ทักษะ:

Sales, Product Development, E-learning, English

ประเภทงาน:

งานประจำ

• Accountable for the Solution portfolio / product mix.
• Define which products are core to the solution portfolio.
• Articulate how each of the products brings unique client benefits.
• Ensure portfolio profitability is understood & improved over time.
• Commercial ownership of pricing rate cards & commercial policies.
• Identify the solutions with the highest revenue opportunity.
• Ensure APAC markets needs are met in product development roadmap.
• Provide APAC Markets teams visibility to product plans and timelines.
• Identify white space in the portfolio / unmet client needs and seek partner / acquisition programs to meet those needs (where we will not build).
• Accountable for the Portfolio Operating Plan (with the correct mix by solution).
• How to Sell?.
• Build a strong community around the portfolio / expertise.
• A community that learns, adopts & activates with speed.
• A community that is formed with Sales & Delivery teams.
• Cross country client opportunities / Best practice sharing.
• Define the WOW to guarantee regular connections within local sales leaders & Market leaders.
• Maintain central Knowledge Management drives to enable your communities.
• Campaign calendar & content.
• Commercial Decks / Proposal Decks.
• Improve Demo Scripts.
• Create and coordinate TL and Webinars (with Inside Sales support).
• Market kit Product adaptation to APAC: Rate cards, Commercial Policies and Discounts, Communication kit (power pages, one-pagers, detailed product presentation, etc).
• Joint coordination with the Inside Sales teams for external and internal campaigns.
• Ensure that the Sales teams are enabled with best-in-class product / solution / sales training materials.
• Seek for consistency across APAC Markets.
• Ensure Power Position sales decks & pitch perfect examples available.
• Develop automated gift of content tools (in partnership with Inside Sales).
• Define the training product plans for APAC teams (in partnership with Inside Sales).
• Execute and coordinate the internal & external training plan (in partnership with Inside Sales).
• Work with Inside Sales team to translate these materials to eLearning where appropriate.
• Share competitive analysis.
• Lead / heavy support to major RFPs and or multi-market RFPs.
• Continuous support to local sales leaders in the definition of the best solution for client specific needs.
• Direct involvement with HQ clients: grow, build, impact relationship and revenue.
• In charge of the coordination of APAC markets for global RFP s.
• Connect with Commercial teams in other regions to identify opportunities to apply in APAC.
• Ensure strong visibility to revenue performance / outlook / $risks & opps for your product portfolio on an continuous basis.
• How to Operate?.
• Strong alignment with Product & Delivery COE organization.
• Ensure product activation & quality consistency across APAC.
• Critical to align how & where new product activation will be tested and scaled through the Delivery COE organization.
• Connect with APAC Delivery team leader to define prioritizations if necessary, delivery gaps & opportunities, define rules and ways of working.
• Accountable for new product activation and scale.
• Role-model talent management excellence and ensure talent retention.
• Measuring Success.
• Improve the EBITDA of core portfolio solutions over time, across APAC.
• Increase Multi-year contracts.
• Increase Subscription contracts.
• Bigger growth on the strategic products.
• Increase Penetration per country/client.
• Increase Penetration Top 20 clients in each APAC countries.
• Penetration of key APAC growth initiatives.
• New product / capability activation - delivered to timetable & $financial goals.
• Tangible progress of Partnership & Acquisition opportunities.
• Talent Development - measured through talent movement & outside-in / diverse leadership appointments.
• Community engagement - measured through specific community activity & outcome.
• Qualifications English level: advanced oral and written.
• Ability to converse in local language is preferred.
• Strong analytical skills and experienced in Analytics & Activation is preferred.
• Good understanding of pricing & promotion, product mix, assortment, shelfing.
• High Negotiation, Problem Solving & Communications Skills.
• Teamwork: Ability to work with others on tasks and activities without necessarily being the leader, even when these are not directly related to their interests or objectives.
• Influence skills, good level of relationship / networking, internal and external.
• Self - motivation: Ability to work towards a goal without depending on constant recognition from your immediate boss.
• Self-starter with solid organizational and planning skills.
• Experience leading teams or solutions.
• High level of energy, motivation, drive, enthusiasm, initiative, commitment and professionalism.
• Able to effectively communicate in a cross-country environment.
• High understanding of the respective industries & retailing in both modern and traditional trade environments.
• Additional Information
• Our Benefits.
• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee-Assistance-Program (EAP).
• About NIQ.
• NIQ is the world s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights delivered with advanced analytics through state-of-the-art platforms NIQ delivers the Full View&trade. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world s population.
• For more information, visit NIQ.com.
• Want to keep up with our latest updates?.
• Follow us on: LinkedIn | Instagram | Twitter | Facebook.
• Our commitment to Diversity, Equity, and Inclusion.
• NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion.

