เงื่อนไขการค้นหา

ทักษะ:

Statistics, Data Analysis, Google Analytics

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Excel, Power point, Power BI, English

ประเภทงาน:

งานประจำ

• Bachelor's degree in IT, Supply Chain or any related fields.
• At least 5 years experienced in DC, Warehouse, Supply Chain and Logistics.
• Strong Analytical skills.
• Advance Excel/ Power Point.
• Power BI is preferred.
• SQL/ Python is preferred.
• Good command in English.

ทักษะ:

Data Analysis, Finance, SQL, English

ประเภทงาน:

งานประจำ

• 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. .

ทักษะ:

Python, Power BI, Data Analysis

ประเภทงาน:

งานประจำ

• 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.

ประเภทงาน:

งานประจำ

• 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].

ทักษะ:

Automation, Power BI, Tableau, English

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Big Data, ETL, SQL

ประเภทงาน:

งานประจำ

• 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. .

ทักษะ:

Statistics, Data Analysis, SAS, English

ประเภทงาน:

งานประจำ

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity and analytical skills.
• Experience in digital marketing.
• Academic research experience.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

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 Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
• Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.
• 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 5 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.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

ทักษะ:

Research, Automation, Statistics

ประเภทงาน:

งานประจำ

• 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).

ทักษะ:

SQL, Python, SAS

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Product Owner, Scrum, Project Management

ประเภทงาน:

งานประจำ

• 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.

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Product Owner, Scrum, Project Management

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

ETL, Big Data, SQL

ประเภทงาน:

งานประจำ

• Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
• Experience with Big Data or data warehouse.
• Analyze & translate functional specifications & change requests into technical specifications.
• Experience in SQL programming in one of these RDBMSs such as Oracle.
• Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
• Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
• Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
• Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
• Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
• Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
• Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
• Proficiency in cloud platforms such as AWS, Azure, and associated services.
• Knowledge of IAC tools like Terraform or Azure ARM.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
• Good understanding of IT Operations.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication and teamwork skills to collaborate effectively across various teams.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Data Analysis, Python, SQL, English

ประเภทงาน:

งานประจำ

• Analyze and organize raw data.
• Combine raw information from different sources.
• Designing and building data models to support business requirements.
• Developing and maintaining data ingestion and processing systems.
• Implementing data storage solutions. (databases and data lakes).
• Ensuring data consistency and accuracy through data validation and cleansing techniques.
• Conduct complex data analysis and report on results.
• Explore ways to enhance data quality and reliability.
• Working together with cross-functional teams to identify and address data-related issues.
• Writes unit/integration tests, contributes to engineering wiki, and documents work.
• Bachelor or Master Degree in Computer Science, Software Engineering, Computer Engineering ICT, IT or any related technical field.
• At least 5 years of experience as a data engineer or in a similar role.
• Experience with schema design and dimensional data modeling.
• Experience and knowledge in Python development.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Experience building and optimizing data pipelines, architectures and data sets.
• Experience designing, building, and maintaining data processing systems.
• Experience with orchestration tools e.g. batch and real-time data processing.
• Experience with CICD pipeline data.
• Experience with big data.
• Familiarity with data integration and ETL tools.
• Strong problem-solving and analytical skills.
• Able to speak Thai fluently and basic command in English.

ทักษะ:

Compliance, Risk Management

ประเภทงาน:

งานประจำ

• Develop & Implement Data Governance Framework - Establish policies, standards, and best practices for data management.
• Ensure Data Quality & Integrity - Monitor and improve data accuracy, consistency, and completeness.
• Regulatory Compliance & Risk Management - Ensure adherence to data privacy laws (e.g., PDPA, GDPR) and mitigate risks.
• Define Data Ownership & Stewardship - Assign roles and responsibilities for data management across the organization.
• Manage Data Lineage & Metadata - Maintain a data catalog, track data sources, and ensure proper documentation.
• Gather & Translate Business Requirements - Convert business needs into technical specifications for development teams.
• Document functional and non-functional requirements for data and technology projects.
• System & Process Improvement - Identify gaps in existing systems and workflows and recommend improvements.
• Stakeholder Communication - Act as a bridge between business users and IT teams, simplifying complex technical concepts.
• Compliance & Security Considerations - Ensure data solutions align with governance policies and regulatory requirements.
• Bachelor s or Master s degree in Data Science, Information Management, Computer Science, Business Administration, or a related field.
• Certifications in Data Governance (e.g., DAMA CDMP), Data Privacy (e.g., CIPP/E, CIPM), or Risk Management are a plus.
• 10+ years of experience in data governance, data management, or related fields.
• 5+ years in a leadership or managerial role, overseeing data governance initiatives.
• Proven track record in developing and implementing data governance frameworks, policies, and standards.
• Hands-on experience in data quality management, metadata management, and data lineage tracking.
• Strong background in regulatory compliance (e.g., PDPA, GDPR, CCPA) and risk management.

