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Skills:

SEO, Project Management, Digital Marketing, English

Job type:

Full-time

• SEO Specialist.
• Media Buyer (Google & Facebook Ads).
• Data Analyst.
• Web Designers.
• Content Marketers.
• Digital Admins.
• As these are agency roles, you will be joining a team responsible for the strategy, delivery, and success of digital marketing campaigns for a multitude of clients including and thus should have a desire to be able to learn and apply your marketing skills across a broad range of industries and niches. You should be up for the challenge of joining a fast-growing company and be ready to take ownership of the results and success of our client campaigns.
• Strategize marketing campaigns for our clients to achieve their growth, lead, sales, and ROI goals.
• Manage the tasks and deliverables for client campaigns using our project management software.
• Completing tasks as assigned to you by our Marketing Director.
• Quality checking all client work before it is delivered or implemented.
• Ensuring client campaigns remain within budget be managing adherence to time tracking principles at task level.
• Identifying and rectifying any campaign issues with proactive analyst.
• Identifying additional marketing or upsell opportunities for our clients.
• Debriefing our account managers on campaign updates and results for them to communicate to their clients.
• We will provide you:.
• Extensive on the job training and education opportunities.
• Exposure to apply your digital marketing skills to multiple business industries.
• Annual and KPI Bonuses.
• Work Days: 5 day work week (Monday - Friday).
• Staff Social Club and Regular Events and Outings.
• Generous Annual Leave Packages.
• Travel and Accommodation Allowances.
• Promotion Opportunities.
• So if you have experience or skills in any of the above roles, and you would like to join a company with a great team culture we would love to receive your application. We welcome junior applicants or fresh graduates to apply as we are a company that provides extensive on the job training and learning opportunities. Upon receiving your application we will discuss with you your desired role and career growth goals. Thank you.
• Pay: ฿25,000.00 - ฿54,999.00 per month.
• Digital Marketing: 2 years (Required).
• English Fluency (Required).

Skills:

Data Analysis, Excel, Power BI, English

Job type:

Full-time

• Deliver insights on range reviews, promotional optimization, price optimization, customer development plan, shopper segmentation, store segmentation and advanced analysis for supplier collaboration program.
• Interpret questions from Big C merchandizing and marketing teams, design and deliver timely answers to these ad hoc requests.
• Help to improve existing analysis and Big C business process and support the supplier team in delivering advanced analytics.
• Coaching and training Big C users to have adequate knowledge of the solutions for self-sufficiency.
• Bachelor s or Master s Degree any fields.
• Experience in Data Analysis and Business Analysis.
• 3-5 years of experience working in Retail or FMCG industries.
• Able to use Excel and BI tools (Power BI, Tableau and etc.).
• Good command of English.

Skills:

Scrum, Project Management, Product Owner, English

Job type:

Full-time

• Banking and/or Financial Services industry experience (Core Banking / Core) OR Data & AI is required.
• Minimum Bachelor s degree or equivalent.
• At least 6 years of industry/ consulting experience (depending on seniority).
• Prior experience in business process improvements, operating model, business analysis. However, prior experience in other roles can be considered.
• Prior experience in Waterfall and/or Agile Methodologies will be ideal (ITIL, Scrum, etc would be an advantage).
• Strong application project management skill and design knowledge.
• Functional.
• Conversant in Thai & English (as this role will be interfacing with Thai stakeholders who are versed in Thai & English language).
• Ability to work in a team environment delivering quality software that meets requirements working to a timeline.
• Ability to articulate and clearly communicate complex problems and solutions in a simple and logical manner.
• Well-developed analytical skills and the ability to provide clarity to complex issues and synthesize large amounts of information.
• Able to work independently.
• Consulting and partnering with our clients to help them develop high performance industry, functional and/or digital solutions to advance their industry position.
• Act as the single point of contact for both internal and external parties to ensure smooth and consistent communication flow of business/functional requirements.
• Facilitate and drive functional workshops to drive desired design outcomes.
• Gather and analyze business requirements and translate them into functional requirements specification or user stories.
• Assess and evaluate business process, business model, and organization to identify areas of improvements, define/propose potential business and technology solution to enhance business performance.
• Define customer journey and/or operational process to serve full life cycle of banking-related process.
• Assist the product owner with creating and maintaining a healthy and ordered product backlog.
• Provide supports to other workstream such as development, testing and deployment activities.
• Communicate with other teams and stakeholders to identify, monitor and resolve functional dependencies.
• All our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You ll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career..
• Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion, or belief, ethnic or national origin, disability, age, citizenship, marital, domestic, or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law..
• The Organization.
• Accenture is an Irish-domiciled multinational professional services company that provides services in:.
• 1) Technology.
• 2) Strategy & Consulting.
• 3) Interactive.
• 4) Operations.
• As a Fortune Global 500 company, it has been incorporated in Dublin, Ireland since September 1, 2009.
• With more than 500,000 employees worldwide in 200 cities across 51 countries Accenture also operates more than 100 innovation hubs, developing solutions for cloud, finance, and other industries..
• The Pillar.
• The Groups.
• Accenture Banking & Consulting / Financial Services.
• Technology has changed the way people and businesses bank, and traditional strategies no longer work. Now is the time for bold new approaches to intensifying disruption.
• Segments.
• Retail Banking - Helping banks deliver winning experiences using the latest technology and the best of data, analytics and talent to make better decisions day to day.
• Commerical & Corporate Banking - Helping banks deliver winning experiences using the latest technology and the best of data, analytics and talent to make better decisions day to day.
• Central Banks & Regulators - Leveraging new technology, data and a lean operating model to maximize market efficiency and better regulate the industry.
• Specialty Finance - Profiting from the convergence of industries to provide custom lending experiences through advanced analytics and integrated digital processes.
• Payments - Helping banks and specialist providers create value-added payments products and services for clients across retail, public service, travel and more.

