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Job type:

Full-time

• Develop product strategy and product development in the analyticX group, Open API, and related platforms such as MarTech and EdTech to meet market demands and align with the company s business plan.
• Manage product revenue, profit, and cost to ensure alignment with business goals and financial targets.
• Possess strong technical knowledge and understanding across key domains, including Software Development, Data Analytics, AI and ML, API and Interface Design, as well as ...
• Deliver impactful product presentations, consultative selling, and design effective solutions for clients, with the ability to successfully close deals. Represent the company as a speaker at relevant events and engagements when required.
• Define product and pricing positioning, plan Go-to-Market (GTM) strategy and Sales & Partner strategies, and work closely with marketing and sales teams on communication and account planning to drive sales performance in line with company objectives..
• A Master s degree in Engineering, Science, Computer Science, Data Science, or another STEM-related field.
• (For candidates holding a Master s degree in Marketing or Business Administration, a Bachelor s degree in a STEM field is required.).
• More than 10 years of work experience, including at least 5 years in Software Product Development in roles such as Product Owner, Business Analyst, System Analyst, or equivalent; and at least 3 years of experience specifically related to Data Analytics.
• Strong understanding of core concepts in Software Development, Data Analytics, AI and Machine Learning, API and Interface Design, and UX/UI Development, with the ability to communicate effectively with domain experts.
• Solid understanding of the mobile operator business or at least one type of B2B business. Experience working with or utilizing Telco Data is a strong advantage.
• Excellent communication and presentation skills, both internally and externally.
• Proven ability in consultative selling, including influencing and closing deals with clients.
• Possesses a growth mindset, is eager to learn, and demonstrates strong self-learning capabilities.
• Strong in strategic thinking, logical thinking, analytical skills, and critical thinking.
• Able to solve complex problems and effectively manage multiple stakeholders.
• Thrives in an outcome-driven environment, demonstrates high self-motivation and autonomy, is highly adaptable, and committed to performing well in a dynamic and fast-paced setting.

Skills:

Power BI, Statistics, Data Analysis

Job type:

Full-time

• Apply best practices in data visualization to create clear, concise, and impactful visuals. Optimize dashboard performance for speed and efficiency.
• Identifies and utilizes the customer data as an insight to provide executive summary report, including provide the analysis with the recommendation.
• Collaborate with commercial team to ensure that Power BI solutions meet their needs.
• Provide training and support to end-users on how to effectively utilize Power BI dashboards and reports.
• Manage and prepare ad hoc reports and analysis as required..
• Bachelor s / Master degree in Data Science, Mathematics, Statistics, Computer Science, Business Administration, Engineering, or other quantitative field.
• 6-7 years of relevant experience in a data analytics or power bi developer will be considered.
• Strong proficiency in Microsoft Power BI. Experience with data modeling, DAX (Data Analysis Expressions), and Power Query (M language).
• Solid understanding of data visualization principles and best practices.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Hands-on experience with databases such as SAP, SQL, and statistical tools such as R, Python.
• Self-driven individual with strong will to learn, tackle the unknowns and contribute to the team and organization.

Job type:

Full-time

• ปฎิบัติงานยัง บริษัท Infinitas by Krungthai.
• We are seeking a highly skilled Data Management Specialist to join our team. The ideal candidate will be responsible for managing and analyzing large data, ensuring data integrity, and developing data management solutions to optimize our operations.
• Design, develop, and maintain data mart and pipeline to ensure accessibility and reliability of data.
• Utilize SQL to perform complex queries, data extraction, and manipulation.
• Analyze and interpret large datasets to identify trends and insights that drive business decisions.
• Ensure data quality, integrity, and security across all managed databases.
• Collaborate with cross-functional teams to understand data needs and deliver effective data management
• solutions.
• Implement and monitor data management policies and procedures.
• Optimize database performance and troubleshoot issues as they arise.
• Leverage big data technologies such as Spark to process and analyze large datasets.
• Develop and maintain ETL processes to ensure seamless data flow between systems.
• Work with cloud platforms such as Google Cloud and AWS to manage and store data securely.
• Required Skills and Qualifications
• Proficiency in SQL: Expertise in writing and optimizing complex SQL queries.
• Problem-solving and analytical skills: Strong ability to analyze data and derive actionable insights.
• Familiarity with cloud platforms: Experience with platforms such as Google Cloud and AWS.
• Database management systems: Hands-on experience with systems like MySQL.
• Big data technologies: Experience with technologies such as Spark.
• Python programming: Proficiency in Python for data manipulation and analysis.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Attention to detail and commitment to maintaining high data quality standards.
• Ability to manage multiple projects and prioritize tasks in a fast-paced environment.
• Education & Experience
• Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field
• Minimum 3 years experience in retail lending or similar role
• Additional Requirements
• Experience with data visualization tools (Tableau, Power BI)
• Ability to work collaboratively with cross-functional teams.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with. ".