ทักษะ:

Statistics, Data Analysis, SQL

ประเภทงาน:

งานประจำ

• Data Science Foundations: Strong foundation in data science, statistics, and advanced data analytics, including data visualization to communicate insights effectively.
• Exploratory Data Analysis (EDA): Skilled in performing EDA to uncover patterns, detect anomalies, and generate meaningful insights from data.
• Experimentation & Testing: Skilled in designing A/B tests or other experimental designs to measure business impact, analyze results, and communicate findings clearly to stakeholders.
• Machine Learning & AI.
• Model Development & Deployment: Experience in building, deploying, and optimizing machine learning models on large datasets.
• Generative AI (GenAI): Opportunity to work on GenAI projects that drive innovation and impactful business solutions.
• Problem-Solving & Collaboration.
• Analytical & Problem-Solving Skills: Strong analytical and problem-solving abilities focused on deriving actionable insights from data.
• Team Collaboration: Ability to work effectively both independently and as part of a collaborative team, contributing to shared project goals.
• Technical Expertise.
• Proficiency in Big Data Technologies: Expertise in Spark, PySpark, and SQL for large-scale data processing focused on feature creation for machine learning models and data analysis tasks.
• Programming Skills: Strong proficiency in Python for data analysis and machine learning (including libraries like Pandas, PySpark, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn, etc.).
• Python Notebooks: Familiarity with Jupyter, Google Colab, or Apache Zeppelin for interactive data analysis and model development.
• Platform Experience: Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise) is a plus.
• Education & Experience.
• Educational Background: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Information Technology, Engineering, or related fields.
• Work Experience: At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning, with demonstrated technical expertise and a proven track record of driving data-driven business solutions.

ทักษะ:

System Security

ประเภทงาน:

งานประจำ

• ดูแล วางแผน และออกแบบ ระบบรักษาความปลอดภัยสารสนเทศ เช่น Firewall, VPN, Email Security, AAA, Cloud Security, Security Consult.
• บริหารจัดการโครงการด้านความปลอดภัยสารสนเทศ.
• ร่วมพัฒนาระบบงานความปลอดภัยด้านสารสนเทศ ระบบต่าง ๆ ด้าน IOT / ระบบ Email / ระบบป้องกันไวรัส.
• ให้คำแนะนำระบบความปลอดภัยด้านสารสนเทศภายใน และภายนอกแก่หน่วยงานต่าง ๆ พร้อมจัดทำคู่มือ และฝึกอบรมทีมงาน และผู้ใช้งาน.
• ประสานงาน ให้คำปรึกษา และแนะนำระบบความปลอดภัยสารสนเทศให้กับพนักงาน และผู้ที่เกี่ยวข้อง.
• งานอื่น ๆ ตามที่ได้รับมอบหมาย.
• วุฒิการศึกษา: ปริญญาตรี วิศวกรรมศาสตร์ / วิทยาศาสตร์ คอมพิวเตอร์ หรือสาขาอื่น ๆ ที่เกี่ยวข้อง.
• ประสบการณ์ทำงาน: 5 - 10 ปี.
• มีทักษะการสื่อสาร วางแผน และเจรจาต่อรอง.