Skills:

Power BI, Excel, Microsoft Office

Job type:

Full-time

• วิเคราะห์ และจัดทำรายงานเปรียบเทียบข้อมูล ต่างๆ เช่น รายวัน, รายเดือน, รายปี โดยเปรียบเทียบกับข้อมูลในอดีตเป้าหมาย และการประมาณการในอนาคต เพื่อนำเสนอผู้บริหาร.
• จัดทำงบประมาณประจำปีในส่วนของ ยอดขาย และค่าใช้จ่ายส่งเสริมการขาย.
• จัดทำรายงานสรุป Profit & Loss ประจำเดือนในมุมมองบริหารฯ เพื่อนำเสนอผู้บริหาร.
• จัดทำฐานข้อมูลตามแนวทางต่างๆ เพื่อสนับสนุน การคำนวณ/การทำรายงานของส่วนงานอื่นๆ ที่เกี่ยวข้อง เช่น เป้าหมายการจ่ายเงินจูงใจให้กับพนักงาน, เป้าหมายการจ่ายเงินรางวัล เป็นต้น.
• ออกแบบ Dashboard สำหรับข้อมูลด้านต่างๆ ที่เกี่ยวข้อง ให้ผู้ใช้งานเข้าใจ และสามารถนำไปใช้ได้ง่าย เช่น Power BI.
• ออกแบบ Template ให้ส่วนงานต่างๆที่เกี่ยวข้อง เพื่อรองรับการทำงานในการรวบรวมข้อมูล เพื่อช่วยให้การทำงาน ได้ผลลัพธ์ที่รวดเร็วขึ้น.
• วิเคราะห์ข้อมูลอื่น ๆ ที่เกี่ยวข้อง ตามที่ได้รับมอบหมาย.
• ให้คำแนะนำในกาวิเคราะห์ข้อมูล แก่หน่วยงาน ต่าง ๆ ที่มีการใช้งานข้อมูล.
• งานอื่น ๆ ที่ได้รับมอบหมาย.
• มีทักษะในการใช้คอมพิวเตอร์โปรแกรม MS Excelขั้นสูง.
• มีทักษะการใช้คอมพิวเตอร์อื่นๆ ได้เป็นอย่างดี: Microsoft Office; Word, Power Point.
• มีความสามารถทางการวิเคราะห์ การวางแผน และการจัดการอย่างเป็นระบบ และมีมาตรฐานในการทำงาน.
• มีทักษะในการสื่อสาร และความสามารถ ในการเจรจา ต่อรอง.
• มีความสามารถในการเรียนรู้สิ่งใหม่ ๆ ได้รวดเร็ว.
• มีทักษะในการนำเสนองาน.
• มีทักษะในการใช้ Power BI (ถ้ามี).
• มีความรู้พื้นฐานด้านการเขียนโปรแกรมต่าง ๆ (ถ้ามี).
• ติดต่อสอบถาม.
• บริษัท โมเดิร์นเทรด แมนเนจเม้นท์ จำกัด.
• อาคารเล้าเป้งง้วน 1 ชั้น 26 ถนนวิภาวดีรัสิต แขวงจอมพล เขตจตุจักร แขวงจอมพล เขตจตุจักร จังหวัดกรุงเทพมหานคร.

