เงื่อนไขการค้นหา

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Python, C++

ประเภทงาน:

งานประจำ

• รวบรวมข้อมูลจากแหล่งต่างๆ (Data Collection) และจัดเตรียมข้อมูล.
• วิเคราะห์ข้อมูลและประมวลผลข้อมูลตาม Data Model.
• จัดทำ Visualization แสดงผลของข้อมูล เพื่อนำเสนอสารสนเทศที่สังเคราะห์ได้จากข้อมูล Big Data.
• พัฒนา Data Scince Modle เขียนโปรแกรมเพื่อประมวลผลข้อมูลโดยอัตโนมัติและเชื่อมต่อกับส่วนประกอบอื่นๆ.
• ทดสอบการทำงานของโปรแกรม.
• ประชุมเก็บรวบรวม Business requirement, Process จาก User.
• ปฎิบัติงานอื่นๆ ตามที่ได้รับมอบหมายจากผู้บังคับบัญชา.
• วุฒิการศึกษา ปริญญาตรี หรือ ปริญญาโท.
• จบคณะวิทยาศาสตร์ สาขาคอมพิวเตอร์ หรือที่เกี่ยวข้อง.
• มีประสบการณ์ทำงานอย่างน้อย 2 ปี ในตำแหน่ง System Analyst & design หรือที่เกี่ยวข้อง.
• สามารถวิเคราะห์ระบบตามที่บริษัทกำหนดได้.
• สามารถออกแบบระบบได้.
• มีความรู้ใน Oracle หรือ Microsoft SQL.
• มีความรู้ด้าน Object Oriented Programming เป็นอย่างดี.
• พัฒนาโปรแกรมแบบ Model View Control ได้.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Agile Development, Software Development, Full Stack

ประเภทงาน:

งานประจำ

• Work across the front end apps development, building highly scalable distributed solutions that enable positive user experiences and measurable business growth.
• Develop new features and infrastructure in support of rapidly emerging business and project requirements.
• Assume leadership of new projects, from conceptualization to deployment.
• Ensure application performance, uptime, and scale, and maintain high standards for code quality and application design.
• Work with agile development methodologies, adhering to best practices and pursuing continued learning opportunities.
• If you're also familiar with Agile methodologies, we'd like to meet you.
• Work with development teams and product managers to ideate software solutions.
• Design client-side architecture.
• Build the front-end of applications through appealing visual design.
• Develop and manage well-functioning databases and applications.
• Test software to ensure responsiveness and efficiency.
• Troubleshoot, debug and upgrade software.
• Create security and data protection settings.
• Build features and applications with a mobile responsive design.
• Write technical documentation.
• Work with data scientists and analysts to improve software.
• Managing the complete software development process from conception to deployment.
• Maintaining and upgrading the software following deployment.
• Managing the end-to-end life cycle for the production of software and applications.
• Overseeing and guiding the analyzing, writing, building, and deployment of software.
• Overseeing the automated testing and providing feedback to management during the development process.
• Modifying and testing changes to previously developed programs.
• Who are we looking for?.
• At least 4 years of experience as frontend engineer.
• Proven experience as a Full Stack Developer or similar role.
• Experience developing react based web and native mobile applications for iOS (swift) and Android (Flutter).
• Familiarity with common stacks.
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery).
• Knowledge of JavaScript frameworks (e.g. Angular, React, Node.js).
• Familiarity with databases (e.g. MySQL, MongoDB).
• Excellent communication and teamwork skills.
• Great attention to detail.
• Organizational skills.
• An analytical mind.
• Degree in Computer Science, Statistics or relevant field.

ทักษะ:

Big Data, Finance, Project Management

ประเภทงาน:

งานประจำ

• Design and implement RS Mall platform operation process and ensure smooth running of new business model execution.
• Improve operation process to enhance the efficiency and effectiveness of platform operation process.
• Ensure that all information related to each marketing campaign is delivered to all relevant parties, e.g. telemarketing agents, trainer, etc.
• Perform post-launch evaluation of each marketing campaign and share key success / learning to all relevant parties.
• Review and identify the improvement areas in the campaign execution process.
• Be the focal point between product manager and marketing head for all matters relating to Telemarketing department.
• Work with big data to initiate campaigns that fit with specific group of customers.
• Work with product manager and marketing head to execute the requested marketing campaign.
• Closely work with data scientist to identify the quality dataset to support campaign analysis and development.
• Manage performance all team members in order to work efficiency and achieve company or KPI s targets.
• The ideal candidate should possess the following background.
• Bachelor degree in Marketing (Bachelor degree in MIS or Finance with professional experience in marketing field is welcome.
• At least 5 years of experience in campaign management, category management or process improvement.
• Strong analytics skills, sales environment, including sales process, content, and systems.
• Understand the analytics basis and modeling process.
• Strong project management and communication skills.
• Experience in agile practice will be advantage.

