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Skills:

Compliance

Job type:

Full-time

• FB: Krungsri Career.
• LINE: Krungsri Career.
• LinkedIn: Krungsri.
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.

Skills:

Procurement

Job type:

Full-time

• Build and maintain strong networking and C-suite engagement with key players & Sales personas across broad base of client targets.
• Confidence & credibility to talk to a wide range of decision influencers.
• Demonstrate the highest commitment to sales force penetration and retention.
• Demonstrable knowledge of the CPG and Retail industry, understanding how trade and business needs are changing and how Nielsen s IQ solutions can help solve client business issues.
• Responsible for developing case studies & client testimonials. Present at client/ Retailer events, external industry events.
• Full understanding of Nielsen s IQ portfolio and interconnectedness of different solutions.
• Understanding Client Needs.
• Has a deep understanding of customer business around (pricing, assortment, distribution and execution) and can reframe and challenge the way customers view their businesses.
• Clearly understands the needs of different personas at the client end - Sales, Commercial Directors, Revenue Management, Category Management and Retailers and how a particular solution can deliver outcomes.
• Available during final presentation of results to ensure client satisfaction, actionable recommendations and additional opportunity detection.
• Sales Management.
• Deployment of necessary solutions around personas as part of sales planning process.
• Able to drive team towards sales targets, visibility of all opportunities and risk, ensures the team has tight pipeline and proposal tracking systems.
• Comfortable negotiating with senior clients and knows what levers to use. Clearly links the value of Nielsen's IQ SEFF products and solutions with the price to overcome objections. Pre-empts stakeholder objections and pushes the client to a favorable outcome.
• Planning and Forecasting.
• Owns the business plan: financial target/proposal submission/revenue on hand/pipeline for its group of clients/solutions.
• Takes overall accountability for business planning and implementation. Tracks the financial performance of clients.
• Sound understanding of profitability and EBITDA and how this relates to all proposals and sales.
• Knows how Nielsen s IQ and competitor offerings are priced and is aware of the client budgets.
• Team Management and Collaboration.
• Relentless curiosity to learn from & share with Analytics peers from APAC markets and beyond.
• Team Management if required (including day-today management, check-ins, one to ones, year-end admin. Etc.) Coaching and training of others on the team).
• Works continuously with CBPs, Commercial Leaders, PL, Delivery COE team & other Analytics APAC leaders to ensure that leads and opportunities are picked up, pertinent information about clients is shared and the relevant people are consulted and/or informed of key activity on an account.
• Qualifications Solution led commercial leader with strong expertise in merchandising and space planning.
• 10+ years of experience across merchandising, space planning, and retail analytics.
• Proven success in solution selling, including closing large, strategic enterprise deals.
• Demonstrated experience selling complex, configurable platforms and digital solutions.
• Track record of leading end to end sales cycles, from discovery and needs assessment through to deal closure.
• Strong capability in navigating and managing multi stakeholder client environments (IT, Business, Procurement, Senior Leadership).
• Experience driving high value upsells, large ticket deals, and multi country RFPs.
• Deep exposure to merchandising and space planning tools and technologies.
• Additional Information
• Our Benefits.
• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee-Assistance-Program (EAP).
• NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.
• 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?.
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• Our commitment to Diversity, Equity, and Inclusion.
• At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion.

Skills:

Research, Big Data, Full Stack, English

Job type:

Full-time

• Develop customer and business insights to identify business opportunities or resolve business challenges, and provide actionable recommendations to guide business decisions.
• Prepare data from different data sets for building analytical models and delivering customer insights and recommendations to guide business decisions.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Deliver pre and post campaign analysis to guide the design and optimization of analytical models and personalized marketing campaigns.
• Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies.
• Work with engineers to implement end-to-end process from model development to testing, validation, deployment, and lifecycle support.
• Research and Development on novel data science and analytics tools and ML/AI technology.
• Background/ Experiences.
• 3+ years of Experience working with customer-centric data at big data-scale and applying machine learning, optimization and statistical methods to large datasets in various industries: financial services, telecom, retails, insurance, e-commerce, or related industries.
• Strong statistical knowledge, superior analytical abilities, and good knowledge of business intelligence solutions.
• Full stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - MLOps.
• Experience in being able to translate business needs into executable data science and analytics solutions.
• Proven track record in client engagement, relationship building, and project management is PLUS.
• Knowledge & Skills.
• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering).
• Deep understanding of mathematics and statistical modeling, predictive modeling, and machine-learning algorithms with hands-on experience with Machine Learning frameworks.
• Excellent Proficiency in programing languages (SQL, R, Python) and Experience with business intelligence solutions (Tableau, PowerBI or Advanced Excel).
• Hand-on experience in data engineering, working with big data technology (Spark/Hadoop) and cloud platforms such as Azure, AWS, or GCP.
• Excellent verbal, written, and interpersonal communication skills (both Thai and English).

