12 Business Analytics jobs in Thailand

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Company Description
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok ( .
Job Description
Job Summary:
High visibility and exposure role. Responsible for leading the end-to-end FP&A process for Thailand Aesthetic business. Scopes include Business Partnering, Business Analysis & Reporting, Financial Planning activities, identifying risks/opportunities and developing mitigating actions. Potential successor to Finance Director.
Detailed description of MAIN tasks and responsibility:
Financial Planning, Analysis, & Reporting:
+ Lead the end-to-end FP&A (Management Reporting) process for Thailand Aesthetic business. Managing one team member within the FP&A team.
+ Provide analysis, recommendation, and business consultation to stakeholders.
+ Review and ensure accuracy of monthly, quarterly, and yearly closing.
+ Ensure timely and accurate submission of routine and ad-hoc reports and financial analyses to local, regional, and commercial teams.
+ Manage and ensure accuracy, reasonableness, and timeliness of all planning processes: monthly sales, quarterly financial estimates, quarterly forecast, annual budget, and long-term plans.
+ Liaise with Business Unit Directors on tracking sales and marketing performance; Manage/control all expenses, DOH, and other relevant financial and commercial KPIs.
+ Proactively identify risks and opportunities and prepare and propose appropriate plans.
+ Understand, analyze, and monitor price, price variance, and trends, to support decision making to commercial teams.
+ DSO and AR Collection monitoring.
+ Prepare and support reviews of various reports.
+ Participate and support various ad-hoc projects, as assigned.
Supply Chain Oversight (Backup to Finance Director)
+ Additional exposure and development on S&OP skillset.
+ Co-supervise demand forecast and logistics activities to ensure smoothly product flow with collaboration from various stakeholders.
+ Co-Coordinate with Regional Supply Chain/Logistics, QA, RA, Finance, and Commercial to ensure smoothly product flow.
Qualifications
Education and Experience:
+ More than 12 years experiences in financial roles, with a minimum six (6) years in financial reporting & planning experience.
+ Qualification in the field of Finance, Economic, Strategy or similar field is desired.
+ Expertise in Microsoft Excel and experience with SAP, Hyperion, Cognos, Hyperion, Longview, etc., will be essential.
+ MNC exposure preferred.
Essential Skills and Abilities:
+ Fluent in both spoken and written English, and Thai.
+ Detail oriented, and willing to be hands-on when necessary.
+ Enjoy highly challenging work that comes with satisfaction, with work direct influence on business and making impact day-to-day.
+ Comfortable working collaboratively with culturally and functionally diverse colleagues, in a fast and dynamic working environment.
+ Enjoy team development and able to provide support when necessary.
Competencies:
+ Good communication skills, able to get the message across in a clear, precise and simple manner.
+ Able to prioritize, plan, organize, and balance work, personal life, and other commitments, independently.
+ Ready to deep dive and get hands-on into various process.
+ Person who are Focus, Problem solver, detail & task oriented.
+ Strong analytical and problem-solving skills, and able to deliver under tight timelines.
+ Positive-plus and business-stewardship mindset.
Additional Information
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Use feedback and reflection to develop self awareness, personal strengths and address development areas.
Delegate to others to provide stretch opportunities, coaching them to deliver results.
Demonstrate critical thinking and the ability to bring order to unstructured problems.
Use a broad range of tools and techniques to extract insights from current industry or sector trends.
Review your work and that of others for quality, accuracy and relevance.
Know how and when to use tools available for a given situation and can explain the reasons for this choice.
Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
Use straightforward communication, in a structured way, when influencing and connecting with others.
Able to read situations and modify behavior to build quality relationships.
Uphold the firm's code of ethics and business conduct.
Education (if blank, degree and/or field of study not specified).

**Degrees/Field of Study required**: Degrees/Field of Study preferred: Certifications (if blank, certifications not specified).
Required Skills.
Optional Skills.
Desired Languages (If blank, desired languages not specified).
Travel Requirements.
Not Specified
Available for Work Visa Sponsorship.
No
Government Clearance Required.
No
Job Posting End Date.

**Job Details**

POSITION SNAPSHOT

Location: Bangkok
Company: Nestlé
Business Unit/Division: eBusiness
Full-time

A DAY IN A LIFE OF.
- Enable Nestle Thailand's Data transformation journey through robust Data Analytics by executing data intepretation and performance analysis of various, Paid and Non-paid channels such as CRM, Loyalty, Media, Website, and Online Sales data, to generate actionable consumer and business insights to drive marketing efficiencies and sales. The Consumer Data Analytics Manager is responsible in collecting data, working with different data sources to ensure the data is flowing to the database properly. Secondly, ensure data is standardized, organized, and cleansed from multiple data sources across multiple Nestle categories to support data activation in Marketing activities. Lastly, lead and manage database and data visualization agencies to deploy database enhancements, database hygiene and data cleanliness, and dashboards management.- Market Data Analysis:
- Work with Data Activation Manager to scope, design, execute, measure and improve impact of data powered marketing and sales efforts.
- Translate data insights into actions and decision that will drive revenue, brand impact, user growth, engagement and overall marketing and sales effectiveness.

