10 Data Quality jobs in Indonesia

Our client is looking for enthusiastic and data-driven Graduate Trainees to join their dynamic team in Medan, North Sumatra, ID . This role operates on a hybrid work model, combining office-based learning and collaboration with the flexibility of remote work. As a Graduate Trainee, you will receive comprehensive training and mentorship to develop your skills in data analysis, interpretation, and reporting. You will work closely with senior analysts and business stakeholders to extract valuable insights from complex datasets, contributing to informed business decisions.

Key responsibilities and learning opportunities include:

• Assisting in the collection, cleaning, and processing of large datasets from various sources.
• Performing exploratory data analysis to identify trends, patterns, and anomalies.
• Developing and generating reports, dashboards, and visualizations to communicate findings effectively.
• Supporting the design and implementation of data models and analytical frameworks.
• Collaborating with cross-functional teams to understand business requirements and translate them into analytical tasks.
• Learning and applying statistical methods and data mining techniques.
• Contributing to the development of predictive models and forecasting tools.
• Participating in data quality assurance processes to ensure accuracy and reliability.
• Assisting in the documentation of data sources, methodologies, and results.
• Gaining exposure to various data analysis tools and software (e.g., SQL, Python/R, BI tools).
• Attending training sessions and workshops to enhance analytical and technical skills.
• Presenting findings and insights to team members and management.
• Contributing to a culture of data-driven decision-making within the organization.
• Learning about business operations and how data analysis impacts strategic goals.
• Undertaking assigned projects to gain practical experience in real-world scenarios.

The ideal candidate is a recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. A strong foundation in analytical thinking and problem-solving is essential. Familiarity with data analysis concepts and tools is a plus. Excellent communication skills, both written and verbal, are required. You should be eager to learn, possess a high level of attention to detail, and have a proactive attitude. This is an excellent opportunity for motivated individuals looking to kickstart their career in data analysis within a supportive and growth-oriented environment.

Our client is seeking enthusiastic and ambitious Remote Junior Graduates to join their data analytics team. This is a fantastic opportunity for recent graduates to gain practical experience in a fully remote, supportive environment. You will assist in collecting, cleaning, analyzing, and visualizing data to support business decision-making. The ideal candidate will possess a strong analytical mindset, a keen interest in data, and a foundational understanding of statistical concepts.

As a Remote Junior Graduate, your responsibilities will include supporting senior analysts in data extraction from various sources, performing data cleaning and transformation to ensure accuracy and completeness, and conducting preliminary data analysis using statistical methods. You will also assist in creating data visualizations and reports to communicate findings effectively to stakeholders. This role requires proficiency with data analysis tools such as Excel and an eagerness to learn programming languages like Python or R, as well as SQL for data querying. Excellent communication skills are essential for collaborating with team members virtually and understanding project requirements. You will work closely with a mentor who will guide you through projects and professional development. The ability to manage your time effectively and maintain productivity in a remote setting is crucial for success.

Key Responsibilities:

• Assist in data collection from various sources.
• Perform data cleaning, validation, and transformation.
• Conduct preliminary data analysis using statistical techniques.
• Create data visualizations and charts to represent findings.
• Assist in the preparation of reports and presentations.
• Support senior analysts on ongoing data projects.
• Learn and apply new data analysis tools and techniques.
• Maintain data integrity and accuracy.
• Collaborate with team members on data-related tasks.
• Document data processes and methodologies.
• Help identify trends and patterns in datasets.
• Contribute to a positive and collaborative remote team environment.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel.
• Basic understanding of statistical concepts.
• Eagerness to learn programming languages (Python, R) and SQL.
• Excellent written and verbal communication skills for remote interaction.
• Ability to work independently and manage tasks effectively in a remote setting.
• Detail-oriented and organized.
• A proactive approach to learning and development.

This internship offers valuable hands-on experience in data analytics within a fully remote framework. If you are a motivated graduate eager to launch your career in data, we encourage you to apply.

Our client is looking for bright and ambitious recent graduates to join their dynamic team as Remote Graduate Trainees in Data Analysis. This fully remote program is designed to provide hands-on experience and intensive training in data analysis, interpretation, and reporting, preparing participants for a successful career in data science and analytics.