Skills:

Statistics, Excel, SQL, English

Job type:

Full-time

• Be the partner with PTG s business teams, understand their data needs, and build plans to address those with intelligent data on time.
• To tell a story and provide insights to the users enabled to make better decision by delivering data solution.
• Use statistical tools to identify, analyze, and interpret patterns, trends and insights in complex data sets that could be helpful for the diagnosis and prediction to support PTG s business.
• Responsible for planning and providing final analysis report for PTG s business to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Encourage and collaborate with multiple internal stakeholders to use statistical / analytical tools in planning and decision-making process.
• Bachelor s degree in computer science, data analytics, statistics, economics or related fields.
• Proficient in data analytics tools and other computer programs; MS Word, Excel, PowerPoint etc.
• Excellent communication skill both in Thai and English.
• Experience in programming and SQL.
• Able to work under pressure and with multiple stakeholders within limited timeline.
• Interested in new technologies / innovations.
• Master's degree in a quantitative discipline.
• At least 1-2 years of experience in a similar role preferably with solid knowledge in food & beverage industry, CRM and retail business.
• Experience working on teams that managed large scale data projects.
• Knowledge with Data Science, Advanced Analytics, Machine learning tools, and methodologies.
• Conceptual, logical and physical data modeling, and data architecture knowledge.
• Visualization expertise in tools like Tableau and Power BI etc..
• PTG Energy Public Company Limited.
• 90 CW Tower, Tower A, 33rd Floor, Ratchadaphisek Road,.
• Huaykwang, Bangkok 10310.
• www.ptgenergy.co.th.

Skills:

Research, Big Data, Full Stack, English

Job type:

Full-time

• Develop customer and business insights to identify business opportunities or resolve business challenges, and provide actionable recommendations to guide business decisions.
• Prepare data from different data sets for building analytical models and delivering customer insights and recommendations to guide business decisions.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Deliver pre and post campaign analysis to guide the design and optimization of analytical models and personalized marketing campaigns.
• Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies.
• Work with engineers to implement end-to-end process from model development to testing, validation, deployment, and lifecycle support.
• Research and Development on novel data science and analytics tools and ML/AI technology.
• Background/ Experiences.
• 3+ years of Experience working with customer-centric data at big data-scale and applying machine learning, optimization and statistical methods to large datasets in various industries: financial services, telecom, retails, insurance, e-commerce, or related industries.
• Strong statistical knowledge, superior analytical abilities, and good knowledge of business intelligence solutions.
• Full stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - MLOps.
• Experience in being able to translate business needs into executable data science and analytics solutions.
• Proven track record in client engagement, relationship building, and project management is PLUS.
• Knowledge & Skills.
• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering).
• Deep understanding of mathematics and statistical modeling, predictive modeling, and machine-learning algorithms with hands-on experience with Machine Learning frameworks.
• Excellent Proficiency in programing languages (SQL, R, Python) and Experience with business intelligence solutions (Tableau, PowerBI or Advanced Excel).
• Hand-on experience in data engineering, working with big data technology (Spark/Hadoop) and cloud platforms such as Azure, AWS, or GCP.
• Excellent verbal, written, and interpersonal communication skills (both Thai and English).

Skills:

Compliance, Python, node.js

Job type:

Full-time

• Design, develop, and integrate AI/ML models into scalable production applications.
• Build and maintain applications, APIs, and pipelines that support AI models.
• Write clean, maintainable, AI-first code and participate in code & model reviews.
• Optimize AI solutions for latency, reliability, scalability, and performance.
• Ensure production AI systems meet quality, availability, and compliance standards.
• Stay updated on AI/ML frameworks and best practices, suggesting improvements to systems and processes.
• Qualifications Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or related field.
• Strong programming skills in Python, Node.js, or similar languages.
• Experience building AI applications, APIs, and integrating AI/ML models into scalable systems.
• Experience with AI/ML frameworks, LLM frameworks, and model serving tools.
• Understanding of system performance optimization, scalability, and reliability.
• Contact: Wirakarn (Mudmee) Email: [email protected]

Experience:

3 years required

Skills:

Problem Solving, Excel, SQL, English

Job type:

