flows (cart abandonment, win-back, post-purchase, lifecycle)
• Segment and analyze customer data for targeted retention strategies
• Improve LTV through automated retention mechanics

SEO & Site Performance

• Conduct keyword analysis and light content optimizations
• QA landing page tracking and conversion flows
• Implement incremental technical optimizations for organic visibility

Cross-Functional Growth Ops

• Collaborate with creatives to design performance-driven ad briefs
• Partner with founders to test and validate growth hypotheses with clean data
• Research, propose, and pilot new tools, growth models, and frameworks

You might be a fit if you:

• Have 3+ years of experience managing paid ads, automations, and analytics
• Come from a background in
  engineering, computer science, informatics, or mathematics
• Think in systems, with strong attention to structured workflows and documentation
• Have built dashboards, automations, or attribution models from scratch
• Are comfortable with HTML, JavaScript, Liquid, or Python for light debugging
• Use AI tools to improve speed, iteration, and decision-making
• Communicate clearly and make complex data accessible to others

Bonus points for:

• Building internal tools or working with APIs and webhooks
• Familiarity with server-side tracking (e.g. Stape, CAPI Gateway)
• Strong understanding of attribution challenges post-iOS14
• Experience in fast-moving D2C environments or creative studios
• Interest in emerging media channels, automation tools, or growth models
• Engagement in technical or growth-oriented communities

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

• Build predictive models for credit risk, collections, fraud, and other business needs in Financial Industry
• Manage and own the entire end-to-end lifecycle of building and validating predictive models along with their deployment and maintenance
• Engineer predictive features from existing data to build refined customer profiles. Identify external data assets to bring into the model mix
• Work backwards to conceptualize and design analytic model frameworks to solve business problems
• Strong communication skills to share your learnings, lead with the given strategy, get multiple stakeholders to buy into the vision and execution of the analytics roadmap

Qualifications

• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 4 years of hands-on experience in building, evaluating, and monitoring ML collection risk or consumer credit scoring models for financial products
• At least 2 years of leadership experience
• Solid understanding of mathematics and statistics
• Sound knowledge of machine learning concepts such as Bagging, Boosting, Recommendation Engines, etc
• Expert in feature creation on a variety of data types
• Professional experience in building machine learning analytics model development
• Understanding of trade-offs between model performance and business needs
• Proven experience to formulate data science solutions to business problems
• Proven ability to communicate with business and know business needs
• Work experience and knowledge of more than one domain is a plus - Risk Analytics, Marketing Analytics, Fraud analytics etc.

About The Team
The Data Analyst in the Workforce Management (WFM) team plays a key role in turning operational data into actionable insights that improve workforce efficiency and service delivery. This role supports business functions such as Collections, KYC, and Customer Service, ensuring that data-driven decisions lead to better forecasting, resource planning, and overall performance. In addition to reporting and dashboarding, the analyst is expected to identify trends, propose operational improvements, and contribute to data projects that solve real-world business challenges. This position offers the opportunity to deepen analytical capabilities and gradually expand into Python and RStudio-based analysis.

Job Description

• Analyze historical and live operational data to support workforce planning, staffing, and efficiency monitoring.
• Build, maintain, and improve dashboards and reports that track KPIs for Collections, KYC, and CS operations.
• Work closely with WFM and RTFM to support scheduling, forecast validation, and performance monitoring.
• Perform deep-dive analyses to uncover root causes, surface insights, and recommend improvements to workforce or operational processes.
• Collaborate with stakeholders in business teams to translate operational questions into structured data analysis.
• Contribute to continuous improvement projects by turning data insights into proposals and pilots.
• Ensure data accuracy, consistency, and integrity in all reporting and analytics outputs.
• Begin expanding analysis using Python and RStudio, supported by the WFM team's upskilling roadmap.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Business Analytics, or related fields.
• Proficient in SQL, with hands-on experience in Presto and/or Spark.
• Strong analytical skills with the ability to interpret and visualize data clearly.
• Familiarity with spreadsheet tools (Google Sheets, Excel) and at least one BI tool (e.g., Tableau, Looker, Power BI).
• Strong sense of curiosity, initiative, and willingness to explore improvement ideas using data.
• Comfortable working cross-functionally and communicating findings with non-technical stakeholders.
• Organized and detail-oriented, especially in managing datasets, logic documentation, and repeatable workflows
• Excellent communication and interpersonal skills.
• Ability to work collaboratively in a fast-paced environment.
• Proficient in database management tools (SFTP, HUDI, Spark, etc), Python, R Studio is a big plus

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

Job Description

• Develop and implement a comprehensive data analytics strategy aligned with business objectives.
• Lead and manage a team of data analysts, fostering a collaborative and high-performing work environment.
• Define data collection methods and ensure data quality and integrity.
• Translate complex data sets into clear, actionable insights.
• Develop and maintain data pipelines and infrastructure.
• Communicate data insights effectively to stakeholders across all levels of the organization.
• Identify and implement new data analytics tools and technologies.

Requirements:

• Bachelor's degree in Computer Science or related field.
• 5 years of proven experience in Data Analytics.
• 2 years of Proven experience in managing a team of Data Analyst.
• (Mandatory) Excellent Google sheet/Ms. Excel skill for modeling, forecasting, and data visualization;
• (Mandatory) Excellent SQL understanding (MySQL / PostgreSQL / Google BigQuery etc.);
• (Mandatory) Experience in using Google Cloud Platform services for deploying and managing cloud-based applications;
• Excellent data visualization skills using Apache Superset or other data visualization tools;
• Experience in data wrangling with Python/R;
• Experience in data modeling project;
• Experience in integrating and implementing data warehouse management best practices;