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Experience:

3 years required

Skills:

Python, SQL, Analytical Thinking, English

Job type:

Full-time

• English as working language.
• Minimum of 3 years data analytics related working experiences.
• At least 1 year of working experience directly communicate to business team.
• Proficient in Python or SQL.
• Advanced hands on experiences with visualization tool.
• Strong communication and analytical thinking skills.
• Good balance of data and business knowledge.
• Fintech or banking industry.
• Internet companies with mobile application.
• Contact: [email protected].
• 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. ".

Skills:

Payroll, Labor law, Finance

Job type:

Full-time

• Prepare and process monthly payroll for all staff, including permanent, AEC, and temporary employees.
• Verify attendance, OT, leave records, and payroll adjustments in line with company policies and labor law requirements.
• Coordinate with finance and accounting for salary disbursements, statutory payments (SSO, provident fund, etc.), and year-end tax submissions (PND.1, PND.91).
• Maintain confidentiality and security of payroll data at all times.
• Handle payroll inquiries from employees and resolve discrepancies in a timely manner.
• Payroll Data Analysis & Reporting (30%).
• Analyze payroll trends, such as OT costs, headcount costs, and turnover-related payroll impacts.
• Provide regular and ad hoc reports to management (e.g., cost center reports, headcount budget vs. actual, overtime trend analysis).
• Collaborate with HRBP and Operations to provide insights that support manpower planning and cost control initiatives.
• Support HR projects such as cost-saving initiatives, audit reviews, or workforce optimization with relevant data.
• System & Process Improvement (10%).
• Maintain and enhance payroll data accuracy in HRIS/payroll systems.
• Collaborate with IT and system vendors (e.g., Prosoft) to improve payroll system functionality.
• Develop tools or templates to automate manual payroll tasks and reduce errors.
• Support digital transformation and HR analytics initiatives.
• Bachelor s degree in HR, Accounting, Finance, Business Administration, or related field.
• 3-5 years of payroll experience in a medium to large organization; experience with AEC workers and warehouse operations is a plus.
• Strong Excel and data analysis skills (e.g., pivot tables, v-lookups, basic formulas); Power BI knowledge is an advantage.
• Experience with HRIS/payroll systems (e.g., Prosoft, SAP, Workday) is preferred.
• Good understanding of Thai labor law, taxation, and statutory contributions.
• High attention to detail and accuracy.
• Analytical and problem-solving mindset.
• Ability to meet tight deadlines under pressure.
• Strong confidentiality and data integrity ethics.
• Collaborative and proactive communicator.

Skills:

Finance, Statistics, Python

Job type:

Full-time

• เก็บรวบรวมและวิเคราะห์ข้อมูลที่ส่งผลกระทบต่อองค์กร จากหลายแหล่ง ทั้งภายในและภายนอก ทั้งในด้าน Finance & Non Finance รวมถึง เหตุการณ์ที่เกิดขึ้นอันอาจจะกระทบความเป็นอยู่ของพนักงาน.
• วิเคราะห์พฤติกรรม/เหตุการณ์ และคาดการณ์โอกาสหรือผลอันอาจจะกระทบต่อบริษัทและพนักงาน.
• ออกแบบและทำการทดสอบวิธีใช้งานข้อมูลและเทคนิคการวิเคราะห์ใหม่ๆ เพื่อนำเสนอมุมมองทางธุรกิจใหม่ๆให้แก่ผู้ที่เกี่ยวข้อง.
• การจัดทำรายงานและ Dashboard.
• จัดทำรายงานสรุปข้อมูลที่เข้าใจง่าย และสร้าง Dashboard ให้ผู้บริหาร.
• นำเสนอผลการวิเคราะห์เพื่อประกอบการตัดสินใจเชิงกลยุทธ์.
• สนับสนุนการทำงานของทีมงานในด้านข้อมูล.
• การสร้าง ดูแล และ อัปเดตฐานข้อมูล และการประมวลผลข้อมูลขนาดใหญ่.
• พัฒนาและใช้งานระบบอัตโนมัติ ในการทำงานกับฐานข้อมูล.
• งานอื่นๆที่เกี่ยวข้องเพื่อสนับสนุนการทำงานของทีมวิเคราะห์ข้อมูล.
• ปริญญาตรีด้าน Mathematics, Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์อย่างน้อย 2-5 ปีในด้าน Data Analytics หรือ Data Science.
• มีประสบการณ์ด้าน Data Visualization และสามารถนำเสนอข้อมูลได้อย่างมีประสิทธิภาพ ผ่านเครื่องมือที่เหมาะสม.
• มีทักษะการเขียนโปรแกรม เช่น Python, SQL และเครื่องมือ BI เช่น Power BI หรือใกล้เคียง.
• มีประสบการณ์และความเข้าใจในการใช้เทคนิค Machine Learning พื้นฐาน (เช่น Data Clustering, Time series analysis ) ในการวิเคราะห์ข้อมูลที่มีความซับซ้อนหรือข้อมูลขนาดใหญ่.
• หากมีประสบการณ์กับ Cloud Platform (เช่น AWS, GCP, Azure) จะพิจารณาเป็นพิเศษ.
• Contact Information:-.
• K. Sawarin Tel.
• Office of Human Capital.
• TSPACE DIGITAL COMPANY.
• ThaiBev Quarter.