Full-time

• Work on a big scale project to come up with high level business strategy.
• Define KPI and top-line target for key business metrics for commercial team to followed.
• Face high business challenges to utilize and improve problem solving skill with high learning curves.
• Job Description: Strategically design scheme and improve monthly KPI to drive the organization to reach the target.
• Analyze complex data to find valuable insights in order to drive business performance.
• Demonstrate leadership to guide the overall project requirements in initiation, planning, execution, monitoring, evaluation, and closure.
• Organize and optimize project resources (budget, timeline, workforce).
• Coordinate with internal teams and external partners to solve errors.
• Requirements: Minimum Bachelor's degree in management, business or any related field.
• Minimum 3 years of work experience in related fields.
• Strong Excel skill is required.
• Basic SQL skill is required.
• Good communication and presentation skills, both speaking and written in Thai and English.
• Strong analytical skill and able to make judgement based on logical reasons.
• Good team players and leadership skills with growth mindset.
• Demonstrated ability to learn fast, handle multiple tasks, to prioritize those tasks and meet deadlines.
• Flexible in working hours (issues that require attention can occur outside normal working hours).

Experience:

2 years required

Skills:

SQL, English

Job type:

Full-time

• Manage marketing campaign initiatives including mechanics planning, budget optimization, user segment breakdown, testing and performance analysis.
• Provide details plans for marketing campaigns or testing initiatives, aligning them with the overall business objectives.
• Regularly review and analyze key commercial/marketing metrics to provide insights that guide decision-making for campaign improvement.
• Conduct data-driven analysis to serve current business direction for ShopeePay, SeaMoney and related businesses.
• Design analysis framework, extract relevant data, run in-depth analysis, and deliver findings using suitable visualization and reporting tools to communicate and collaborate with related stakeholders.
• Provide actionable insights and recommendations that will be used to support or devise new marketing strategies.
• Support other special projects as requested.
• Requirements: Bachelor or Master s degree in Marketing, Business, Economics, Data Analytics, or related field of study.
• At least 1 - 2 years of work experiences in areas of marketing analytics, business analytics, data analytics, strategy consulting, e-commerce or tech industries.
• Strong technical skills with experience in SQL is a must.
• Intermediate MS Excel and Google Sheet skills, capable of utilizing different formulas and features to drive desired result.
• Strong analytical and logical reasoning skills.
• Excellent communication skills in both written and verbal format in Thai and English.
• Reliable and good team player who enjoys a fast-paced and iterative environment.

Experience:

3 years required

Skills:

SEO, Finance, Statistics

Job type:

Full-time

• Support annual, monthly, weekly, and daily E-commerce planning across key KPIs including Revenue, Net Sales, Units, Orders, Traffic, Conversion, Markdowns, Returns, and Cancellations.
• Build and maintain forecasting models using historical trends, commercial assumptions, and campaign planning.
• Support monthly rolling forecasts, latest estimates, and landing calculations with clear visibility on risks and opportunities.
• Drive forecasting discipline through structured assumption tracking and variance analysis.
• PERFORMANCE TRACKING & ANALYSIS.
• Track weekly and daily performance versus plan and highlight risks to monthly landing.
• Conduct deep-dive analysis across traffic, conversion, assortment, promotional mechanics, and operational metrics.
• Prepare performance insights to support weekly trading discussions and monthly business reviews.
• MARKETPLACE & TRADING ALIGNMENT.
• Work closely with Marketplace teams that execute day-to-day platform operations.
• Ensure marketplace performance is accurately reflected in plans, forecasts, and reporting.
• Support alignment of promotional phasing and campaign performance tracking.
• CROSS-FUNCTIONAL COLLABORATION.
• Partner closely with Buying and Merchandising teams on product performance and commercial assumptions.
• Work with Media and Digital teams to embed traffic and conversion assumptions across paid, organic, SEO, direct, and CRM channels.
• Collaborate with Finance on monthly landing updates and performance reporting.
• Work with EM Hub teams across Analytics, Data Solutions, and Operations to ensure data accuracy and execution alignment.
• WHAT SUCCESS LOOKS LIKE.
• Accurate and reliable monthly forecast landings.
• Strong discipline in planning assumptions and forecasting models.
• Clear and proactive communication of risks and opportunities.
• High quality performance analysis supporting commercial decisions.
• On-time delivery of plans, forecasts, and performance updates.
• WHO YOU ARE.
• Bachelor s degree in Business, Economics, Statistics, Mathematics, Engineering, or a related quantitative discipline.
• Minimum 3 years of experience in E-commerce, commercial planning, forecasting, analytics, retail, or marketplace environments.
• Strong understanding of E-commerce and commercial KPIs.
• Advanced Microsoft Excel skills (mandatory) for modelling, forecasting, and deep-dive analysis.
• Strong working knowledge of PowerPoint for communicating insights and recommendations.
• Exposure to Power BI, SQL, Databricks, or dashboarding tools is a plus.
• Strong analytical thinking and problem-solving mindset.
• High ownership, integrity, and attention to detail.
• Comfortable working in fast-paced, multi-stakeholder environments.
• REPORTING & SETUP.
• REPORTS TO.
• Planning leadership, E-commerce Leads, Finance, Marketplace teams, Buying & Merchandising, Media, Analytics, Data Science, Digital Operations, EM Hub, & cluster market teams. No direct reports. WHY THIS ROLE.
• This role is ideal for someone who enjoys working deeply with numbers, building forecasting models, and translating data into clear commercial insights. You will work at the intersection of planning, analytics, and commercial execution across Southeast Asia and Pacific markets. As part of adidas - a globally iconic sports brand - this role offers strong exposure to regional E-commerce operations and a clear pathway toward future planning, analytics, and commercial leadership opportunities.AT ADIDAS WE HAVE A WINNING CULTURE. BUT TO WIN, PHYSICAL POWER IS NOT ENOUGH. JUST LIKE ATHLETES OUR EMPLOYEES NEED MENTAL STRENGTH IN THEIR GAME. WE FOSTER THE ATHLETE S MINDSET THROUGH A SET OF BEHAVIORS THAT WE WANT TO ENABLE AND DEVELOP IN OUR PEOPLE AND THAT ARE AT THE CORE OF OUR UNIQUE COMPANY CULTURE: THIS IS HOW WE WIN WHILE PLAYING FAIR.
• COURAGE: Speak up when you see an opportunity; step up when you see a need.
• OWNERSHIP: Pick up the ball. Be proactive, take responsibility and follow-through.
• INNOVATION: Elevate to win. Be curious, test and learn new and better ways of doing things.
• TEAMPLAY: Win together. Work collaboratively and cultivate a shared mindset.
• INTEGRITY: Play by the rules. Hold yourself and others accountable to our company s standards.
• RESPECT: Value all players. Display empathy, be inclusive and show dignity to all.
• AT ADIDAS, WE STRONGLY BELIEVE THAT EMBEDDING DIVERSITY, EQUITY, AND INCLUSION (DEI) INTO OUR CULTURE AND TALENT PROCESSES GIVES OUR EMPLOYEES A SENSE OF BELONGING AND OUR BRAND A REAL COMPETITIVE ADVANTAGE.
• CULTURE STARTS WITH PEOPLE, IT STARTS WITH YOU -
• BY RECRUITING TALENT AND DEVELOPING OUR PEOPLE TO REFLECT THE RICH DIVERSITY OF OUR CONSUMERS AND COMMUNITIES, WE FOSTER A CULTURE OF INCLUSION THAT ENGAGES OUR EMPLOYEES AND AUTHENTICALLY CONNECTS OUR BRAND WITH OUR CONSUMERS.
• JOB TITLE: Senior Specialist, E-Commerce Planning Forecasting & Analytics BRAND: LOCATION: Bangkok TEAM: Data STATE: COUNTRY/REGION: TH CONTRACT TYPE: Full time NUMBER: 542276 DATE: Apr 15, 2026

Skills:

Analytical Thinking

Job type:

Full-time

• Process and analyze energy usage data to develop comprehensive market insights and supplier evaluations.
• Create strategic energy supply and demand recommendations that maximize client savings and market opportunities.
• Design and implement statistical models using advanced coding and analytical tools to uncover patterns in complex data.
• Extract valuable information from both structured and unstructured data sources using cutting-edge techniques.
• Deliver clear, actionable recommendations based on thorough analysis to drive client decision-making.
• Proven track record in data analytics and statistical modeling within the energy sector.
• Strong programming skills and proficiency with state-of-the-art analytical tools.
• Ability to translate complex data patterns into meaningful business insights.
• Excellence in client communication and presentation of technical findings.
• Demonstrated expertise in managing multiple data sources and validation processes.
• Opportunity to work with industry-leading analytical tools and technologies.
• Exposure to diverse energy markets and complex business challenges.
• Professional growth through continuous learning and skill development.
• Collaborative environment fostering innovation and analytical thinking.
• Direct impact on client success through data-driven solutions.
• Let us learn about you! Apply today.
• Looking to make an IMPACT with your career?.
• When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.
• IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
• We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
• Become an IMPACT Maker with Schneider Electric - apply today!.
• 36 billion global revenue
• 13% organic growth
• 150 000+ employees in 100+ countries
• 1 on the Global 100 World s most sustainable corporations.
• You must submit an online application to be considered for any position with us. This position will be posted until filled.
• Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
• Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.