Skills:

Research, Risk Management, Microsoft Office

Job type:

Full-time

• Transaction Monitoring:Analyze transactions in real-time using fraud detection tools and rules.
• Identify suspicious activity based on pre-defined risk profiles and behavioral patterns.
• Investigate flagged transactions and determine their legitimacy.
• Escalate high-risk cases to the Fraud Management team for further investigation.
• Fraud Investigation:Gather and analyze evidence related to suspected fraudulent activity.
• Conduct research to identify potential fraud schemes and perpetrators.
• Document findings and recommend appropriate actions, such as blocking accounts, recovering funds, or reporting to law enforcement.
• Collaborate with internal teams (customer support, risk management) to resolve cases effectively and efficiently.
• Data Analysis & Reporting:Analyze fraud trends and patterns to identify emerging threats and adjust detection rules accordingly.
• Generate reports on fraud activity, providing insights to the Fraud Management team and senior management.
• Track and measure the effectiveness of fraud prevention and detection measures.
• Stay Informed:Stay up-to-date on the latest fraud threats, trends, and best practices.
• Participate in ongoing training and development opportunities to enhance your skills and knowledge.
• Minimum of 2-3 years of experience in fraud analysis or a related field.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and ability to identify anomalies in data.
• Proficient in Microsoft Office Suite,SQL language and data analysis tools.
• Understanding of fraud detection and prevention techniques preferred.
• Effective communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Bachelor's degree in business administration, finance, IT, engineering, or a related field preferred.

Skills:

Tableau, Big Data, SQL

Job type:

Full-time

• Gathering, understanding, and analyzing detailed business requirements using appropriate tools and techniques.
• Identify trends and opportunities for growth through analysis of complex data sets.
• Create best-practice ongoing reports/dashboards based on data mining, analysis, and visualization.
• Use data to answer key questions about the business.
• Deliver takeaways from data with statistical significance.
• Experience using business intelligence or data visualization tools (e.g. Tableau, PowerBI).
• Able to analyze trends and patterns for solving business insight problems in big data by working with business users and data scientists/data engineers.
• Proficient in using SQL languages.
• Excellent in Microsoft Excel (e.g. Pivot table, vlookup) and PowerPoint.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Data-oriented personality, great communication skills, and an excellent eye for detail.

Skills:

Sales, Marketing Strategy, Statistics

Job type:

Full-time

• Analyze consumer behavior, market trends, and competitor data, and provide data-driven recommendations for business expansion or marketing strategy development.
• Collect sales, operational, and marketing data from internal and external sources to assess the impact of marketing campaigns and forecast business opportunities.
• Update and maintain accurate databases, and create analytical reports (Dashboards) to present data to management.
• Coordinate with marketing, sales, and other departments to gather information for analysis and address the needs of the organization.
• Bachelor's degree or higher in Data Science, Marketing, Statistics, or a related field.
• At least 2-3 years of experience in data analysis. Experience in retail business will be considered an advantage.
• Proficiency in data analysis tools such as Excel, SQL, Power BI, Tableau, or Python.
• Strong analytical skills and the ability to solve problems in a systematic manner.
• Good presentation and communication skills to convey complex information clearly.
• Attention to detail and the ability to work under pressure.
• Able to start working immediately is the priority**.

Skills:

Statistics, Research, Finance

Job type:

Full-time

• Engage stakeholders to understand business problems and customize analytic and predictive model solutions to business needs.
• Solve problems using advanced statistical techniques including, but not limited to regression/logic regression, bootstrap, factor analysis, decision tree, clustering & binning, and basket analysis.
• Conduct exploratory data profiling techniques, common summary descriptive statistics, etc.
• Develop and maintain expertise in a wide range of new technologies, methodologies, and techniques facilitating advanced research, decision sciences, and systems engineering.
• Support the design and management of market and product experiments and pilots to test hypotheses or generate test and control observation data.
• Partner with Technology, Product Management, Engineering, Marketing, Sales, and Finance teams to deliver solutions for clients and into the operation.
• Build and lead a team of analysts, while initially serving as an individual contributor.
• Lead projects with moderate complexity.
• Engage internal customers to understand problems and customize analytic and predictive model solutions to business needs.
• Bachelor's or Master's in Mathematics, Science, Statistics or related Technical field; or Equivalent related professional experience (e.g. driving significant and sustained change and performance improvement from data-driven insights).
• Demonstrates statistical competency and requires limited supervision.
• Familiar with SQL, Python, or R, or any other major data analysis programming language.
• Experience working in the fundamentals of big data architecture (streaming events, data lakes, analytics engines) and relational database models.
• Display strong domain knowledge, business acumen, and critical reasoning skills.
• Strong skills in Excel, PowerPoint, and statistical/data processing software packages and programming languages (e.g. SAS, R, SQL, SPSS, etc.).
• Mines data sets using sophisticated analytical techniques to generate insights and inform business decisions.
• Identifies and tests hypotheses, ensuring statistical significance through experimental design and builds predictive models for business application, product development, etc.
• Translates quantitative analyses and findings into accessible visuals for all stakeholders and multiple audiences, and provide clear view into interpreting data.
• Ability to work in and among cross functional teams.

