634 Analytics Intern jobs in Indonesia

Experience, Knowledge, Qualifications & Competencies

Essential:

1. Bachelor's degree in Marketing, Business, or related field
2. At least 2 years of experience in marketing analytics, campaign planning, or business intelligence
3. Minimum 1 year of hands-on experience with e-commerce platforms and advertising tools (Zalora experience is a plus)
4. Strong analytical mindset with experience in performance tracking (GMV, ROI, CVR, etc.)
5. Ability to build marketing plans based on trend forecasts and business goals
6. Proficient in Microsoft Excel or Google Sheets for data manipulation
7. Familiar with Google Analytics and Looker Studio
8. Strong communication, collaboration, and presentation skills.

Desirable:

1. Experience in fashion, beauty, or lifestyle e-commerce industries
2. Knowledge of customer segmentation and behavioral analysis
3. Basic knowledge of SQL or data visualization tools beyond Looker Studio
4. Understanding of funnel analysis and digital user journeys.

DIMENSIONS OF THE ROLE

• Supports campaign execution across e-commerce platforms (e.g., Shopee, Tokopedia, Zalora)
• Manages reporting on KPIs such as GMV, CVR, visitor traffic, and marketing spend
• Interfaces with internal stakeholders and external partners (e.g., brands, platforms)
• Responsible for marketing performance dashboards, reporting, and forecasting
• Works cross-functionally with Data, Sales, and Creative teams.
• Reporting to manager or senior manager.

KEY RESPONSIBILITIES

• Manage e-commerce advertising tools and optimize media placements (e.g., paid packages, ads)
• Handle communication with both internal teams and external platforms (e.g., Zalora, Shopee)
• Develop, track, and analyze weekly and monthly marketing reports (performance, insights, and recommendations)
• Collaborate with the data team to build dashboards and visualize key marketing metrics
• Forecast demand, marketing ROI, and campaign outcomes to support strategy decisions
• Propose and manage marketing calendars aligned with product launches and promotional periods
• Conduct A/B testing, funnel analysis, and other performance experiments to identify optimization opportunities
• Provide actionable insights and recommendations to support growth and improve marketing effectiveness.
• Managing a minimum of 4 projects which might include supervising team both vertically or horizontally.
• Manage advertising activities both within and outside marketplaces, including direct and indirect placements, as well as conducting analysis, planning, and reporting to the brand.
• Support website-related projects, including brand and TCCM websites, focusing on SEO, traffic generation, and content/articles.
• Actively support new or ongoing projects that contribute to the company's positive growth.

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

JOB VACANCY – PT UTAMA GLOBALINDO CARGO (UGC LOGISTICS)

With over 25 years of experience in the logistics industry, UGC Logistics is looking for two professionals to join our established Marketing team in Jakarta. We are seeking passionate, meticulous individuals who are ready to make a real impact on the company.

Position: Marketing Analytics & Customer Experience Officer

Position Goal:

As the Marketing Analytic & Customer Experience Officer, you will be responsible for transforming marketing data into a single source of truth. You will ensure data integrity, build automation, measure customer satisfaction, and provide market analysis to support accurate decision-making.

Key Responsibilities:

1. Maintain CRM data cleanliness and completeness: Conduct weekly data audits, remove duplicates, and ensure all customer data is complete and accurate.
2. Build and maintain marketing automation: Integrate web forms with the CRM, set up lead assignment flows to the sales team, and design lead nurturing funnels via email or other professional channels.
3. Execute the Customer Experience program: Design and send post-project surveys to measure Customer Satisfaction and Net Promoter Score, as well as manage a testimonial bank.
4. Compile competitor and industry trend analysis: Monitor competitors' marketing activities and summarize findings into actionable strategic recommendations on a quarterly basis.
5. Manage social media analytics: Build dashboards to monitor platform performance (LinkedIn, TikTok, Facebook, Instagram) and ensure the integrity of tracking data (pixels and events).

