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Experience:

5 years required

Skills:

Problem Solving, Excel, English

Job type:

Full-time

• Lead and supervise customer service team to provide the after-sale service and handle customer complaints and provide solutions in order to meetcustomer's satisfaction which determine potential business opportunities to achieve targeted growth.
• Handle difficult& special calls and solve other issues escalated by agents& follow up with various departments on problem solving or information sharing ifneeded.
• Monitor team performance, achieve customer service targets.
• Manage, Advise, Coaching and communicate with the customer service team to ensure high performance and take timely action to drive the continuouscustomer service satisfaction improvement.
• Manage a team of customer service i.e. Make sure the day-to-day operations run smoothly.
• Incoming cases and calls monitoring and job assignment including calls and email.
• Talk to agents regularly, find out potential people issues, solve or escalated accordingly.
• Fulfill all other work assigned by the manager.
• Liaising with the Customer Service Manager to help develop action plans for the call centre team.
• Must HaveGraduated degree in marketing, business administration,economics or related fields.
• Minimum 5 years in Customer Service with at least 2 years in managerial level, Call Centre and other related fields.
• Nice to HaveGood presentation and motivation skills.
• Influencing and negotiating skills.
• Good communications skills both written and spoken Thai and English.
• Excellent customer service mind and Self-motivated.
• The Knowledge of insurance operations and processes will be the advantage.
• Good computer knowledge and skills including Microsoft word/ excel, and database management.
• Familiar with Data Analytics.

Experience:

2 years required

Skills:

Problem Solving, English

Job type:

Full-time

• Answer incoming calls and provide information to all customer requests at the first call solution (excluding policy cancellation request of direct marketing customers that transfer to retention team for further convincing).
• Carry out assignments and handle problems in accordance with call patterns, instructions, policies, procedures and / or accepted practices to ensure optimum level of Quality.
• Support customers to handle and eliminate day-to-day issues with enquiries.
• 2) Quality ManagementBe responsible for delivery our service offers with excellent service as well as handling the complex or difficult cases.
• Skill sets and the customer satisfaction measured by Bottom Up and Top Down NPS.
• Communicate professionally at all time with customers, other team and other department to ensure consistently effective working relationships.
• Contribute or be involved in Contact Centre process and procedural analysis or projects as and when required.
• 3) Business Acumen and multiple programs / systemsProcess and record new transactions.
• For those with non-call resolution, will escalate the case in the tracking service request - Footprints program to Functional Unit.
• Must HaveBachelor's degree in any fields.
• Minimum 2 years' experience in insurance operations, customer services, call center or other related field.
• Nice to HaveInsurance product knowledge.
• Customer service managerial skill.
• Problem solving& decision making.
• Collaboration& Data protection are required.
• Able to communicate in English is plus.

Experience:

8 years required

Skills:

Sales, Financial Analysis, Python

Job type:

Full-time

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
• Experience with programming languages such as Python or R for data analysis and modeling.
• Master's degree in Statistics, Econometrics, Data Science, Mathematics, or a related quantitative field.
• Experience with various MMM techniques (e.g. Bayesian MMM, time series regression, Machine learning).
• Experience in developing and implementing MMMs in a business environment, with understanding of statistical modeling techniques, including regression analysis, time series analysis, and causal inference.
• Understanding of the digital advertising and measurement ecosystem (e.g. attribution, experiments, data clean rooms, server-side API).
• Excellent communication skills, with the ability to present complex information to senior and C-level stakeholders.
• Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google's key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.
• As a Marketing Mix Modeling (MMM) Specialist at Google, you will play a pivotal role in empowering our clients to optimize their marketing investments through advanced statistical modeling and data-driven insights. You will be a trusted advisor, guiding clients through complex MMM analyses, translating technical findings into business strategies, and influencing executive-level decision-making. You will be responsible for driving the adoption of measurement methodologies and fostering a culture of data-driven marketing within Google and our client ecosystem.
• Our Large Customer Sales teams partner closely with many of the world s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We're uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google's broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.
• Lead Marketing Mix Modeling (MMM) Modeling and Analysis by consulting on MMM models using Python, R, or other statistical tools. Conduct analysis of marketing data to identify key drivers of performance and provide recommendations. Guide customers through modelling discussions, explaining statistical concepts to both technical and non-technical audiences.
• Serve as a consultant to clients, advising on measurement strategies and best practices. Build and maintain relationships with key stakeholders, including marketing executives and agency partners.
• Collaborate with sales, product, and customers teams to drive momentum on MMM conversations and unblock where needed. Partner with cross-functional teams to develop and implement new measurement methodologies and tools.
• Identify opportunities to improve Google's MMM capabilities and drive innovation in the field. Advocate for the adoption of advanced measurement techniques within the industry.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.