Experience:

5 years required

Skills:

Project Management, Finance, Microsoft Office, English

Job type:

Full-time

• Create and update the Network Resilience and Network Master Plan taking into account data from internal and external sources to deliver business aspiration.
• Be a focal point of Multi Year plan process and NW TnR process, and integrating this work to overall Mobility team.
• Be a focal point for future specific network strategy review or new strategy development for network and Mobility planning.
• Own, develop and be focal point of Post-Investment Review on Mobility Network investment. Own overall program and ensure specific project owners complete the PIRs as per the guideline requirement.
• Own the economic assumption in Downstream Valuation Model which need to review yearly.
• Provide a regular update on Network performance and overall T&R delivery.
• Assure data transparency for reporting in ClearTrack (project management tool) to enable global visibility.
• Own & accountable for the data accuracy and the tools. This might work and deliver via other teams - S&Op, Marketing, Real Estate and Planner.
• Interface with:The role will work integratively with Planners, Finance, Engineering, Real Estate, S&OP, MKT, Comm Fleet, Trade & Supply and Global CoE.
• Special Challenges & Learning Opportunities The position requires a wide working interface with various functions within Mobility, outside Mobility esp. Trade &Supply, Global COE & TH IPU team.
• The position required a quick learner with high analytical skill and can work with various information and stakeholders within and outside Mobility and with global team, and can translate the analysis to strategy development.
• This position will provide a very in depth learning of Mobility business and strategy development. Highly expose to various and senior stakeholders.
• The position will provide the opportunity to learn/ skill in developing business strategy in the future.
• Education background of Master s degree in Business Administration / Engineering as minimum.
• More than 5 years of relevant work experience.
• Have experience in Commercial background is a plus.
• Basic knowledge in Finance.
• Strong analytical skill, structured-approach and strategic-thinking will ensure the success of the candidate in this role.
• Sharp analytical skill; Excellent in Microsoft Office tools (Other analytical tools i.e. Phyton is a plus).
• Technology driven.
• Very good in presentation skill.
• Fluent in English Communication skills including writing, speaking, and reading.

Skills:

Assurance

Job type:

Full-time

• Develop and analyze Enterprise Service revenue to understand Product and Service trends within the AIS Group, ensuring that revenue collection, promotion packages, and new services are properly executed according to the company s business conditions.
• Identify suitable QA methods to reduce revenue loss and prevent errors in the Line Operation's work, sharing knowledge to strengthen revenue assurance.
• Verify the completeness and accuracy of service calculations, promotion packages, and offerings for corporate customers.
• Review the calculation of Postpaid Voice and IDD services, as well as IR services in the RBM system, ensuring they are correct, complete, and in line with the rates and conditions set by the company, with no abnormalities that could lead to revenue loss (Real Loss/Opportunity Loss).
• Communicate, coordinate, and follow up on issues causing revenue loss, identify the root causes, and work with relevant departments to resolve the problems, reducing revenue loss, particularly in Voice services.
• Analyze data from various sources within the scope of responsibility using data analytics skills, reflecting trends, performance, efficiency, and effectiveness of Products and Services. Identify abnormalities impacting revenue loss (Real Loss/Opportunity Loss & Fraud), and conduct audits and monitoring.
• Prepare analysis reports to support management strategies and assess risks in various areas.
• Perform other duties as assigned by the supervisor.