ประเภทงาน:

งานประจำ

• must have a thorough knowledge of the company and an awareness where possible regulatory breaches may occur.
• effectively communicates the company s key ethics principles and compliance regulations.
• work with business units and management to ensure appropriate contingency plans are in place that set guidelines on how to respond to a possible compliance breach.
• manage master project schedule related to HR audits, reporting, findings/recommendations, corrective actions, and changes.
• o Manage process to maintain HR policies in compliance with applicable laws, rules and regulations.
• o Facilitate cross functional teams, facilitated project meeting, develop and maintain project plans and manage/support solution implementations.
• represent HR in investigation, compliant and disciplinary cases. In an event of a regulatory breach occurring, it is important for the compliance officer to have appropriate disciplinary measures in place to avoid a future recurrence.
• design or update internal policies to mitigate the risk of the company breaking laws and regulations, and lead internal audits of procedures..
• Male / Female with age higher than 30 years old.
• Bachelor s or Master degree in Laws, Political Science, Human Resource Management or related fields.
• At least 5 year of experience in Law, compliance or human resource management field.
• Strong understanding in labor law is a must.
• strong analytical, organizational, administrative, and/or project management skills.
• excellent verbal and written communication and presentation skills.
• self-motivated with an entrepreneurial spirit, great work ethic, and ability to work independently to drive project/work through completion..

ทักษะ:

Power BI, Statistics, Data Analysis

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Sales, Negotiation, English

ประเภทงาน:

งานประจำ

• นำเสนอผลิตภัณฑ์อสังหาริมทรัพย์และให้คำปรึกษาแก่ลูกค้า เพื่อให้ลูกค้าทราบถึงจุดเด่นของผลิตภัณฑ์ของเอพี.
• ทำความรู้จักและทำความเข้าใจความต้องการของลูกค้าผู้เข้าชมโครงการ.
• แนะนำโปรโมชั่นสนับสนุนการขาย.
• ติดต่อหาลูกค้าเพื่อสร้างโอกาสในการรักษาความสัมพันธ์ และติดตามสถานะการตัดสินใจเพื่อทำการปิดการขาย.
• เป็นผู้ให้บริการและสานต่อกิจกรรมหลังจากทำการปิดการขาย.
• วุฒิการศึกษาระดับ ป.ตรี ขึ้นไป ไม่จำกัดสาขา.
• หากมีประสบการณ์ขายอสังหาฯ มาก่อน รับพิจารณาตั้งแต่วุฒิ ม.6 หรือปวช.เป็นต้นไป.
• บุคลิกภาพดีอย่างเซลล์มืออาชีพ รูปร่างสมส่วน.
• รักงานขาย และสามารถทำงานภายใต้ภาวะกดดันได้.
• มีความกระตือรือร้นและกระฉับกระเฉง.
• มีทักษะการขายและการนำเสนอ พูดจาดึงดูด น่าฟัง.
• มีทัศนคติดี รักในงานบริการ.
• มีไหวพริบ มีทักษะแก้ไขปัญหาเฉพาะหน้า.
• หากมีประสบการณ์งานขายอสังหาฯ จะพิจารณาเป็นพิเศษ.
• ตัองการได้รายได้ค่าคอมมิชชั่นสูง (อัตราค่าคอมมิชชั่น สูงสุด 0.35% หรือล้านละ 3,500 บาท).
• สามารถปฏิบัติงาน 6 วัน/สัปดาห์ได้ (หยุดวันธรรมดา).
• สามารถเดินทางไปประจำโครงการที่ได้รับมอบหมายได้ หากมีรถยนต์ส่วนตัวหรือสามารถย้ายที่พักได้จะพิจารณาเป็นพิเศษ.
• เปิดรับสมัคร สัมภาษณ์ ทราบผลทันที ทุกวันจันทร์ อังคาร และศุกร์.
• ตั้งแต่เวลา 09.00 - 16.00 น.
• ณ อาคารโอเชี่ยนทาวเวอร์ 1 ชั้น 19 (ใกล้ BTS อโศก).