Job type:

Full-time

• The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science. GBS is a dynamic, entrepreneurial, and ambitious client group, and our HRBPs who support them are too! We are excited to continue adding to our Human Resources team to attract, engage, and retain top talent to drive the continued growth of the organization. You will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limit ...
• Minimum Qualifications-Bachelor degree or above, graduate degree is preferred, math, statistics, computer-related majors are preferred, strong capability of data analytics is required;-experience in research and analysis positions in consulting, e-commerce/ads is preferred. Preferred Qualifications-Outstanding reasoning capability and logic, with good problem solving methodologies, being able to independently output quality strategic solutions, strong learning and adaptive ability, strategic framework thinking, sensitivity and insight into the business;-Have some strategic thinking capacity, able to quickly understand the business and discover the connection between business and data performance;-Proficiency in SQL for data analysis, understanding of common statistical and analytical methods, and skills in BI visualization tools such as Tableau/Power BI is a plus;-Fast learner, passionate about participating in business, and able to adapt to high intensity and fast growth work environment.By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.If you have any questions, please reach out to us at [email protected].

Skills:

Compliance, AutoCAD

Job type:

Full-time

• Assist in the design and development of mechanical systems including HVAC, Fire protection, and Hydraulic systems tailored for data center needs.
• Help plan and manage maintenance activities for mechanical systems, ensuring adherence to industry standards and operational efficiency.
• Maintain accurate records of mechanical system designs, maintenance activities, and compliance with safety regulations.
• Participate in site inspections to assess mechanical systems' condition and ensure compliance with design specifications.
• Assist in coordinating with third-party vendors for maintenance and upgrades, ensuring that all work meets established standards.
• Be available to respond to on-site incidents and assist senior engineers in troubleshooting mechanical failures.
• Engage in ongoing training and professional development opportunities to stay updated on the latest technologies in the data center industry.
• Bachelor s degree in mechanical engineering or a related field is required.
• At least 4 years of experience in mechanical engineering, preferably within a data center or critical environment.
• Basic understanding of HVAC systems, mechanical design principles, and relevant software tools (e.g., AutoCAD).
• Strong problem-solving abilities to identify issues and propose effective solutions.
• Good verbal and written communication skills for effective collaboration with team members and vendors.
• Ability to work well within a team environment while also being capable of taking initiative when necessary.
• Be able to travel to the provincial area.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

Skills:

Big Data, Hive, SAS

Job type:

Full-time

• Experience migrating from on-premise data stores to cloud solutions.
• Knowledge of system design and platform thinking to build sustainable solution.
• Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
• Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
• Experience with agile software delivery and CI/CD processes.
• Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
• At least 3 years of experience in data analysis and modeling.
• Proficiency in Python, and SQL.
• Experience with data visualization tools such as Tableau, Grafana or similar.
• Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
• Strong problem-solving skills and the ability to work independently as well as collaboratively.
• Growth Potential: This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
• Contact: [email protected].
• 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.".