Skills:

Employer Branding, Branding, Automation

Job type:

Full-time

• Collect, clean, and integrate HR data from various sources, including HRMS, Excel, Google Sheets, and text files, to ensure accurate and reliable data for analysis.
• Develop and maintain HR analytical reports and dashboards, including executive dashboards, that support decision-making across HR areas, such as turnover analysis, Manpower, employer branding activities, etc.
• Implement HR automation processes to streamline data workflows.
• Coordinate and execute project-related data analytics tasks and ad-hoc projects, ensuring timely and accurate completion.
• Stay updated on emerging technologies, especially AI, to enhance HR data solutions.
• Education: Bachelor s Degree in IT, Computer Science, Computer Engineering, Data Analytics, or a related field. An advanced degree in a relevant area is a plus.
• Dashboard Tools: Proficiency in creating and managing interactive dashboards using Power BI Desktop, Power BI Service, Looker Studio, and Excel.
• Data Analysis Tools: Strong experience in data analysis and transformation using Power Query, SQL, and Python, including data extraction, transformation, and query optimization.
• Application Tools: Knowledge of and experience with no-code/low-code platforms (e.g., Power Apps, AppSheet) for creating applications and automating workflows.
• Project Management: Proven ability to manage multiple projects simultaneously, adapt to fast-paced environments, and consistently meet deadlines.
• Communication Skills: Strong verbal and written communication skills, with the ability to present complex, data-driven insights in a clear and impactful manner to non-technical stakeholders.

Skills:

SQL, Data Warehousing, ETL, English

Job type:

Full-time

• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Retrieve, prepare, and process a rich data variety of data sources.
• Apply data quality, cleaning and semantic inference techniques to maintain high data quality.
• Explore data sources to better understand the availability and quality/integrity of data.
• Gain fluency in AI/ML techniques.
• Experience with relational database systems with expertise in SQL.
• Experience in data management, data warehousing or unstructured data environments.
• Experience with data integration or ETL management tools such as Talend, Apache Airflow, AWS Glue, Google DataFlow or similar.
• Experience programming in Python, Java or other equivalent is a plus.
• Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, Google DataStudio, Google Analytics or similar.
• Experience with Agile methodology and Extreme Programming is a plus.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Good communication in English.

Job type:

Full-time

• 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:

Data Analysis, Finance, SQL, English

Job type:

Full-time

• 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:

Finance, Usability Testing, Industry trends

Job type:

Full-time

• Advanced Requirement Gathering & Analysis:Engage with senior stakeholders across diverse business units (e.g., marketing, sales, operations, and finance) to extract and refine detailed business requirements.
• Lead process mapping initiatives and perform in-depth analysis of current workflows to identify strategic opportunities for system enhancements and digital transformation.
• Documentation & Functional Specification Leadership:Develop and oversee the creation ...
• Ensure documentation accuracy and consistency across projects, aligning technical details with overall business strategy.
• Business Case Development:Create robust business cases for technology projects, including detailed cost-benefit analyses, ROI assessments, and risk evaluations to support strategic decision-making.
• Project Development & Vendor Management:Lead project development activities, managing the RFI/RFP processes and evaluating vendor proposals to select the best-fit partners.
• Oversee vendor negotiations and ensure external solutions align with our business requirements.
• System Integration & Process Strategy:Evaluate existing systems and integration points, providing recommendations for improvements that optimize performance and enhance user experience.
• Lead system integration initiatives, ensuring that new and existing applications communicate effectively and that data flows seamlessly across platforms.
• Serve as a subject matter expert in systems analysis and process re-engineering, ensuring solutions align with both short-term needs and long-term strategic goals.
• User Experience (UX) Optimization:Take a hands-on approach to UX design, including prototyping, conducting usability testing, and implementing design improvements independently when needed.
• Collaborate with product teams to analyze and improve user interactions with both internal and external systems, ensuring intuitive, efficient, and user-centric designs.
• Leadership & Mentorship:Lead cross-functional meetings and workshops to build consensus and drive project initiatives.
• Provide guidance and mentorship to junior peers, fostering a culture of continuous improvement and professional development within the team.
• Collaboration & Stakeholder Management:Act as the primary liaison between business leaders, IT teams, and external vendors, ensuring seamless communication, timely delivery, and successful implementation of projects.
• Drive the prioritization of initiatives and manage expectations across multiple stakeholders.
• Continuous Improvement & Innovation:Monitor and evaluate system performance post-implementation, gathering feedback and proactively identifying further opportunities for enhancement.
• Stay current with industry trends and emerging technologies, incorporating innovative practices into business processes and system design.
• Bachelor s degree in Business Administration, Information Technology, Computer Science, or a related field. An advanced degree or relevant certifications is highly desirable.
• Experience:Minimum of 5+ years experience in a Business Analyst, Systems Analyst, or a similar role within a dynamic, multi-domain business environment.
• Demonstrated experience in leading digital transformation projects, developing detailed Functional Requirement Documents, and working within agile or iterative development frameworks.
• Proven track record of managing complex system integrations, vendor evaluations (including RFI/RFP processes), and overall project management.
• Technical Skills:Expertise in process mapping and documentation tools (e.g., Lucidchart, Figma or similar).
• In-depth understanding of software development lifecycles, database concepts, and integration methodologies.
• Strong familiarity with UX design principles and the ability to collaborate effectively with design teams.
• Product Management Knowledge: Understanding of product management processes, lifecycle, and strategies to align technical solutions with business outcomes.
• Cloud Platforms: Practical knowledge of cloud environments (e.g., AWS, Google Cloud, and Azure) to support scalable and flexible technology solutions.
• System Integration Expertise: Experience in designing and implementing system integrations, ensuring seamless communication between disparate systems and optimizing data flow.
• Soft Skills:Exceptional communication, presentation, and interpersonal skills, with the ability to interact confidently with senior management and technical teams.
• Superior analytical and problem-solving skills with a keen attention to detail.
• Proven leadership abilities, including project management, team mentoring, and stakeholder coordination.
• A proactive, strategic mindset with the ability to drive initiatives and manage multiple priorities in a fast-paced environment.

