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Skills:
Statistics, Data Analysis, Google Analytics
Job type:
Full-time
Salary:
negotiable
- Analyze business opportunities, deliver in-depth analysis, and propose solutions to Business to meet business objectives and targets.
- Recommend campaign mechanics, methodologies, and target segments for marketing campaigns based on customer behavior analysis.
- Provide performance tracking for the marketing campaigns, Ad-hoc and MIS reports.
- Develop and implement statistical models to improve campaign efficiency, provide test/control procedure, and monitor the model performance.
- Work closely with the product team to uncover trends and business insights in order to answer questions and solve business problems that lead to data-driven decisions and growth hacking strategies.
- Assist business team, data scientist, and IT teams to identify the product vision of new products/platforms, as well as validate if the products/platforms have achieved product/market fit including specifying metrics that matter and related visualized reports and dashboards.
- Create reports and dashboards that contain useful, actionable information using easy-to-understand visualization for relevant decision-makers.
- Master's Degree in MIS, IT, computer science, statistics, mathematics, business, or related field.
- Minimum of 3 years' experience in data analysis roles.
- Strong creative and analytical problem-solving capabilities.
- A product mindset - ask and address the most important analytical questions with a view on enhancing a product's impact.
- Experience in the data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation.
- Experience with data tools and languages like Google Sheets, Google Analytics, SQL, Tableau, Power BI, or similar.
Skills:
Data Analysis, Finance, SQL, English
Job type:
Full-time
Salary:
negotiable
- Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
- Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
- Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
- ML Model creation: Create data analytic model including both deterministic and machine learning model.
- AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
- Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
- Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
- Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
- Decision-making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.
- Master's degree in Finance, Business, Engineering, or a related field.
- Strong business acumen, with a deep understanding of retail and wholesale business.
- 3+ years of proven experience as a data analytic role (Retail or E-Commerce business is preferable).
- Hands-on Experience in SQL, data cloud platform (e.g., Databricks, Snowflake, GCP, or AWS), and high proficiency in Excel.
- Good Knowledge of Statistics.
- Experience in Python (Pandas, Numpy, SparkSQL), Data Visualisation (Tableau, PowerBI) is a plus.
- Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
- Fluent in Thai and English.
- Having a good attitude toward teamwork and willing to work hard.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: 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. .
Skills:
Automation, Power BI, Tableau, English
Job type:
Full-time
Salary:
negotiable
- Develop data pipeline automation using Azure technologies, Databricks and Data Factory.
- Understand data, reports and dashboards requirements, develop data visualization using Power BI, Tableau by working across workstreams to support data requirements including reports and dashboards.
- Analyze and perform data profiling to understand data patterns following Data Quality and Data Management processes.
- Proof of concept and Test solutions of ETL tools for customer relationship management.
- Develop and maintain customer profile data service using Grails framework, Apache Hadoop, Shell script, and Impala-shell.
- Establishes requirements and coordinates production with programmers to control the solution.
- Defines application problems by conferring with users and analyzing procedures and processes.
- Writes documentation such as a technical specification, troubleshooting, and application log to serve as a reference.
- 3 years+ experience in big data technology, data engineering, data science, data analytic application system development.
- Have an experience of unstructured data for business Intelligence or computer science would be advantage.
- Java, Groovy, JavaScript, Perl, Shell Script.
- Grails Framework, Catalyst Framework, Nodejs.
- MySQL, MongoDB, MariaDB, Apache Hadoop, Impala.
- Documentation, testing, and maintenance.
- Intelli J IDEA, Visual Studio Code, Postman, RoboMongo, MobaXterm, WinSCP.
- English communication.
- Fast learner, Creativity and Team player.
Skills:
Big Data, ETL, SQL
Job type:
Full-time
Salary:
negotiable
- Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
- 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 experiences in Data Management or Data Engineer (Retail or E-Commerce business is preferrable).
- Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
- Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick.
- Experience in Python is a must.
- Experience in Generative AI is a must.
- Knowledge in machine/statistical learning, data mining is a plus.
- Strong analytical, problem solving, communication and interpersonal skills.
- Having good attitude toward team working and willing to work hard.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: 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. .
Skills:
Python, Power BI, Data Analysis
Job type:
Full-time
Salary:
negotiable
- Create, Develop and Monitor Auto Replenishment & Parameter.
- Maintain and adjust parameters to optimize stock availability/ stock level during normal/month and promotion periods.
- Investigate and identify root cause of overstocking and OOS at Store/DC.
- Monitoring of target stock on normal/seasonal period to suit with business sale target.
- Adjust daily sales in system to correct average daily sales after promotion period.