Qualifications:

• Minimum Bachelor's degree (S1), preferably in Information Systems, Statistics, Business Analytics, or Industrial Engineering.
• 1-2 years of work experience as a marketing intelligence specialist, data analyst, or in a similar role.
• Experience managing CRM systems (such as HubSpot, Zoho, or Salesforce), including data hygiene and segmentation.
• Able to build automation flows and create integrated dashboards using data visualization tools (like Looker Studio).
• Understand data privacy principles, campaign tagging, and are proficient in advanced spreadsheet data processing.
• Experience in designing customer satisfaction surveys.

How To Apply:

Apply on

Why Join Us?

You will be at the center of tactical decision-making, ensuring every marketing step is based on accurate data and sharp insights. This role provides an opportunity to build an analytical system that directly impacts business growth.

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

Mission:

To support the development and implementation of credit risk analytics, predictive models, dashboards, and market research by integrating credit and alternative data sources into actionable insights; while collaborating with business consulting teams to enhance credit decision-making and deliver value-added analytics solutions that align with client objectives and organizational strategy.

Role:

• Analyze credit bureau data, financial transactions, and alternative data sources to extract actionable insights for credit risk and business strategy.

• Develop statistical models, dashboards, and visualizations to support risk assessment and portfolio monitoring.

• Assist in building and deploying traditional and machine learning models for credit scoring, alternative scoring, and collections analytics.

• Collaborate with the Business Consulting team to deliver data-driven recommendations tailored to client objectives.

• Contribute to pre-sales efforts by preparing insights, data summaries, and supporting technical discussions with clients.

• Ensure data accuracy, integrity, and compliance with relevant credit bureau and regulatory standards.

• Support the continuous enhancement of analytics products in alignment with market needs and organizational goals

Position Qualifications:

• Minimum 3+ years in data analysis, financial modeling, or credit risk analytics.
• Proficiency in SQL,
  Python
  , R, Power BI, or Tableau for data analysis and visualization.
• Strong knowledge of statistical modeling, machine learning, and credit scoring.
• Experience in financial risk assessment, banking, multifinance, fintech, or credit bureau services.
• Ability to translate complex data into business insights for clients.
• Fluent English speaker.

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

• Create, build, and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources
• Deliver high-quality, production-ready data pipelines that bring and cleanse data from source systems to support AFC model build
• Implement processes/systems to monitor data quality, and drive optimization, testing and tooling to improve data quality
• Design and/or evaluates open source or vendor tools to be used for data lineage mapping
• Make sure info/data flow from system to system is correct
• Liaise closely with relevant stakeholders (e.g., Data Management Office) to identify and assess suitability of data for AFC models
• Liaise with Business Analyst and ensure assembled data sets used for model build meet business requirements
• Support Data Scientist(s) in developing model narratives by providing inputs from a data perspective (e.g., data requirements, data availability)
• Support Data Scientist(s) in ongoing testing of models/outputs during development, prior to more formal model validation by an independent team
• Create a model deployment pipeline to automate deployment of models in UOB's environments/systems, and work closely with Data Scientist(s) in the Modelling team and other stakeholders (e.g., Group Technology and Operations) to ensure models are production ready
• Ensure the seamless deployment of new AFC analytics solutions and models without breaking anything or creating unintended effects in the production pipeline
• Identify, design, and implement enhancements for internal process related to data (e.g., optimizing data delivery, redesigning infrastructure for greater scalability) to improve data reliability, efficiency, and quality
• Performs data analysis required to troubleshoot data related issues and support the resolution of raised data issues
• Support UOB in adopting and/or migrating to new production environment, if needed

Job Requirements:

• 5 – 10 years of experience working in tech industry and 3 – 5 years of experience in a data engineering and/or data operations role, ideally in the financial services industry
• Proficiency in Python/Spark to code complex data engineering use cases
• Experience in data engineering tools such as Hive/Impala, Oozie, Hadoop, etc.
• Experience with schema design and dimensional data modeling
• Experience with robotic process automation (RPA) and their use in disseminating analytics outcomes
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Experience in deploying and scaling ML/AI models
• Familiarity with Agile methods and tools like JIRA
• Ability to create and maintain production ready data pipeline and deployment pipeline
• Strong people skills and take a big picture approach to planning
• Strong communication skills to interact with data scientists, business end-users, and possibly external vendors to design and develop data solutions
• Bachelor's degree in Computer Science, Computer Engineering, IT, or equivalent