NIM Harmonized Database Analysis and Activation:
- Manage Market harmonized database and multiple data sources (LINE, websites, FB lead generation, Offline, etc.)
- Develop quantitative analysis, tools, ad hoc reports, and models to support marketing decision making. Analysis areas might include areas such as retention, sentiment, lifetime value, messaging, promotions, usage, and engagement
- Design data visualization such as charts, infographic, and dashboards to communicate findings and actionable recommendations to internal stakeholders

Personalized Consumer Experiences (PCE) Activation- Help the organization strategize and deliver data driven personalization initiatives by configuring technology and data integrations.
- Stay current on the latest tools and industry developments across digital marketing analytics as well as the various digital media channels, and provide strategic recommendations when appropriate.

Paid and Non-paid Channels Performance:
- Develop, maintain and adjust forecasting models to ensure accurate prescriptive analysis and planning, and optimal investment allocation, e.g. by ensuring that the relevant formulas are implemented based on historical data, seasonality & business variables
- Analyze the online path to registration and the path to purchase (to improve conversion funnel, and to find winning combinations regarding menu/pages/section/placement/creative) in close collaboration with ecommerce agency partner
- Ensure the tracking of A/B & MV testing scenarios for subscription packages to optimize creative, CTA and conversion
- Advise on possible outcomes before sales decisions are made, by quantifying the effect of future decisions
- Provide insight and actionable recommendations to Head of eBusiness to support in business steering (e.g. to drive acquisition, traffic and sales, both online and offline)

ARE YOU A FIT?**Education**:
- Degree in quantitative field such as Statistics, Mathematics, Econometrics, Applied Analytics, Operations Research, Accounting, Business Management, Economics, or Finance
- Professional experience:
- 3-5 years of experience in analytics, metrics gathering, and reporting and related software
- 1-2 years of experience with A/B and MV testing management
- Proficiency in predictive modeling, forecasting and other statistical analyses and related software
- Proven Project Management experience with complex and multi-stakeholder projects
- Knowledge in the following areas:
- Data Visualization (Tableau, PowerBI, etc.)
- Data Management Platforms (Krux, Adobe Audience Manager, Salesforce Marketing Cloud, etc.)
- Web Analytics Tools (Google Analytics, Adobe Analytics, etc.)
- Testing Tools (Target, Maxymizer, Optimizely, etc.)
- Experience in multi-channel environment

**Job Details**

POSITION SNAPSHOT

Location: Bangkok
Company: Nestlé
Business Unit/Division: eBusiness
Full-time

A DAY IN A LIFE OF.
- Enable Nestle Thailand's Data transformation journey through robust Data Analytics by executing data intepretation and performance analysis of various, Paid and Non-paid channels such as CRM, Loyalty, Media, Website, and Online Sales data, to generate actionable consumer and business insights to drive marketing efficiencies and sales. The Consumer Data Analytics Manager is responsible in collecting data, working with different data sources to ensure the data is flowing to the database properly. Secondly, ensure data is standardized, organized, and cleansed from multiple data sources across multiple Nestle categories to support data activation in Marketing activities. Lastly, lead and manage database and data visualization agencies to deploy database enhancements, database hyg

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

**Technology Consulting - Data Analytics Engineer**

EY delivers unparalleled tech consulting services in data strategy, big data engineering, business intelligence, digital, machine learning and Artificial Intelligence. We help clients understand, architect, select and implement leading-edge solutions to drive their business. We leverage leading practices and a high degree of business acumen that has been compiled over years of experience to deliver the highest level of execution and satisfaction for our clients. Our approach is focused on analysing business needs and making sure that the solutions delivered meet our client’s goals.

**The opportunity**

Expand your horizons solving real-world challenges with complex data sets and advanced-analytics tools. Work with exceptional colleagues and clients to build analytics capabilities that break new ground, transform industries, and shape markets. You will help clients in developing tactical strategies and roadmaps for designing and building data, analytics, and AI solutions that will enable better business outcomes for clients. You will work across client business and technology stakeholders to provide strategic advice, determine solution requirements and success criteria and rationalize architecture and operating decisions. You will manage teams that will clean, transform, and aggregate data; compile and install database systems; write complex queries; scale to multiple machines; and put disaster-recovery systems in place—all with a sharp eye on what is important for the client. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.