ทักษะ:

Industrial Engineering, SAP, Procurement, English

ประเภทงาน:

งานประจำ

• Bachelor s degree in Industrial Engineering, Science, Chemistry, or other related fields.
• Minimum of 3 years of experience in inventory control or warehouse management.
• Strong communication, coordination, and follow-up skills.
• Proficiency in MS Office and SAP; good basic knowledge of English.
• Familiarity with ISO management systems.
• Knowledge of the company s products and understanding of the organization's vision..
• Monitor and verify Process Orders to ensure timely execution according to the planned Start Date.
• Participate in the annual stock counting of raw materials (RM) and the TKS warehouse.
• Develop Preventive Maintenance (PM) plans and budget forecasts for machinery and equipment.
• Coordinate and follow up on the procurement of manpower, machinery, and equipment resources.
• Monitor, verify, and analyze current work processes, consult with experts, and explore new methods to improve workflow efficiency and effectiveness.
• Ensure implementation and maintenance of 5S practices and other assigned tasks.

ทักษะ:

English

ประเภทงาน:

งานประจำ

• Prepares the compensation and benefits budget, including the regular monitoring, reporting and adjusting of the budget.
• Coordinates compensation and benefits processes like the salary planning, bonus planning, new benefits introduction, etc.
• Designs and develops compensation and benefits policies.
• Analyzes different components of the remuneration scheme in the organization and prepares reports about the internal equity and external competitiveness.
• Designs and develops different schemes of the variable remuneration.
• Closely cooperates and manages the relationship with the external compensation and benefits consultant.
• Leads and manages compensation and benefits projects for the entire organization.
• Participates as the team member in the strategic projects and initiatives.
• Desired Skills and Experience:-.
• Bachelor s degree or higher in related field.
• At least 5 years experience in compensation & benefit management, analysis would be advantageous.
• FMCG, Human Capital, and business analytics.
• Good in spoken and written English.
• Contact Information:-.
• Office of Human Capital.
• ThaiBev Quarter.
• Ratchadaphisek Rd, Khlong Toei, Bangkok 10110.

ประเภทงาน:

งานประจำ

• ปฎิบัติงานยัง บริษัท Infinitas by Krungthai
• We seek a skilled Data Scientist to enhance banking through advanced analytics and machine learning. Main responsibility will be transformed complex data into actionable insights and models for risk management, fraud detection, and customer experience optimization. Collaborate with cross-functional teams to implement data-driven strategies that improve business performance and risk management.
• Data Analysis and Modeling
• Develop predictive models for risk assessment and market analysis.
• Design machine learning algorithms for classification, regression and fraud detection.
• Create automated systems for customer behavior analysis.
• Strategic Leadership
• Identify opportunities for data-driven solutions with stakeholders.
• Present analytical findings to executive management.
• Education and Experience
• Bachelor s Degree or higher in Computer Science, Statistics, Mathematics, Engineer or related field.
• Minimum 2 years of experience in financial data science.
• Technical Skills
• Proficiency in Python, and SQL.
• Strong data analysis skills.
• Solid understanding of statistical analysis and modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
• Domain Knowledge
• Understanding financial markets and banking operations.
• Financial modeling and quantitative analysis expertise.
• Understanding basic fraud detection and anomaly detection.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

ทักษะ:

Research, Market Research, Statistics

ประเภทงาน:

งานประจำ

• Collaborate with cross-functional teams to conduct research studies to align with organizational goals.
• Design and execute qualitative and quantitative market research studies.
• Aggregate, analyze data and generate holistic insights, actionable reports, and presentations to stakeholders to support business & marketing strategic actions.
• Monitor industry trend and market movement and update the key findings to stakeholders to support business & marketing strategic actions.
• Technical Skills:.
• Strong knowledge of statistics, including hypothesis testing, and statistical modeling.
• Experience with data visualization tools like Tableau, Power BI.
• Knowledge of survey platforms like Qualtrics, SurveyMonkey, or Google Forms.
• Familiarity with web analytics tools such as Google Analytics, Adobe Analytics, or similar platforms.