- Forecasting demand in each promotion campaign to manage Parameter setting.
- Develop Daily KPI Dashboard to monitor sales performance VS Suggest number from system.
- Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic, Data Scientist and other relate filed.
- Have experience in System Analysis, Data Analysis, Supply Chain Analysis for 2-5 Years.
- Have experience in Retail / FMCG business would be advantage.
- Excellent for Excel, Power BI, Python.
- Good Analytic skills.
Skills:
Business Development, Data Analysis, SQL
Job type:
Full-time
Salary:
negotiable
- Lead the development and execution of data-driven strategies to optimize sales and business development efforts within seller segment.
- Analyze large datasets to identify trends, opportunities, and potential risks, providing actionable insights to the sales and category management teams.
- Collaborate with cross-functional teams to design and implement data visualization tools and dashboards for monitoring performance and decision-making.
- Monitor market trends, competitors, and customer behavior to inform category strategies and adjust as needed to maintain a competitive edge.
- Develop and maintain predictive models to forecast sales, identify potential upselling and cross-selling opportunities, and assess the impact of promotional activities.
- Bachelor's degree in Business Administration.
- Minimum of 3 years of experience in data analytics, with a focus on sales and/or category management in a fast-paced, e-commerce environment.
- Proficient in using data analysis tools such as SQL, Python, R, and experience with data visualization platforms like Tableau or Power BI.
- Strong understanding of statistical analysis and modeling techniques, with the ability to communicate complex findings to non-technical stakeholders.
- Excellent interpersonal and communication skills, capable of building relationships and influencing decision-making across different teams.
Experience:
3 years required
Skills:
Compliance, Legal, Risk Management
Job type:
Full-time
Salary:
negotiable
- 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.
Job type:
Full-time
Salary:
฿50,000 - ฿70,000, negotiable
- Lazada s strong performance led to the acquisition of a majority stake by Alibaba Group in April 2016. Given our tremendous growth, we are searching for dynamic, entrepreneurial, broad-minded individuals to be part of our rapidly expanding team! Join our diverse and motivated team to hone in on your creativity as well as implement new initiatives within a nurturing, equal opportunity environment!.
- Lazada Thailand employs over 850+ professionals and has won many awards namely for Top Marketplace from Priceza and People's Choice 2017..
- Job Scope.
- ꔷ Analyze and interpret complex data sets to uncover insights and trends that drive business strategy and decision making.
- ꔷ Data extraction via SQL for analysis and reporting purpose, ensuring data quality and accuracy.
- ꔷ Design and maintain dashboards, reports, and visualizations using tools to communicate insights effectively.
- ꔷ Participate in data governance initiatives, ensuring compliance with data privacy and security regulations.
- ꔷ Collaborate with cross-functional teams to consolidate and track progress of business actions, as well as ensuring delivery of reports and insights.
- ꔷ Maintain in-house data and documentation portals, ensuring data quality and up-to-date information & reports.
- ꔷ Stay updated with industry trends and new technologies to enhance data analytics capabilities..
- ꔷ Bachelor's/Master's Degree, preferably in MBA, Management, Business Analytics, Statistics, Mathematics.
- ꔷ Strong analytical and problem-solving skills, with ability to breakdown complex problems into simpler pieces.
- ꔷ Effective communicator with excellent presentation skills.
- ꔷ Self-motivated, strong ownership and strong team management skills.
- ꔷ Prior knowledge & experience on working with SQL is desirable, and at least one data visualization tool (e.g., Tableau, Power BI).
- ꔷ At least 2-3 years of work experience in analytics, consulting, or other quantitative position would be highly preferred.
- ꔷ Able to communicate in Chinese would be additional advantage.
Skills:
SAP
Job type:
Full-time
Salary:
negotiable
- Design, build and configure applications to meet business process and application requirements.
- Keep abreast of current and emerging SAP technologies and trends and assist in the selection of robust and appropriate technologies.
- Design and deliver retail-specific processes and end to end functional configuration in SAP.
- Demonstrate technical expertise in end-to-end configuration of sales and supply chain processes in SAP (or S/4 HANA).
- At least 1 year of experience as SAP SD Consultant.
- Degree in Information Technology, Computer Science or another relevant field.
- Hands on experience in Implementation or Data Migration.
- Experience in data migration is a must.
Job type:
Full-time
Salary:
negotiable
- About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every chall ...