**Your key responsibilities**

As an Data Analytics, you will be focusing on translating client’s business ambitions and objectives into detailed target states and tactical roadmaps, leading more junior team members, and working with a wide variety of clients to deliver technology consulting services. You will be the go-to resource for understanding our clients’ problems through data gathering and analysis. You will use your background in big-data problem solving to collect, analyze, and present findings and solutions.

**Skills and attributes for success**
- Translating business requirements to technical solutions leveraging strong business acumen.
- You will be a core member of the EY Microsoft Data and AI team, responsible for extracting large quantities of data from client’s IT systems, developing efficient ETL and data management processes, and building architectures for rapid ingestion and dissemination of key data.
- Extremely flexible and experience managing multiple tasks and priorities on deadlines
- Staying abreast of current business and industry trends relevant to the client's business
- Monitoring progress, managing risk, and ensuring key stakeholders are kept informed about progress and expected outcomes.
- Understanding customers’ overall data estate, IT and business priorities and success measures to design implementation architectures and solutions.
- Strong team collaboration and experience working with remote teams.
- Working on large-scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget.
- Demonstrated significant professional experience of commercial, strategy and/or research/analytics interacting with senior stakeholders to effectively communicate insights.
- Execute on building data solutions for business intelligence and assist in effectively managing and monitoring the data ecosystem of analytics, data lakes, warehouses platforms and tools
- Provide directional guidance and recommendations around data flows including data technology, data integrations, data models, and data storage formats

**To qualify for the role, you must have**
- Bachelor’s degree, or MS degree in Business, Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
- Minimum of 3+ years of relevant consulting experience with focus on advanced analytics and business intelligence or similar roles
- Communication and critical thinking are essential, must be able to listen and understand the question and develop and deliver clear insights
- Experience communicating the results of analysis to both technical and non-technical audiences
- Independent and able to manage and prioritize workload
- Ability to adapt quickly and positively to change
- Breadth of technic

KPMG Thailand's Forensic Technology Advisory professionals assist our clients by performing queries and analysis of large sets of data, employing advanced data analysis techniques to uncover anomalies and unusual patterns in the data to help our clients address concerns of potential fraud, misconducts as well as regulatory. We are looking for someone to join our team to focus on the following:
**Responsibilities**
- Participate in discussions and interface with various client's business departments to gather, define and document requirements, design and develop analysis solutions based on underlying data sources.
- Responsible for fully understanding business processes and proactively seek clarification of requirements and direction and takes responsibility when needed.
- Leverage data engineering and data science to provide analytical insights, contribute to and help deliver data cleaning/restructuring, statistical modelling, machine learning and detection rule implementation in partnership with forensic accounting and other cross-functional teams.
- Refreshing and optimizing existing analysis based on internal and external feedback.
- Think out-of-the-box to design visualization solutions that meet or exceed team expectations insights and set anomaly alerts according to monitoring rules.
- Self-starting, pro-active team player that is experienced delivering technology enabled solutions
- Support the project manager by communicating the progress and updating any issues of all assignments.
- Support internal/external knowledge sharing, practice development and to pursue opportunities in collaboration with global colleagues.
- Support other forensic team members including fraud investigation, eDiscovery and cyber incident response.

**Qualifications**
- 1-4 years of strong experience in data analysis and/or data science (4-6 years for Assistant Manager).
- Bachelor's degree or higher in advanced field of technology or other relevant majors such as statistics, computer science, financial engineering, etc.
- Proficiency in data analysis and statistical analysis tools such as SQL, R, Python and Excel.
- Proficiency in data science skills and common statistical techniques (such as regression, clustering/profiling, sampling and social network analysis).
- Experience with business intelligence systems, such as Power BI and Tableau as well as internal audit process, transaction monitoring process and/or cyber threat hunting is a plus.
- Familiarity with forensic imaging tools (EnCase, FTK, Cellebrite, Paladin, etc.) and eDiscovery tools (Intella, NUIX, Relativity, etc.) is a plus.
- Capable of working independently to solve problems under deadlines and to manage multiple projects/priorities under time constraints.
- Excellent communication skills with the ability to explain complex technical analysis to a non-technical audience.
- Ability to independently undertake moderate domestic/overseas travel with short notice.
- Proficiency in spoken and written English and Thai.
- Beneficial certificates: Data Engineer or Machine Learning Engineer.