ทักษะ:

Automation, Big Data, Accounting

ประเภทงาน:

งานประจำ

• Oversee a Master Data specialist team that analyze and enrich master data elements and optimize the flow data between users and BUs.
• Serve as subject matter expert on Master Data Management for IT and Analytics initiatives.
• Be a Head of master data manages data governance and ensures data integrity by leading data management efforts across the company.
• Collaborate with IT to launch scalable and reliable data solutions, support system integration efforts, and create operational efficiencies through automation and process improvements.
• Oversee initiatives for improving data management process.
• Mentor and coach team members on data management methodologies.
• Evaluate the performance of data systems and seek ways to enhance them.
• Troubleshoot and authorize the maintenance of data-related problems.
• Support team members in their day-to-day duties.
• BS degree in any fields.
• Proven working experience as Big Data Analytics.
• Proven knowledge of Data analytics and Report.
• Advanced computer skills on MS Office, accounting software and databases.
• Ability to manipulate large amounts of data.
• Ability to direct and supervise.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Research, English

ประเภทงาน:

งานประจำ

• Support the conduct of fieldwork on client s policies, documentation, and processes against applicable bases (e.g. regulations, industry standards, etc.) as part of assessments and drafting of reports;.
• Support implementation efforts in relation to drafting of policies, templates, processes, etc. to assist client s remediation of gaps;.
• Support coordination of project activities internally and with the client project team as required to drive the engagement;.
• Support the conduct of training sessions to clients as part of project delivery, such as drafting training decks, coordinating administrative matters for the training conduct, etc.;.
• Support activities as relevant and required for implementation of data privacy/protection, security, and governance technological solutions, including development of requirements specifications and test scripts, conducting configuration activities and testing, etc.;.
• Conduct research as required in relation to client engagements, publications, and/or other purposes as required.
• Your role as a leaderAt Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Consultants across our Firm are expected to:Develop diverse, high-performing people and teams through new and meaningful development opportunities.
• Collaborate effectively to build productive relationships and networks.
• Understand and lead the execution of key objectives and priorities for internal as well as external stakeholders.
• Align your team to key objectives as well as set clear priorities and direction.
• Make informed decisions that positively impact the sustainable financial performance and enhance the quality of outcomes.
• Influence stakeholders, teams, and individuals positively - leading by example and providing equal opportunities for our people to grow, develop and succeed.
• Lead with integrity and make a strong positive impact by energising others, valuing individual differences, recognising contributions, and inspiring self-belief.
• Deliver superior value and high-quality results to stakeholders while driving high performance from people across Deloitte.
• Apply their understanding of disruptive trends and competitor activity to recommend changes, in line with leading practices.
• 3-5 years of relevant working experience in the similar field;.
• Diploma or Bachelor s degree from an accredited college/university. Prefer relevant fields such as Law, Cybersecurity, Information Security, or modules around data management, governance, protection and/or privacy;.
• Analytical mind with good troubleshooting skills;.
• Able to conduct and manage project activities independently;.
• Interest in data privacy, governance, and protection;.
• Fluent in English (written and spoken). Fluency in Mandarin/Chinese is a bonus;.
• Certifications such as CIPM, CIPP, CIPT, CISM, CISSP, CISA, etc. is an advantage;.
• Coding knowledge is a bonus.
• Able to manage projects independently;.
• Proven track record of implementing Data Privacy technologies such as PrivacyOps (e.g. consent management, data discovery and inventory, etc.), and/or Data Protection technologies such as Data Loss Prevention, Data Classification, Masking or Tokenization Technology, Encryption, Backup, etc.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website. #LI-CQ1 Requisition ID: 107794In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

ทักษะ:

Compliance, Legal, Risk Management

ประเภทงาน:

งานประจำ

• Establish and maintain appropriate security measures for personal data protection to prevent unauthorized access, loss, alteration, or disclosure..
• Regularly review and update security measures to align with technological advancements and PDPA requirements..
• Ensure third-party vendors handling personal data comply with data protection regulations..
• Implement and oversee data retention and deletion processes per legal requirements..
• Develop a risk management system for PDPA compliance..
• Assess risks related to personal data processing, evaluate mitigation strategies, and audit IT systems for security compliance..
• Conduct periodic assessments of IT systems handling personal data..
• Evaluate the effectiveness of data protection measures in databases, applications, and information security frameworks..
• Bachelor s degree in Computer Science, IT Security, Management Information Systems, or a related field.
• 5-10 years of experience in Database Management, IT Security, or Data Privacy Compliance.
• Proficiency in database management (SQL Server, MySQL).
• Understanding of IT security, data governance or compliance frameworks.
• Location: BTS Ekkamai
• Working Day: Mon-Fri.