Skills:

Compliance, Risk Management, SAP

Job type:

Full-time

• Develop Data Governance Framework and data management strategy & roadmap.
• Develop data policy, rules and regulations to control data management standard control ensure compliance with data management, data privacy and global regulations.
• Take the lead in managing data governance framework, data policy and standards with a focus on establishing and ensuring organization adherence to an enterprise data governance framework.
• Partner with Risk Management, Security and Compliance teams to identify related regulatory requirements and implications such as PDPA/GDPR and drive gap assessment and improvement to data policy, standards and governance processes.
• Develop and own the data sharing principles, operational model and process to govern data exchanges with external data ecosystem.
• Review and advise on data sharing to 3rd parties to approval protocol, data usage conditions, as well as data minimization practice.
• Communicate and engage various projects to ensure activities of data management in assigned projects to comply with data management standard and controls.
• Provide stakeholders a thorough advice on data accessibility, and/or data management based on deep understanding of data use cases, data Lake and its ecosystem architecture.
• Drive Data Stewardship and Data Governance program and enterprise-wide data governance awareness throughout the organization including identifying a phased approach to progress and mature the program.
• EDUCATION.
• Bachelor s degree in Computer Science, Computer Engineering, Information Technology, or related discipline.
• EXPERIENCE.
• Experience in writing or working with various documents such as policy, standard, procedure, and guideline.
• Knowledge of data platform concept, data lake.
• Advanced knowledge of data management life cycle.
• Good communication, strong analytical and problem-solving skills.
• Experience in data governance or data management.
• Experience in design of data platform, data engineer.
• Experience business-driven data governance practices implementation.
• Experience with on premised and cloud service eg AWS, Azure, SAP.
• Experience with data pipeline and data management tools.
• Experience in writing or working with various documents such as policy, standard, procedure, and guideline.
• OTHER REQUIREMENTS.

Skills:

Cloud Computing, SAP, Linux

Job type:

Full-time

• Acting as the key of Cloud technical aspect for the consulting team to provide the technical consulting to both internal and external customers.
• Design Cloud solution architecture in response to the client s requirement.
• Provide advisory consulting service to the client regarding the True IDC Consulting practices.
• Create Cloud technical requirements to the client s migration plan.
• Experience of designing and implementing comprehensive Cloud computing solutions on various Cloud technologies e.g. AWS, GCP.
• Experience in building multi-tier Service Oriented Architecture (SOA) applications.
• Experience in SAP Cloud Infrastructure in term of architecture & design in AWS, GCP public cloud.
• Knowledge of Linux, Windows, Apache, IIS, NoSQL operations as its architecture toth e Cloud.
• Knowledge of Containerization administrative for both Windows and Linux technologies.
• Knowledge of key concerns and how they are addressed in Cloud Computing such as security, performance and scalability.
• Good in customer objective handling & Good in customer presentation skill.
• Nice to have.
• UNIX shell scripting.
• AWS Certified Solution Architect - Associate.
• GCP Certified Solution Architect - Associate.

Experience:

5 years required

Skills:

Data Analysis, Automation, Python

Job type:

Full-time

• Work with stakeholders throughout the organization to understand data needs, identify issues or opportunities for leveraging company data to propose solutions for support decision making to drive business solutions.
• Adopting new technology, techniques, and methods such as machine learning or statistical techniques to produce new solutions to problems.
• Conducts advanced data analysis and create the appropriate algorithm to solve analytics problems.
• Improve scalability, stability, accuracy, speed, and efficiency of existing data model.
• Collaborate with internal team and partner to scale up development to production.
• Maintain and fine tune existing analytic model in order to ensure model accuracy.
• Support the enhancement and accuracy of predictive automation capabilities based on valuable internal and external data and on established objectives for Machine Learning competencies.
• Apply algorithms to generate accurate predictions and resolve dataset issues as they arise.
• Be Project manager for Data project and manager project scope, timeline, and budget.
• Manage relationships with stakeholders and coordinate work between different parties as well as providing regular update.
• Control / manage / govern Level 2 support, identify, fix and configuration related problems.
• Keep maintaining/up to date of data modelling and training model etc.
• Run through Data flow diagram for model development.
• EDUCATION.
• Bachelor's degree or higher in computer science, statistics, or operations research or related technical discipline.
• EXPERIENCE.
• At least 5 years experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Experience using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Qlikview, Rapid Miner, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages.
• Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
• Experience developing and deploying machine learning model in production environment.
• Knowledge in oil and gas business processes is preferrable.
• OTHER REQUIREMENTS.

Experience:

3 years required

Skills:

Compliance, Legal, Risk Management

Job type:

Full-time

• Develop data security policy review, data security policy exceptions, and control risk mitigation processes.
• Define the security controls for access management lifecycle (i.e., requirement for creation, deletion, transfer and review).
• Operate:Advice on technology relating to Data Privacy and Protection (i.e., PDPA) related security controls implementation.
• Drive and support data security controls such as Data Loss Prevention (DLP), Data Masking, Data Encryption capabilities to protect sensitive data.
• Drive compliance (or collaborate with compliance team) to organization security policies, standards, metrics, and legal requirements.
• Communicate and enforce security policies, rules, and standards.
• Conduct impact assessment of data initiatives from a security point of view.
• Ensure the cryptographic keys and related components are safety and protection of confidential information.
• Resolve data security audit and risk findings.
• Review and develop security controls to current access controls policies and procedures.
• Provide requirements for create and manage roles, access rights (includes privileged access), authentication and identity within the environment.
• Conduct periodic review of user access.
• Review, approve and monitor the usage of privileged access.
• EDUCATION.
• Bachelor s degree in computer science, Information Systems, or equivalent education or work experience.
• EXPERIENCE.
• Work experience in privacy, compliance, information security, auditing or a related field may also be an accepted alternative, according to Cybersecurity.
• Minimum 3 years of experience in and strong knowledge of privacy, data, operational risk management, information security, or related areas in IT.
• OTHER REQUIREMENTS.