Program Overview:

• Gain comprehensive training in data analysis techniques, statistical modeling, and visualization tools.
• Work on real-world projects, analyzing complex datasets to extract meaningful insights.
• Learn to use data analysis software such as Python (Pandas, NumPy), R, SQL, and BI tools (Tableau, Power BI).
• Develop skills in data cleaning, transformation, and preparation.
• Collaborate with experienced data scientists and analysts on data-driven solutions.
• Contribute to the development of reports and dashboards to communicate findings to stakeholders.
• Participate in regular feedback sessions and performance reviews.
• Develop problem-solving skills and a strong analytical mindset.
• Understand business objectives and how data analysis can support strategic decisions.
• Explore different areas of data analysis within the company.
• Build a professional network and gain exposure to industry best practices.
• Receive mentorship from senior team members throughout the program.
• Gain practical experience in presenting data findings.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline.
• Strong analytical and problem-solving skills.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R, SQL) is highly desirable.
• Excellent communication skills, both written and verbal.
• Ability to work independently and manage time effectively in a remote environment.
• Eagerness to learn and adapt to new technologies and methodologies.
• Proactive attitude and a keen interest in data and analytics.
• Team player with good interpersonal skills.
• Access to a reliable internet connection and a suitable remote workspace.

This internship program is a fully remote opportunity, offering excellent training and career development prospects. Join our client's innovative team and launch your career in data analysis.

Our client, a forward-thinking analytics firm, is looking for enthusiastic and driven Junior Graduate Trainees to join their data analysis team. This is an exceptional opportunity for recent graduates to gain hands-on experience in a professional setting. As a Graduate Trainee, you will work alongside experienced data scientists and analysts, contributing to real-world data projects. Your responsibilities will include assisting in data collection, cleaning, and preprocessing; performing basic statistical analysis; creating visualizations and reports; and supporting the development of data-driven insights. You will learn to use various data analysis tools and techniques, including SQL, Python/R, and data visualization software. The ideal candidate will have recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field. A strong foundation in statistical concepts and analytical thinking is essential. While prior work experience is not required, internships or academic projects involving data analysis are a plus. Excellent attention to detail, strong problem-solving skills, and a willingness to learn are crucial. You should possess good communication skills and be able to work effectively as part of a team. This internship offers a valuable pathway into a career in data analytics.

Our client is launching an exciting Graduate Trainee program focused on Data Analysis and is seeking enthusiastic and driven recent graduates for a fully remote opportunity. This program is designed to provide comprehensive training and hands-on experience in leveraging data to drive business insights and strategic decision-making. You will work closely with experienced data scientists and analysts, contributing to real-world projects from start to finish, all within a supportive remote learning environment.

Responsibilities:

• Assist in the collection, cleaning, and preparation of large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement data visualization techniques to effectively communicate findings.
• Support senior analysts in building and testing predictive models.
• Conduct market research and gather data to inform business strategies.
• Learn and apply statistical methods and data mining techniques.
• Contribute to the creation of reports and presentations summarizing data insights.
• Participate in team meetings and contribute to discussions on data-driven solutions.
• Collaborate with different departments to understand their data needs and provide analytical support.
• Develop proficiency in data analysis tools and programming languages such as Python, R, SQL, and Excel.
• Assist in maintaining data quality and integrity.
• Undertake assigned learning modules and training sessions to build analytical capabilities.
• Work on ad-hoc data analysis requests as needed.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel.
• Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R) is highly desirable.
• Basic understanding of statistical concepts and data visualization principles.
• Excellent communication and interpersonal skills, with the ability to articulate complex information clearly.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work independently and manage time effectively in a remote setting.
• Proactive attitude and a passion for data-driven insights.
• Must have a reliable internet connection and a suitable remote work setup.

This is a fantastic opportunity for ambitious graduates looking to launch their careers in data analysis with a globally recognized company, entirely remotely.

Join a leading pharmaceutical innovator as a Remote Pharmaceutical Research Associate, specializing in data analysis. This role is fully remote, allowing you to contribute to critical drug discovery and development processes from the comfort of your home. You will be responsible for analyzing complex biological and chemical data sets, identifying trends, and generating reports that support ongoing research projects. Our client is committed to advancing healthcare through rigorous scientific research, and your analytical skills will be vital to this mission. Key responsibilities include managing large datasets, performing statistical analysis using specialized software, interpreting experimental results, and collaborating with cross-functional teams of scientists and researchers via virtual platforms. The ideal candidate possesses a strong background in pharmacology, biotechnology, or a related life science field, coupled with proven experience in data analysis and statistical modeling. Proficiency in relevant software such as R, Python (with libraries like Pandas, NumPy, SciPy), SPSS, or SAS is essential. Excellent written and verbal communication skills are crucial for presenting findings and contributing to scientific discussions. You must be highly organized, detail-oriented, and capable of working independently with minimal supervision. This position offers a unique opportunity to make a significant impact on the development of new therapies. We seek individuals who are passionate about science, eager to learn, and possess a strong scientific curiosity. Your contributions will directly influence the direction of pharmaceutical research, contributing to breakthroughs that improve patient outcomes worldwide. The role demands meticulous attention to detail and the ability to adhere to strict data integrity standards, all within a remote work structure that requires proactive engagement and clear communication with team members.