- Minimum Qualifications-Bachelor degree or above, graduate degree is preferred, math, statistics, computer-related majors are preferred, strong capability of data analytics is required;-experience in research and analysis positions in consulting, e-commerce/ads is preferred. Preferred Qualifications-Outstanding reasoning capability and logic, with good problem solving methodologies, being able to independently output quality strategic solutions, strong learning and adaptive ability, strategic framework thinking, sensitivity and insight into the business;-Have some strategic thinking capacity, able to quickly understand the business and discover the connection between business and data performance;-Proficiency in SQL for data analysis, understanding of common statistical and analytical methods, and skills in BI visualization tools such as Tableau/Power BI is a plus;-Fast learner, passionate about participating in business, and able to adapt to high intensity and fast growth work environment.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.If you have any questions, please reach out to us at [email protected].
Skills:
Research, Automation, Statistics
Job type:
Full-time
Salary:
negotiable
- Work on Data Architecture. They use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements.
- Collect Data. Before initiating any work on the database, they have to obtain data from the right sources. After formulating a set of dataset processes, data engineers store optimized data.
- Conduct Research. Data engineers conduct research in the industry to address any issues that can arise while tackling a business problem.
- Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
- Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
- Bachelor Degree in IT, computer science, statistics, mathematics, business, or related field.
- Minimum of 3 years' experience in data engineer roles.
- Experience in the data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation.
- Experience with data tools and languages like CLOUD, Python, Java similar.
- Experience with data processing, ETL and workflow and messaging queue like Kafka.
- Data Warehousing.
- Data Structure.
- ETL Tools Programming Languages (Python, Java, Pyspark).
Experience:
5 years required
Skills:
Data Analysis, Automation, Python
Job type:
Full-time
Salary:
negotiable
- 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.
Skills:
Statistics, Excel, SQL, English
Job type:
Full-time
Salary:
negotiable
- Be the partner with PTG s business teams, understand their data needs, and build plans to address those with intelligent data on time.
- To tell a story and provide insights to the users enabled to make better decision by delivering data solution.
- Use statistical tools to identify, analyze, and interpret patterns, trends and insights in complex data sets that could be helpful for the diagnosis and prediction to support PTG s business.
- Responsible for planning and providing final analysis report for PTG s business to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
- Encourage and collaborate with multiple internal stakeholders to use statistical / analytical tools in planning and decision-making process.
- Bachelor s degree in computer science, data analytics, statistics, economics or related fields.
- Proficient in data analytics tools and other computer programs; MS Word, Excel, PowerPoint etc.
- Excellent communication skill both in Thai and English.
- Experience in programming and SQL.
- Able to work under pressure and with multiple stakeholders within limited timeline.
- Interested in new technologies / innovations.
- Master's degree in a quantitative discipline.
- At least 1-2 years of experience in a similar role preferably with solid knowledge in food & beverage industry, CRM and retail business.
- Experience working on teams that managed large scale data projects.
- Knowledge with Data Science, Advanced Analytics, Machine learning tools, and methodologies.
- Conceptual, logical and physical data modeling, and data architecture knowledge.
- Visualization expertise in tools like Tableau and Power BI etc.
- PTG Energy Public Company Limited
- 90 CW Tower, Tower A, 33rd Floor, Ratchadaphisek Road, Huaykwang, Bangkok 10310
- www.ptgenergy.co.th.
Skills:
SQL, Python, SAS
Job type:
Full-time
Salary:
negotiable
- Manage and plan the data direction and strategy for business need.
- Drive successful of data insight initiatives and effective collaboration with stakeholders.
- Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
- Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
- Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
- Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
- 5 years of experience as a data analyst or business data analyst.
- Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience with data studio, Big Query,model,generative AI.
- Experience with R, Python, SAS, SPSS, other analytic tools.
- Experience supporting and working with cross-functional teams in a dynamic environment.
Skills:
Cloud Computing, SAP, Linux
Job type:
Full-time
Salary:
negotiable
- 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.
Skills:
Product Owner, Scrum, Project Management
Job type:
Full-time
Salary:
negotiable
- Collaborating with prospective users and clients to understand and anticipate their needs and translate them into product requirements.
- Defining the vision for the product team and maintaining a cohesive vision throughout the process.
- Creating a product road map based on this vision.
- Managing the product backlog and prioritizing the tasks based on changing requirements.
- Overseeing all stages of product creation, including design and development.
- Monitoring and evaluating product progress at each stage of the process.
- Working with the product team and end-users to deliver updates and status reports.
- Participating in Scrum meetings and product sprints.
- Bachelor degree.
- At least 4 years of working experience.
- At least 2 years of working experience in Project Management.
- In-depth knowledge of Scrum and Agile Software Development Methodology.
- Working knowledge of product development architecture.