KPMG Thailand's Forensic Technology Advisory professionals assist our clients by performing queries and analysis of large sets of data, employing advanced data analysis techniques to uncover anomalies and unusual patterns in the data to help our clients address concerns of potential fraud, misconducts as well as regulatory. We are looking for someone to join our team to focus on the following:
**Responsibilities**
- Participate in discussions and interface with various client's business departments to gather, define and document requirements, design and develop analysis solutions based on underlying data sources.
- Responsible for fully understanding business processes and proactively seek clarification of requirements and direction and takes responsibility when needed.
- Leverage data engineering and data science to provide analytical insights, contribute to and help deliver data cleaning/restructuring, statistical modelling, machine learning and detection rule implementation in partnership with forensic accounting and other cross-functional teams.
- Refreshing and optimizing existing analysis based on internal and external feedback.
- Think out-of-the-box to design visualization solutions that meet or exceed team expectations insights and set anomaly alerts according to monitoring rules.
- Self-starting, pro-active team player that is experienced delivering technology enabled solutions
- Support the project manager by communicating the progress and updating any issues of all assignments.
- Support internal/external knowledge sharing, practice development and to pursue opportunities in collaboration with global colleagues.
- Support other forensic team members including fraud investigation, eDiscovery and cyber incident response.

**Qualifications**
- 1-4 years of strong experience in data analysis and/or data science (4-6 years for Assistant Manager).
- Bachelor's degree or higher in advanced field of technology or other relevant majors such as statistics, computer science, financial engineering, etc.
- Proficiency in data analysis and statistical analysis tools such as SQL, R, Python and Excel.
- Proficiency in data science skills and common statistical techniques (such as regression, clustering/profiling, sampling and social network analysis).
- Experience with business intelligence systems, such as Power BI and Tableau as well as internal audit process, transaction monitoring process and/or cyber threat hunting is a plus.
- Familiarity with forensic imaging tools (EnCase, FTK, Cellebrite, Paladin, etc.) and eDiscovery tools (Intella, NUIX, Relativity, etc.) is a plus.
- Capable of working independently to solve problems under deadlines and to manage multiple projects/priorities under time constraints.
- Excellent communication skills with the ability to explain complex technical analysis to a non-technical audience.
- Ability to independently undertake moderate domestic/overseas travel with short notice.
- Proficiency in spoken and written English and Thai.
- Beneficial certificates: Data Engineer or Machine Learning Engineer.

Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
-5+ years of experience with direct customer (internal or external) interaction with responsibilities in AI / ML / GenAI solutions design, architecture and implementation (AmazonQ, Bedrock, Sagemaker as a Product and Data Governance including Data quality and controls, etc.
-A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.
-Ability to think strategically about business, solutions and technical challenges.
Preferred Qualifications
-5+ years Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI
-Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.
-AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.
-Ability to understand and educate customers on cloud computing technologies and workload transition challenges.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

JOB TITLE: Data Analytics & Tech Manager - Ice Cream

LOCATION: Thailand

BUSINESS CONTEXT

Customer development is a core thrust of Unilever. The customer development team is broadly split into General Trade and Modern Trade. OOH IC General Trade contributes to 70% of Ice Cream sales nationally. Winning in General trade is crucial in sustaining top line and in ensuring competitiveness through growing market share nationally. This role is part of Ice Cream Business Strategy Development team. This role will be key in driving a data driven sales organization. As part of this role, you will proactively look to identify opportunities for growth, lead a development of D&A products and drive a change management program across stakeholders.

EXPECTED WORK:

- Define and develop Data Strategy for TH OOH CD. Prioritising efforts, and activities on the most impactful business forecasts.
- Lead a development of data tools, dashboard as per business requirement and prioritization.
- Review all current data sources, systems and customer experience touchpoints and make recommendations.
- Be an expert on all local data systems and their associated capabilities to ensure the right data platform to be developed. Support in the deployment of salesforce where required.
- Be an expert in how other systems connect and how data is integrated and transformed to form a true E2E Solution
- Advise and support on enhancement and enrichment of current data sets to deliver insights.
- Manage direct costs in line with budget agreements and establish appropriate control.
- Actively work with key stakeholders on the roll out of new tech, training and setting KPI’s
- Be a single point of contact (SPOC) for reporting, business cases and decision making.
- Partner with Global, IT, D&A and R&D teams to accelerate each workstream / capability and share the roadmaps and status regularly with their network.
- Own the relationship / comms back into global teams in terms of status updates and measures of success.
- Ensure all development and data collection, processes and transfers are legally compliant.
- Providing training and internal change management where required.

QUALIFICATIONS AND EXPERIENCE:

- 5 to 7 years’ experience in Data & Analytics and/or Technical Solution development.
- Robust Project Management skills preferably an experience as Project Manager/PMO is required.
- An effective leader able to clearly explain solutions and benefits and create the right buy-in and influence across a large number of stakeholders.
- Excellent understanding of software development lifecycle, data & analytic, data ingestion and visualization.
- Commercially driven with a clear focus on data and insights
- Strong analytical skills (extra points for SQL / Python knowledge)
- Fully proficient and confident in Excel and excellent attention to detail and takes pride in accuracy, even when working under pressure.
- An open-minded person who enjoys working in an international multi-cultural environment and embracing challenges