Our client is seeking a highly analytical and skilled Remote Automotive Performance Engineer to join their engineering team. This fully remote position focuses on analyzing vehicle performance data and developing strategies for improvement. You will be responsible for collecting, processing, and interpreting data from various sources, including vehicle testing, simulations, and diagnostic tools. Your insights will directly contribute to enhancing vehicle efficiency, power, and overall performance characteristics. Key responsibilities include designing and executing performance tests, developing data acquisition methodologies, performing statistical analysis of test results, and identifying key performance indicators (KPIs). You will also be involved in modeling and simulation of engine and vehicle systems, troubleshooting performance-related issues, and collaborating with design and testing engineers to implement solutions. The ideal candidate will possess a Bachelor's or Master's degree in Mechanical Engineering, Automotive Engineering, or a related field, with a strong specialization in vehicle dynamics and powertrain performance. Proven experience with data analysis software (e.g., MATLAB, Python with libraries like Pandas and NumPy) and simulation tools is essential. Excellent problem-solving skills, a meticulous approach to data integrity, and strong communication abilities are required. You must be a self-starter, capable of working independently and managing complex analytical projects effectively in a remote environment. A passion for automotive technology and a commitment to delivering high-quality engineering solutions are critical. This is an exceptional opportunity to contribute to cutting-edge automotive development from your home office, impacting the performance of vehicles serving markets related to **Samarinda, East Kalimantan, ID**. Our client is looking for an engineer who can drive innovation through rigorous data-driven analysis.

Our client, a major player in the Oil & Gas industry, is seeking an experienced Senior Reservoir Engineer to join their dynamic team. This is a fully remote position focused on reservoir characterization, performance analysis, and production optimization, primarily for offshore exploration and development projects. You will leverage advanced reservoir simulation software, petrophysical data, and production logs to maximize hydrocarbon recovery and asset value. The ideal candidate will possess a deep understanding of reservoir engineering principles, fluid flow in porous media, and E&P data analysis techniques. Key responsibilities include building and calibrating geological and reservoir models, forecasting future production, conducting economic evaluations, and recommending development strategies such as enhanced oil recovery (EOR) methods. You will work collaboratively with geoscientists, production engineers, and management teams to support exploration and production decisions. This role demands strong analytical skills, proficiency in industry-standard reservoir simulation software (e.g., ECLIPSE, CMG), and excellent data management capabilities. You will be adept at interpreting complex data sets, identifying reservoir uncertainties, and communicating your findings and recommendations effectively through reports and presentations. Experience with offshore reservoirs and deepwater environments is highly preferred. If you are a results-oriented reservoir engineer seeking a challenging remote opportunity to contribute to significant oil and gas projects, this is an ideal position for you.
Responsibilities:

• Conduct reservoir characterization and build static and dynamic reservoir models.
• Perform reservoir simulation studies to forecast production and optimize recovery.
• Analyze production data and well performance to identify potential issues and opportunities.
• Develop and evaluate Enhanced Oil Recovery (EOR) strategies.
• Conduct economic evaluations and risk assessments for reservoir development projects.
• Prepare technical reports, presentations, and recommendations for management.
• Collaborate with geoscientists, production engineers, and drilling teams.
• Identify and quantify reservoir uncertainties.
• Stay abreast of new technologies and methodologies in reservoir engineering.
• Contribute to the development of field development plans.

Qualifications:

• Master's or Ph.D. in Petroleum Engineering, Reservoir Engineering, or a related field.
• Minimum of 8 years of experience in reservoir engineering, with a focus on exploration and development.
• Proficiency in reservoir simulation software (e.g., ECLIPSE, CMG Suite, Petrel RE).
• Strong understanding of petrophysics, geology, and production engineering.
• Experience with data analysis, statistical methods, and uncertainty quantification.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and manage projects effectively in a remote setting.
• Experience with offshore reservoirs and production operations is highly desirable.
• Knowledge of unconventional reservoirs is a plus.