Skills:

Social media, Data Analysis, Digital Marketing

Job type:

Full-time

• Campaign Strategy & Execution: Develop and implement effective marketing campaigns across various channels (e.g., digital, social media, events) to target specific SME segments and drive lead generation.
• Data Analysis & Reporting: Extract data from multiple sources, analyze campaign performance, and leverage insights to optimize marketing strategies and improve business performance.
• Audience Targeting: Identify target audiences, their needs, and their online behavio ...
• Channel Optimization: Identify and explore new opportunities within existing marketing channels to increase sales and improve ROI.
• Strategic Partnerships: Build and maintain strong relationships with key partners and alliances within the SME ecosystem.
• Budget Management: Prepare and manage the marketing budget, ensuring efficient allocation of funds across different channels and campaigns.
• Content Creation & Approval: Oversee the creation and approval of high-quality marketing materials, including website banners, brochures, social media posts, and other relevant content.
• Performance Monitoring & Optimization: Track campaign performance, analyze key metrics (e.g., website traffic, conversion rates, ROI), and make necessary adjustments to improve campaign effectiveness.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Experience in digital marketing, including SEO, SEM, social media marketing, and content marketing.
• Proficiency in data analysis tools (e.g., Google Analytics, CRM software).
• Strong project management and organizational skills.
• Ability to work independently and as part of a team.
• Bachelor's degree in a related field.
• Experience: Demonstrable marketing experience and a willingness to learn.
• Audience insight: Proven ability to identify target audiences and create effective marketing campaigns.
• Analytical skills: Familiarity with web analytics tools and the ability to analyze SME behavior.
• Collaboration: Represent the marketing team to cross-functional groups, including product management, sales, and customer support.
• Market Research and Project Management: Background in market research and project management.
• SME Marketing Communications Specialist.
• This role is responsible for developing and executing effective marketing communication strategies to promote products, services, and brand awareness within the Small and Medium Enterprise (SME) segment.
• Develop Marketing Communication Strategies: Create and implement comprehensive marketing communication plans for SME target audiences across various channels.
• Coordinate with IMC Team: Collaborate closely with the Integrated Marketing Communications (IMC) team to plan, develop, and distribute marketing and sales materials for the SME segment.
• Channel Management: Work closely with channel teams to ensure all SME communication channels and campaigns are aligned with business objectives and effectively reach the target audience.
• Creative Oversight: Oversee all SME marketing artwork and media, including direct communication, online presence, website content, and digital media.
• Budget Management: Manage and control the SME marketing budget effectively, ensuring optimal allocation of funds across different channels and campaigns.
• Initiative Development: Proactively identify and propose new marketing initiatives and campaigns to support SME business growth and achieve successful outcomes.
• Strong understanding of marketing principles and best practices.
• Excellent communication and interpersonal skills.
• Experience in developing and executing marketing campaigns across various channels.
• Proficiency in project management and organizational skills.
• Strong analytical and problem-solving skills.
• At least bachelor's degree.
• Have at least 3 years experience of relevant professional experience in brand management/ brand marketing experience.
• Proactive and results oriented thinker who would flourish in an entrepreneurial environment where new ideas are championed.
• Communicates clearly and succinctly in both oral and written forms.
• Demonstrated interest and enthusiasm for marketing and communications (advertising, digital marketing, pr, media).
• Incentive Program Analyst.
• This role is responsible for designing, implementing, and managing an effective incentive program to drive sales performance. The ideal candidate will have a strong analytical background and the ability to work cross-functionally with sales, finance, and product teams.
• Develop and Implement Incentive Programs: Design and implement well-structured incentive schemes aligned with company strategy and sales objectives.
• Communication & Training: Effectively communicate incentive program details to sales teams and provide user-friendly tools and resources to help them understand and maximize their incentives.
• Performance Analysis: Analyze the relationship between incentive payouts and business performance. Forecast sales performance by product, region, and other key metrics. Simulate incentive budget spending based on different scenarios.
• Data Management & Reporting: Build and maintain dashboards to track individual and team incentive payouts and performance. Sync data sources on revenue and margin from relevant teams to accurately calculate incentive performance.
• Product Knowledge & Accuracy: Understand enterprise products and coordinate with analysis and product teams to ensure the accuracy of product masters before generating performance reports.
• Sales Target Setting: Prepare sales targets by product, region, and individual seller. Review and adjust target allocations for employee transfers or resignations.
• Process Improvement: Coordinate with working teams to automate data processing and reporting, reducing manual work and minimizing calculation errors.
• Strong analytical and problem-solving skills.
• Proficiency in data analysis and reporting tools (e.g., Excel, SQL, Tableau).
• Excellent communication and interpersonal skills.
• Strong understanding of sales processes and incentives.
• Ability to work independently and as part of a team.
• At least bachelor's degree.
• Have at least 3 years experience of relevant professional experience in brand management/ brand marketing experience.
• Proactive and results oriented thinker who would flourish in an entrepreneurial environment where new ideas are championed.
• Communicates clearly and succinctly in both oral and written forms.
• Demonstrated interest and enthusiasm for marketing and communications (advertising, digital marketing, pr, media).