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

Job Description

• Develop strategy to preserve the quality of users and reduce fraudulent transactions
• Design anti-fraud prevention plan for new initiative (e.g. new campaign scheme, new product initiative, etc)
• Monitor and track ShopeePay fraud and scam rate
• Collaborate with Fraud Ops to develop Fraud/Scam prevention flow
• Support ad-hoc project/analysis related to fraud/scam/money laundering

Requirements

• 2-4+ years of working experience in Fraud Analytics, Strategy & Planning, Business Analyst, Marketing Analyst or similar role experience in the Payments Industry would a plus
• Develop strategy to preserve the quality of users and reduce fraudulent transactions
• Design anti-fraud prevention plan for new initiative (e.g. new campaign scheme, new product initiative, etc)
• Monitor and track ShopeePay fraud and scam rate
• Collaborate with Fraud Ops to develop Fraud/Scam prevention flow
• Support ad-hoc project/analysis related to fraud/scam/money laundering
• Must be fluent in Microsoft Excel and Structured Query Language (SQL)
• Able to work in a fast-paced and dynamic environment

Why choose iZeno?
iZeno was founded in 2003 to provide enterprises with custom-built technology solutions they need to keep their business running seamlessly. Logicalis Asia, part of the Logicalis Group, a leading international IT solutions and managed services provider, has acquired a majority stake in iZeno, a company specialising in digital transformation, application modernisation, DevOps, customer experience and hybrid cloud solutions.

With a team of 120+ in-house innovators, we have delivered over 500 Enterprise Solutions, implemented, and optimized to enable smarter insights. Our team draws on industry experiences in accomplishing a portfolio of mission-critical applications, integrating Cloud, CRM, Data Analytics, and other leading technologies with our clients' existing IT frameworks.

With leading presence in the region, headquartered in Singapore and operation in Malaysia, Indonesia, Thailand and Philippines, no project is too complex for us, and our team is always ready for a new challenge.

About The Role :

• Analyze, design and implement solutions related to Data Analytics, Data Warehouse, Data Lake, Big Data and Data Science
• Collaboratively work with customers, project team members and partners in defining business& technical requirements and specifications
• Work with the project team to translate requirements into project deliverables& prioritization
• Planning and executing both client and internal projects, following through entire software development lifecycle
• Lead functional discussions and leverage your knowledge of best practices
• Perform project implementation offsite and onsite
• Maintain and support new and/or existing customers
• Manage customers' requirements and expectations
• Participate in presales activities, propose solutions to potential customers in the form of Solution Proposal or Scope-of-Work (SOW) and deliverpresentations/demonstrations when needed
• Research& development of relevant knowledge and skillset

What we are looking for :

• Candidate must possess at least a Diploma,Advanced/Higher/Graduate Diploma, Bachelor's Degree, Post Graduate Diploma, Professional Degree, Computer Science/InformationTechnology/Information Systems or equivalent
• At least 3 years of experience in the area of Data Analytics/Data Warehouse/Data Lake/Big Data/Data Science with client-facing roles
• Candidates with more experiences will be considered for Senior position
• Hands-on and successful project delivery experience in related space is preferable
• Good logical and analytical thinking
• Adaptable, meticulous, innovative, independent and self-motivated, with excellent problem-solving skills
• Experience in operating in Linux/Unix environment will be an added advantage
• Required skills: Java, Advanced SQL; Added advantage with Python, R
• Added advantage with knowledge or hands-on experience in Talend, Confluent, MongoDB, Snowflake, Dataiku, TIBCO Jasper soft or Spotfire

What We Have To Offer

• An exciting job with latest technology
• Continuous training& development of soft and hard skills
• A competitive salary, inline with your profile
• A package of benefits including healthcare insurance
• Work from home 9 days a month
• An awesome team of colleagues& regular team building activities
• The ability to work with the world's leading companies in technology and innovation
• An environment where we embrace openness, transparency and grab every opportunity to have fun, while always doing what is right for our customers and partners.

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.