17 Data Mining jobs in Thailand

**Make an impact with NTT DATA**
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**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

The Head of Data Analytics & Digital platform is necessary due to the project of Data Analytics, Data digital platform, Customer strategies, Data-driven for business solutions, and Data projects in the Digital Application platform. This is the perfect role for an innovative Data Analytics, Data lead management, Data Scientist, and Data project manager for business solutions. You can take ownership of tech innovation and step up your career growth.

**Responsibilities**:

- Leading & designing, technical data processes in business insights, developing analytics models, and performing business impacts.
- Building, developing and maintaining data models, data automation systems, Business intelligence dashboard reports, and performance key business decisions.
- Performing root cause analysis to identify business issues and formulate solutions.
- Managing the advanced data modeling analysis techniques insights, and optimization opportunities.
- Organizing and driving successful completion of data analytics initiatives and effective collaboration with stakeholders.
- Overseeing the data requests process: tracking requests submitted, prioritization, approval, etc.
- Acting as a thought partner and mentor for team members to develop their knowledge and skills on analytic tools & techniques.
- Overseeing the mapping and project management pipeline, and analytics implementation to meet the goal.
- Coordinating and collaborating with solution delivery teams, partners, stakeholders, and clients at the executive level.

**Requirements**:

- At least 7-10 years of experience working in Head of Data management, Data analytics management, Business Data-Driven, or Data platform manager related field.
- Experience in end-to-end managing the project Head of Data management, Data Business consultant.
- Solid knowledge of Data Scientists, Data business models, Business Intelligence, Business consultants, and solutions.
- Excellence in communication and coordination of the project with a global team in English.
- Strong business, communication, and coordination skills with a leadership mindset.
- Passionate technologist, keen to keep pace with the latest technologies and continuously refine your skills.

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.

**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

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.

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.