Skills:

SQL, Research, Java

Job type:

Full-time

• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Educational.
• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).

Job type:

Full-time

• Position No.1: Product Development (Product Platform: AIS Play).
• Job Summary: Design, execute, and manage video products for AIS PLAY, focusing on UI/UX design, feature development, customer experience enhancement, and OTT integrations..
• Lead the design and management of AIS PLAY's video products, including UI/UX improvements, new feature development, and OTT integrations.
• Create prototypes and detailed product specifications.
• Collaborate with technical and marketing teams to gather and prioritize product requirements.
• Conduct user research and data analysis to drive product decisions.
• Optimize digital experience performance, identifying areas for improvement and competitive advantages.
• Recommend and implement strategies to enhance user experience.
• Perform additional tasks as assigned by management.
• Bachelor's degree in Computer Science, or related field.
• 1-2 years of experience in product management or similar role.
• Proficiency in English communication.
• Basic understanding of OTT platforms and streaming technologies.
• Experience with project management tools (e.g., Jira, Trello).
• Familiarity with agile methodologies.
• Strong analytical and problem-solving skills.
• Experience in the entertainment industry, particularly video streaming.
• Knowledge of data analysis tools and techniques.
• Understanding of UX/UI design principles.
• Experience with video streaming or media platforms.
• Click Link to Apply => https://ais.wd3.myworkdayjobs.com/Careers/job/Bangkok/Senior-Marketing-Officer--Product-Owner---Product-Platform-_R24014095.
• Position No.2: Business Analyst (OTT Package Platform - AIS Play).
• Design and implement OTT packages, including integration of various services, optimizing user journey, and enhancing user experience for each OTT offering.
• Manage and oversee package operations, ensuring smooth functionality, troubleshooting issues, and continuously improving package performance and user satisfaction.
• Collaborate with platform development team and stakeholders to align package creation with overall product strategy and technical capabilities.
• Design, execute, and Manage Video Product and related (AIS PLAY), including UI & UX design, features development, customer experience, package and OTT integrations.
• Lead the integration of our OTT platform with third-party OTT partners.
• Collaborate with OTT partner to develop and launch the collaboration service ie Billing on behalf, Service bundling.
• Oversee troubleshooting processes for platform issues, working closely with customer support, technical, and QA teams.
• Bachelor's degree in Business, Computer Science, or related field.
• Proficiency in English communication.
• Familiarity with agile methodologies.
• Strong analytical, motivational, coordinate and problem-solving skills.
• Experience with video streaming or media platforms.
• Knowledge of data analysis tools and techniques.
• Understanding of UX/UI design principles.
• Basic understanding of OTT platforms and streaming technologies Experience with project management tools (e.g., Jira, Trello).
• Click Link to Apply => https://ais.wd3.myworkdayjobs.com/Careers/job/Bangkok/Product-Development-Specialist_R24012583.