- Proficiency in the use of analytic tools and strong analytical thinking.
- Ability to prioritize effectively.
- Contact Information:-.
- Office of Human Capital.
- DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
- Lao Peng Nguan Building, Tower 1.
- 333 Vibhavadi Rangsit Road, Ladyao Subdistrict, Chatuchak District, Bangkok 10900.
Job type:
Full-time
Salary:
negotiable
- 1) Use social media listening tools to monitor and analyze brand mentions, consumer sentiment.
- 2) Conduct research studies using social media data to understand consumer behavior, competitor activities, and emerging trends.
- 3) Develop dashboards and reports to visualize social media insights & 1st party data.
- 4) Leveraging 1st party data through personalize marketing communication/quick surveys.
- 5) Perform other related duties as assigned.
- 1) Minimum Education bachelor s in business/marketing/ marketing research/data science/ communication related fields.
- 2) 3-5 years in social media analytics, market research, or consumer insights.
- 3) Hands-on experience with social media listening tools (e.g., Wisesight, Zanroo, Brandwatch, Talkwalker, Sprinklr, Meltwater).
- 4) Experience in consumer market insights or research is a plus.
- 5) Strong analytical and problem-solving skills.
- 6) Good communication skills (in Thai and English.)
- 7) Proficiency in a Social Media Listening tool
- 8) Proficiency in Excel
- 9) Experience with data visualization tools (Power BI, Tableau, Google Data Studio)
- 10) Knowledge of CRM loyalty programs, or customer data platforms (CDP)
- 11) Proficiency in Google Analytics, and basic SQL knowledge, Python, R is a plus.
- 12) Experience with data privacy (PDPA, GDPR) compliance is a plus.
- 13) Knowledge of FMCG, digital marketing, e-commerce is a plus.
Skills:
Product Owner, Scrum, Project Management
Job type:
Full-time
Salary:
negotiable
- Collaborating with prospective users and clients to understand and anticipate their needs and translate them into product requirements.
- Defining the vision for the product team and maintaining a cohesive vision throughout the process.
- Creating a product road map based on this vision.
- Managing the product backlog and prioritizing the tasks based on changing requirements.
- Overseeing all stages of product creation, including design and development.
- Monitoring and evaluating product progress at each stage of the process.
- Working with the product team and end-users to deliver updates and status reports.
- Participating in Scrum meetings and product sprints.
- Bachelor degree.
- At least 4 years of working experience.
- At least 2 years of working experience in Project Management.
- In-depth knowledge of Scrum and Agile Software Development Methodology.
- Working knowledge of product development architecture.
- Proficiency in the use of analytic tools and strong analytical thinking.
- Ability to prioritize effectively.
- Contact Information:-.
- Office of Human Capital.
- DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
- Lao Peng Nguan Building, Tower 1.
- 333 Vibhavadi Rangsit Road, Ladyao Subdistrict, Chatuchak District, Bangkok 10900.
Experience:
5 years required
Skills:
Sales
Job type:
Full-time
Salary:
negotiable
- Cover the given market and segment market for data & feeds solutions.
- Creatively structure, hunt and close deals.
- Develop the sales strategy within assigned territory / account base.
- Build long term relationships with professionals across various targeted industries.
- Qualifications and Experience Required Deep understanding of financial markets and their market data requirements.
- While product knowledge is a plus, enthusiasm and solid selling skills are a far more important.
- Strong sales closer!.
- Experience driving sales strategies.
- 5+ years of industry, sales or market experience.
- Consistent track record in a quota bearing sales environment.
- LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
Experience:
7 years required
Skills:
Project Management, Scrum, Product Owner
Job type:
Full-time
Salary:
negotiable
- Bachelor s degree in Business Administration, Innovation Management, Computer Science, Data Science, or a related field.
- At least 7 years of experience managing projects, with at least 2 years focused on innovation, digital transformation, or emerging technologies.
- Proven experience in end-to-end project management, including planning, execution, monitoring, and delivery.
- Experience working with project management tools such as JIRA, Trello, Asana, or MS Project.
- Knowledge of data analytics frameworks, predictive models, and data-driven decision-making methodologies.
- Understanding of emerging technologies (e.g., AI, machine learning, Generative AI, IoT) and innovation frameworks.
- Strong analytical, problem-solving, and decision-making skills.
- Excellent stakeholder management, communication, and presentation skills.
- Ability to work in a fast-paced, agile environment with cross-functional teams.
- Certifications: PMP, Prince2, Agile (Scrum Master, Product Owner), or Design Thinking certifications.
- You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. 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 the Bank. .
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