ทักษะ:

ETL, SQL, Hadoop

ประเภทงาน:

งานประจำ

• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experience in Data Management or Data Engineer (Retail or E-Commerce business is preferable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in BigData Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Experience in Generative AI is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• Lotus's
• Ek-Chai Distribution System Co., Ltd.
• Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.".

ทักษะ:

Data Analysis, ETL, Data Warehousing

ประเภทงาน:

งานประจำ

• Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
• Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
• Data Modeling: Design and implement data models that are optimized for scalability, ...
• Data Transformation and ETL: Develop and maintain efficient Extract, Transform, and Load (ETL) processes to transform raw data into a structured format suitable for analysis and reporting.
• Data Warehousing: Build and maintain data warehouses or data marts that enable efficient storage and retrieval of structured and unstructured data for reporting and analytics purposes.
• Data Governance and Security: Establish and enforce data governance policies and procedures, including data privacy and security measures, to ensure compliance with industry regulations and protect sensitive data.
• Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
• Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, and software engineers, to understand their data needs, provide data solutions, and support their analytical initiatives.
• Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.
• Documentation: Maintain documentation of data processes, data flows, data models, and system configurations, ensuring accuracy and accessibility for future reference.
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as Python, SQL. C++ is plus.
• At least 3 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark, Hive).
• Familiarity with cloud-based data platforms, such as AWS.
• Knowledge of ETL tools and techniques for data integration and transformation.
• Understanding of data governance, data security, and regulatory compliance requirements.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Ability to work in a fast-paced environment and handle multiple projects simultaneously.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

ทักษะ:

Research, Python, SQL, Thai

ประเภทงาน:

งานประจำ

• Read, understand, and replicate research papers to help train custom models and enhance our search capabilities.
• Apply knowledge in Siamese networks, XGBoost, Learning to Rank, Two Towers, reranking, relevancy tuning, collaborative filtering, and building embeddings.
• Develop expertise in Thai language NLP tasks, such as vector creation, closest word match, handling tokenization, and fuzziness in non-space languages, using neural networks.
• Work with backend servers and REST APIs to integrate data science solutions into our platform.
• Analyze data and focus on hands-on, results-oriented approaches rather than theoretical modeling.
• Productionize models and collaborate with cross-functional teams to ensure smooth implementation and optimal performance.
• Fine tune LLMs and understand MLOPs.
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience as a Data Scientist, preferably in the search domain and Thai language retail search niches.
• Strong understanding of Siamese networks, XGBoost, Learning to Rank, Two Towers, reranking, relevancy tuning, collaborative filtering, and building embeddings.
• Familiarity with NLP techniques and challenges specific to the Thai language.
• Experience with backend servers and REST APIs.
• Excellent analytical and problem-solving skills, with a focus on hands-on, results-oriented approaches.
• Strong programming skills in Python and SQL.
• Experience with machine learning frameworks such as TensorFlow.
• Familiarity with cloud platforms, preferably AWS.
• Health Insurance - At Maknet, we care about your health! Group insurance from a top insurance company is included in your benefits OPD, IPD, Emergency OPD.
• Provident Fund - Maknet cares about your long-term plan! We offer 3% provident fund.
• Year-end bonus - We include variable and performance bonus for our employees.
• Gym Facilities - Our Head office has a fitness center, yoga room, and recreational space. Enjoy Bangkok scenery and work your body!.
• Attractive Vacations days - Enjoy our attractive annual leave. Let s say the minimum is 18 days!.
• Flexible working hours - We know people have different productive cycles. Choose your way of work whether you are a night owl or an early riser.
• No overtime - We work 5 days a week with. We set our own goals and deadlines.
• Cool hardware - New MacBook. The tool to help you be the best of yourself.
• Free car parking space - No more stress or extra cost if you drive to work. We offer free parking space for our employees.
• Best Culture
• Clear focus.
• Diverse Workplace (Our members are from around the world!).
• Thai and Non-Thai are both welcome!.
• Non-hierarchical and agile environment.
• Growth opportunity and career path.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Database Administration, Python, Analytical Thinking, Good Communication Skills, English

ประเภทงาน:

งานประจำ

• Lead and perform end-to-end large-scaled data discovery (e.g., data acquisition, data cleansing, data modelling) together with developing effective algorithms to provide actionable insights leading to business improvement (e.g., operation improvement, value-added services, growth of revenue).
• Conduct and run data experiment to prototype new data innovation ideas, explore a variety of approaches and refine promising ideas into product ready model or new model.
• Manage (prioritize) and support requests on data analysis and data analytic assignments from business units to identify actionable insights and make recommendations for strategic decision making.
• Communicate findings and build buy-in with key stakeholders through business insights finding, data prototyping or innovation demonstration.
• Coach junior data scientists/ data analyst on technical knowledge. Maintain knowledge of data science trends and regularly share knowledge with the team.
• Collaborate with partners to scale data innovations to make business impact.
• Bachelor or Master Degree in Quantitative fields (e.g., Math, Statistics, Engineering, Statistics, Computer Science, Operational Research) or Equivalent industry experience.
• Over 2 years of professional experience in data analytics, data science or data engineering. Proven track records to leveraging data analytics/data science to create business impact.
• Having experience in data science & analytics, data visualization, data architecture, or data engineering, Programming language (Python, R or Matlab), SQL/ NoSQL, Tableau.
• Good at English language.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Project Management, Industry trends, Python

ประเภทงาน:

งานประจำ

• Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
• Collaboration and Project Management: Collaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project prog ...
• Customer Engagement and Support: Act as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases.
• Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
• Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation.
• Required Technical and Professional Expertise Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field.
• Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
• Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
• Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
• Preferred Technical and Professional Expertise Experience: 0 - 2 years of proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.
• About Business UnitIBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company's Global Markets organization is a strategic sales business unit that manages IBM's global footprint, working closely with dedicated country-based operating units to serve clients locally. These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients' growth and innovation. By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities. Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply. IBM is also expanding its reach to new and existing clients through digital marketplaces.
• Your Life @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
• Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
• Are you ready to be an IBMer?.
• About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
• Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.
• Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Statistics, Research, SAS

ประเภทงาน:

งานประจำ

• Leading, executing, and delivering data science projects for clients in Thailand.
• Developing detailed project scopes and methodologies, designing, and implementing solutions using appropriate tools and techniques.
• Building strong relationships with Visa partners, clients, and corresponding data science & analytics teams, driving collaboration, and ensuring the implementation of Visa's recommendations.
• Maintaining quality control and up-to-date documentation for all data science projects.
• Innovating by utilizing Visa's data, client data, and non-traditional data sources to meet client needs.
• Enhancing existing data science and analytic techniques by promoting new methodologies and best practices.
• Fostering thought leadership in the data science domain and building intellectual property through innovation.
• Managing communication with clients and stakeholders effectively.
• Mentoring, guiding, and supervising data scientists in the project team.
• Delivering analytics projects from inception to completion, providing actionable insights and recommendations.
• Identifying opportunities for innovation using non-traditional data and new modeling techniques.
• Managing internal and external stakeholders.
• Supervising data scientists reporting to this role.
• Developing data-driven solutions using Visa data.
• Building data science visualization capabilities to address client problems.
• Driving innovation using data science techniques.
• Advocating for data science within partner organizations, advising and coaching analytical teams, and sharing best practices and case studies.
• Continually assessing the environment to challenge assumptions about data sources, potential analytics partners, tools, talent, and infrastructure.
• Exploring and adopting leading methodologies and best practices from other international markets.
• This is an individual contributor role.
• We are looking for a motivated, analytical minded individual with a track record of using data science and analytics expertise to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about payments industry and application of data analytics, should be results-driven and client-centric.Degree (master's or Ph.D. would be an advantage) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience.
• 7+ years of experience in performing data exploration and feature engineering.
• 8 -10 years of professional work experience in banking, payments, or related industry.
• Hands on experience with data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive, and a working knowledge of Hadoop ecosystem.
• Proficiency in statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc.
• Demonstrated experience in planning, organizing, and managing multiple and concurrent analytics projects with diverse cross-functional stakeholders.
• Strong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization.
• Excellent presentation and storytelling skills, including strong oral and written capabilities.
• Storyboarding and data storytelling including strong Excel and PowerPoint skills.
• In market experience and/or knowledge of local language, culture as well as industry regulations.
• Additional InformationVisa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

ทักษะ:

Contracts, Research

ประเภทงาน:

งานประจำ

• Excellent technical/IT skills. Able to understand the impact of technology on studies and to use and develop computer skills while making appropriate use of systems/software.
• Knowledge of relevant operational procedures, systems and quality guidelines regarding clinical studies.
• Able to work independently as well as in a team.
• Professional attitude with good customer focus (internal and external).
• Role Responsibilities.
• Maintain up to date participating center's information (including all contact details, contracts and reports).
• Responsible for preparing the Investigator and Sponsor files with essential documents for the initiation of sites participating in clinical studies. Assist study staff with maintaining the sponsor files during the life of the study. Responsible for archiving at the end of study in accordance with relevant SOPs, policies and local regulatory requirements.
• Input and oversee clinical study tracking systems.
• Proactively identifies issues and raises them to study staff to take necessary corrective action to ensure smooth and rapid progress of studies.
• Assist in the planning, logistics and preparation of local Investigator meetings (travel arrangements, assist with preparation and distribution of study related presentation material etc.).
• Responsible for working with the study staff for the management of study materials, non-IMP and IMP supplies - distribution, ordering, tracking, storage, reconciliation and destruction using external vendor. Details of destruction to be filed.
• As an active participant of clinical study teams, engage in local study meetings during the life of the study to obtain general knowledge about the study and be responsible for given tasks.
• Assist study staff with study related activities such as:
• organizing study meetings and scheduling travel,.
• producing minutes for study-related meetings,.
• assembling training and study materials,.
• updating contact details,.
• maintaining study documentation,.
• assisting in the preparation of documents and other tasks as required.
• Knowledgeable of systems.
• Keep up to date with all the changes/required knowledge on ICH GCP, written standards and attending appropriate training sessions.
• May be responsible for supporting multiple studies simultaneously and must prioritize appropriately to meet business needs to ensure delivery of results.
• Requirement to communicate and work effectively with medical staff/physicians/scientists who are often senior within their field, being mindful of their standing within the medical and/or research community.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Tableau, Big Data, SQL

ประเภทงาน:

งานประจำ

• Able work with data user for implementing and developing the data analyze to actionable insight.
• Gathering, understanding and analyzing detailed of business requirements by using appropriate tools and techniques.
• Creating, monitoring and reviewing the data dashboard/report.
• Experience using business intelligence tools or data visualization tool (e.g. Tableau).
• Able to analyze trends and patterns for solving problems of business insight in big data by working with business user and data scientist/data engineer.
• Proficient in using SQL languages.
• Excellent in Microsoft Excel (e.g. Pivot table, vlookup) and Power Point.
• Designing and reviewing the test cases including the campaign designs.
• Having a business mind and detail oriented.
• Recruiter Atitaya Dechpan (อทิตยา เดชปาน)

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Tableau, Big Data, SQL

ประเภทงาน:

งานประจำ

• Able work with data user for implementing and developing the data analyze to actionable insight.
• Gathering, understanding and analyzing detailed of business requirements by using appropriate tools and techniques.
• Creating, monitoring and reviewing the data dashboard report.
• Experience using business intelligence tools or data visualization tool eg.Tableau.
• Able to analyze trends and patterns for solving problems of business insight in big data by working with business user and data scientist, data engineer.
• Proficient in using SQL languages.
• Excellent in Microsoft Excel eg.Pivot table, vlookup and PowerPoint.
• Designing and reviewing the test cases including the campaign designs.
• Having a business mind and detail oriented.
• Skills Require Programming languages, such as SQL.
• Analytic Tools such as Tableau, SAS VA, Power BI.
• Statistical Knowledge.
• The ability to analyse, model and interpret data.
• A methodical and logical approach.
• The ability to plan work and meet deadlines.
• Accuracy and attention to detail.
• Interpersonal skills.
• Teamworking skills.
• Communication skills such as Story Telling.
• At least 2-3 year of experience with Data Analysis.
• Understanding ofbusiness intelligence, data analyst, big data, Tableau andSQL.
• Understanding of Teleco industry, Customer Value Management.
• Recruiter Supaporn Limsiritong (สุภาภรณ์ ลิมศิริธง), Waritta Kongsab (วริษฐา กองทรัพย์)

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Digital Marketing, Quantitative Analysis

ประเภทงาน:

งานประจำ

• Digital Transformation & Strategy: Helping clients rethink the impact of digital on their business and accelerate their transformation efforts.
• Emerging Technology Topic Advisory: including Cloud, Blockchain/Crypto/DeFi, Metaverse/Web3.
• Customer Centricity: Reinventing the customer experience, leveraging journey maps, deep customer empathy, and data to create transformative digital interfaces, marketing strategies, and process innovations.
• Digital Marketing & Personalization: Optimising digital marketing programs across all digital channels and levers, including precision marketing, and analytics-enabled, one-to- one personalization.
• Big Data & Analytics: Driving transformational value through cutting-edge applications of AI and Machine Learning tools that are fully scaled into the business.
• New Ways of Working: Building ongoing organisational change capabilities, and helping clients transform into digital enterprises that continue to develop and innovate with speed, at scale.
• Transformation of the Technology Function and Technology Build: Redesigning technology functions to improve flexibility, efficiency, and Business-IT alignment.
• What You'll Bring (Experience & Qualifications).
• A minimum of 5 years of full-time work experience within digital fields, including product management, digital marketing & analytics, and/or designing & delivering world-class software products, in leading digital companies and/or start-ups.
• History of building credibility and relationships with leaders, technical and non-technical people to align on strategy, inspire stakeholders, and execute on a day-to-day basis. The ability to work with and lead multi-disciplinary teams including engineers, architects, data scientists or whatever is required to solve the client's challenge will be vital to success.
• Advanced quantitative analysis, solid business acumen and problem- solving ability.
• Established record of driving digital transformation and topics with value creation in mind.
• Excellent communication skills; able to explain complex industry concepts in non-technical terms.
• Bachelor's degree preferably in an IT/Computer Science, Engineering or related discipline.
• MBA, Masters or PHD will be highly regarded.
• Flexibility to travel within SEA region.
• What Can A Career At BCG Offer You?.
• An opportunity to innovate and change: We have a legacy of developing deep insights and game-changing ideas and our case teams take ideas from all levels in order to deliver breakthrough insights to our clients.
• Training and mentoring: We embed mentorship and apprenticeship throughout your time at BCG. You will have a support system of career development advisors, the guidance of project leaders, and partnership with your colleagues and teammates at every turn.
• A collaborative approach: You will join a growing team of talented individuals, operating and learning from people with a diverse and broad set of backgrounds.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Digital Marketing, Quantitative Analysis

ประเภทงาน:

งานประจำ

• Digital Transformation & Strategy: Helping clients rethink the impact of digital on their business and accelerate their transformation efforts.
• Emerging Technology Topics Advisory: including Cloud, Blockchain/Crypto/DeFi, Metaverse/Web3.
• Customer Centricity: Reinventing the customer experience, leveraging journey maps, deep customer empathy, and data to create transformative digital interfaces, marketing strategies, and process innovations.
• Digital Marketing & Personalization: Optimising digital marketing programs across all digital channels and levers, including precision marketing, and analytics-enabled, one-to- one personalization.
• Big Data & Analytics: Driving transformational value through cutting-edge applications of AI and Machine Learning tools that are fully scaled into the business.
• New Ways of Working: Building ongoing organisational change capabilities, and helping clients transform into digital enterprises that continue to develop and innovate with speed, at scale.
• Transformation of the Technology Function and Technology Build: Redesigning technology functions to improve flexibility, efficiency, and Business-IT alignment.
• What You'll Bring (Experience & Qualifications).
• A minimum of 8 years of work experience; of which at least 3 years in strategy consulting environment and demonstrated experience leading a team of consultants in driving large-scale digital transformation projects and advising clients on a range of technology topics.
• History of building credibility and relationships with leaders, technical and non-technical people to align on strategy, inspire stakeholders, and execute on a day-to-day basis. The ability to work with and lead multi-disciplinary teams including engineers, architects, data scientists or whatever is required to solve the client's challenge will be vital to success.
• Advanced quantitative analysis, solid business acumen and problem- solving ability.
• Established record of driving digital transformation and topics with value creation in mind.
• Excellent communication skills; able to explain complex industry concepts in non-technical terms.
• Bachelor's degree preferably in an IT/Computer Science, Engineering or related discipline.
• MBA, Masters or PHD will be highly regarded.
• Flexibility to travel within SEA region.
• What Can A Career At BCG Offer You?.
• An opportunity to innovate and change: We have a legacy of developing deep insights and game-changing ideas and our case teams take ideas from all levels in order to deliver breakthrough insights to our clients.
• Training and mentoring: We embed mentorship and apprenticeship throughout your time at BCG. You will have a support system of career development advisors, the guidance of project leaders, and partnership with your colleagues and teammates at every turn.
• A collaborative approach: You will join a growing team of talented individuals, operating and learning from people with a diverse and broad set of backgrounds.