Skills:

Data Analysis, Big Data, SQL, English

Job type:

Full-time

• Analyze Internal Data such as Traffic, Car Parking, Wi-Fi, Customer (Local & Global Citizen), Promotion, Loyalty Program Proposition, Member data and tenants including the new business data sets in the future to understand the customer insight in depth.
• Bring insights from Data Scientist to analyze to find the business opportunities, process improvement and find new initiate new business ideas for sales and revenue increase including enhancing Customer Engagement.
• Analyze to find the customer need and insights from consolidating existing data. This is to keep tracking on the consumer behavior and consumer preference so that the company can present the proper products, services and marketing communications according to each customer target group.
• Analyze the business data in depth for marketing campaigns by both Offline and Online channels to accomplish the expected objectives.
• Analyze the data on return of investment from marketing activities and Loyalty Programs, this would enhance learning curve on investment for Marketing and extend the business ideas for all related stakeholders to work effectively.
• Support internal parties in terms of providing data analysis from Analytics products of all properties, ONESIAM Super App to drive the data-led organization.
• Verify and ensure the quality of the data before distributing to internal parties to be accurate, updated and effective enough preparing for data analysis.
• Manage a small group member on data analyst.
• Perform other tasks as assigned.
• Graduated from Bachelor or Master Degree in Business, Computer Science, Engineering or other related fields.
• At least 10 years of strong experience in Data Analysis for big data.
• Able to use analytic tools such as SQL, Python, PySpark, etc.
• Good at storytelling for the data analysis.
• Good command in English.
• Experience in manage a small of members before.
• Possess detail-oriented, communication, analytical, strategic thinking skills.

Skills:

Industry trends, Statistics, Python

Job type:

Full-time

• Develop and execute a forward-thinking analytics strategy tailored to the retail industry, focusing on leveraging data platforms to drive revenue growth, operational efficiency, and customer satisfaction.
• Lead, mentor, and inspire a team of data scientists and analysts, fostering a culture of innovation, collaboration, and data-driven decision-making.
• Stay ahead of industry trends, emerging technologies, and best practices in data science and retail analytics to maintain CP Axtra s competitive edge.
• Analytics Execution.
• Oversee the integration of diverse data sources, including POS systems, CRM platforms, online transactions, and third-party providers, into our cloud-based data platform.
• Design and develop advanced machine learning models, algorithms, and statistical analyses to uncover actionable insights related to customer behavior, product performance, and market trends.
• Apply expertise in recommendation and personalization algorithms to enhance customer experiences and engagement.
• Deliver data-driven solutions to optimize pricing strategies, inventory management, and promotional campaigns, leveraging state-of-the-art analytics tools and methodologies.
• Business Partnership.
• Partner closely with retail operations, marketing, and sales teams to understand business challenges and provide tailored analytical support that aligns with strategic objectives.
• Identify opportunities to enhance customer segmentation, personalized marketing efforts, and customer retention strategies through advanced data science techniques.
• Act as a key advisor to senior leadership, translating complex data insights into actionable recommendations and business value.
• Performance Monitoring and Optimization.
• Define and monitor key performance indicators (KPIs) related to retail operations, such as sales conversion rates, customer lifetime value, and basket analysis.
• Leverage analytics to continuously assess and optimize business processes, driving operational efficiency and profitability.
• Communication and Presentation.
• Present complex analytical findings, models, and recommendations to stakeholders in a clear, impactful, and visually compelling manner.
• Collaborate across departments to implement data-driven initiatives that align with CPaxtra s goals and drive tangible outcomes.
• Education and Experience.
• Bachelor s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field (Master s or PhD strongly preferred).
• Extensive experience in analytics, data science, or business intelligence roles, with significant exposure to the retail industry.
• Technical Skills.
• Advanced proficiency in Python, R, SQL, and machine learning frameworks.
• Expertise in data visualization tools (e.g., Tableau, Power BI) and cloud-based data platforms (e.g., AWS, GCP, Azure).
• In-depth knowledge of big data technologies (e.g., Spark, Hadoop) and modern data engineering practices.
• Strong understanding of recommendation/personalization algorithms and data processing technologies.
• Leadership and Business Acumen.
• Proven ability to lead high-performing teams in a dynamic, fast-paced environment.
• Exceptional strategic thinking and problem-solving skills with a demonstrated focus on delivering business value.
• Deep understanding of retail operations, including inventory management, customer journey mapping, and merchandising strategies.
• 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. .