**Make an impact with NTT DATA**
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Your day at NTT DATA**
As a Cross Technology Technical Architect at NTT DATA, you'll leverage your expertise to specify and design cutting-edge solutions across multiple technology domains. Your role centres on ensuring the successful technical design and build of custom elements that meet our clients' business needs. You'll be at the helm of selecting and applying design standards, guiding the implementation and execution of system solutions, and providing detailed advice to improve planning and operations processes.
Working closely with Solutions Architects, you'll develop technical specifications to match client requirements, ensuring that our technical solutions align with their objectives. You'll contribute significantly to the development of solution architectures in specific business, infrastructure, or functional areas and manage scoping, requirements definition, and prioritization for small-scale changes, while also assisting with more complex initiatives.
You'll also provide pre-sales technical support, analyzing client requirements in conjunction with their current infrastructure, systems, and business challenges. By leading the scope of work determination, product pricing, and RFP/RFI responses, you ensure that our proposed solutions are both innovative and feasible. Your expertise will be critical in managing client proof-of-concept (POC) initiatives, guiding the allocation of resources, and delivering POCs successfully.
**To thrive in this role, you need to have:**
+ Extensive knowledge of various vendor products and technology positioning.
+ Ability to develop and leverage seasoned knowledge of reference architectures.
+ Up-to-date knowledge of trends and developments in multiple technology domains.
+ Proficiency in core frameworks and understanding the problem domains our systems address.
+ Proven track record as a developer and architect of new systems/solutions.
+ Experience working in an agile development environment.
+ Excellent verbal and written communication skills, with the ability to build strong client relationships through technical expertise.
+ Good client engagement and consulting experience.
+ Bachelor's degree in information technology, Computer Science, Information Systems, or a related field.
**Roles and Responsibilities:**
AI Initiative Leadership:
+ Lead the development and implementation of AI strategies and solutions.
+ Drive the AI initiative from concept to execution, ensuring alignment with business goals.
+ Oversee the integration of AI technologies with existing data infrastructure.
Pre-Sales Support:
+ Collaborate with the sales team to identify client needs and propose AI solutions.
+ Develop and deliver compelling presentations and demonstrations of AI capabilities.
+ Assist in the preparation of proposals, RFPs, and other sales materials.
Project Delivery:
+ Manage the end-to-end delivery of AI projects, ensuring they meet client requirements and timelines.
+ Coordinate with cross-functional teams to ensure successful project execution.
+ Monitor project progress, manage risks, and ensure quality standards are met.
Data Management and Analytics:
+ Oversee data governance and ensure data integrity, accuracy, and security.
+ Implement data management strategies, including data quality, metadata management, and master data management.
+ Utilize advanced analytics tools to extract insights from data and support AI model development.
Collaboration and Communication:
+ Work closely with customer's to align AI initiatives with organizational goals.
+ Provide training and support to team members on AI technologies and best practices.
+ Communicate findings and recommendations to senior management and stakeholders.
Technical Expertise:
+ Stay updated with the latest trends and technologies in AI, data management, and analytics.
+ Ensure compliance with industry standards and regulations, particularly those relevant to the financial sector.
+ Troubleshoot and resolve AI-related and data-related issues promptly.
Client Engagement:
+ Build and maintain strong relationships with clients, understanding their needs and providing tailored AI solutions.
+ Act as a trusted advisor to clients, offering insights and recommendations on AI and data management.
**Qualifications:**
+ Educational Background:
Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.
+ Professional Experience:
+ Minimum of 5 years of experience in AI implementation and data management, preferably within the financial industry.
+ Proven track record of managing AI projects and delivering successful outcomes.
+ Experience in pre-sales support and client engagement.
+ Technical Skills:
+ Proficiency in AI technologies and frameworks (e.g., TensorFlow, IBM WatsonX, etc).
+ Strong knowledge of data management principles, data warehousing, and analytics.
+ Analytical Skills:
+ Ability to analyze complex data sets and derive actionable insights.
+ Experience with statistical analysis, predictive modeling, and AI algorithms.
+ Soft Skills:
+ Excellent problem-solving skills and attention to detail.
+ Strong communication and collaboration skills to work effectively with cross-functional teams.
+ Ability to present complex AI and data findings to non-technical stakeholders.
+ Certifications (Preferred):
+ Certifications in AI, data management, or related fields (e.g., CDMP, CBIP) is an additional value
+ Relevant certifications in data management or AI space.
**#LI-APAC**
**Workplace type** **:**
Hybrid Working
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
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