Skills:

Compliance, AutoCAD, Revit

Job type:

Full-time

• Support the design and implementation of electrical distribution systems, including high voltage (HV), low voltage (LV) and DCIM or ECMS systems tailored for data center applications.
• Help coordinate and execute maintenance activities for electrical systems, ensuring compliance with industry standards and operational efficiency.
• Assist in diagnosing electrical issues and implementing solutions to minimize downtime and ensure continuous operation of critical systems.
• Maintain accurate records of electrical system configurations, maintenance schedules, and compliance with safety regulations.
• Work with third-party vendors and contractors to ensure that their work meets established standards and contractual obligations.
• Participate in emergency response efforts, providing support during incidents to restore normal operations as quickly as possible.
• Engage in ongoing training to stay updated on the latest technologies and best practices in electrical engineering within data centers.
• Job Qualifications.
• Bachelor s degree in electrical engineering or a related field is required.
• 3-4 years of experience in electrical engineering, preferably within a data center or similar critical environment. Internships or co-op experiences are beneficial.
• Basic knowledge of electrical systems, including transformers, switchgear, UPS systems, generators, DDC, PLC and relevant software tools (e.g., AutoCAD, Revit, ETAP).
• Familiarity with electrical safety protocols is essential.
• Strong problem-solving abilities to identify issues quickly and propose effective solutions.
• Good verbal and written communication skills for effective collaboration with team members and external partners.
• Ability to work effectively within a team-oriented environment while being proactive in taking on responsibilities.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

Skills:

Power BI, Statistics, Data Analysis

Job type:

Full-time

• 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.

Experience:

3 years required

Skills:

Tableau, Data Analysis, SQL, English

Job type:

Full-time

• Develop interactive dashboards and reports using Tableau..
• Translate business requirements into data visualizations and actionable insights..
• Work with stakeholders to define key performance indicators and reporting metrics..
• Prepare, clean, and manipulate data from multiple sources for analysis..
• Collaborate with data engineers and business analysts to improve data accuracy and consistency..
• Perform trend analysis, forecasting, and reporting for internal and client use..
• Ensure data visualization best practices, including usability and accessibility..
• Document processes and maintain version control for all dashboards and visual reports..
• Your profileExperience with Tableau for data analysis and visualization..
• Experience with data preparation tools and SQL-based querying..
• Minimum 3 years of professional experience as a Data Analyst or BI Analyst..
• Academic background: Bachelor s degree in Statistics, Computer Science, Business Analytics, or related field..
• Fluent Thai and English..
• You are detail-oriented, curious, and able to translate data into strategic insights..
• What we offerAn international community bringing together 110+ different nationalities.
• An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities.
• A robust training system with our internal Academy and 250+ available modules.
• A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.).
• Strong commitments to CSR, notably through participation in our WeCare Together program.
• Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability or other characteristics.

Skills:

ETL, SQL, Data Analysis

Job type:

Full-time

• Data Pipeline Development: Create and maintain optimal data pipeline architecture.
• Data Integration: Assemble large, complex data sets that meet functional and non-functional business requirements.
• Process Improvement: Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery.
• Infrastructure Building: Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources using SQL and AWS technologies.
• Master Data Management (MDM): Implement and manage MDM solutions to ensure data consistency, accuracy, and reliability across the organization.
• Data Lake Management: Design, build, and maintain data lakes to store structured and unstructured data, enabling advanced analytics and machine learning.
• Collaboration: Work with stakeholders including data, design, product, and executive teams to assist with data-related technical issues and support their data infrastructure needs.
• Data Analysis Tools: Build analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics.
• Technical Skills: Proficiency in SQL, Python, big data technologies such as Hadoop, Spark, and AWS, as well as MDM tools and data lake technologies..
• Technical Skills: Platforms, Databases, Programming Languages, Software Appliance: - Oracle: Data Integrator, Golden Gate - Informatica: Data Quality, Data Governance, Dynamic Data Masking, Big Data Management, Enterprise Data Catalog, Intelligent Data Management Cloud, Informatica Master Data Management.
• Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information..
• Experience: Prior experience in data engineering or a related field, with a solid understanding of data architecture, data modeling, MDM, and data lakes..
• Solution Advisor for Analytics, Cloud, Big Data, and Data Governance.
• Architect MDM solutions, including data modeling, match and merge rule configuration, hierarchy management, and data governance frameworks.
• Designed and implemented ETL processes for integrating MDM solutions with various ERP and CRM systems.
• Perform data quality assessments, cleansing, and validation tasks to maintain data accuracy and reliability.

Job type:

Full-time

• Develop product strategy and product development in the analyticX group, Open API, and related platforms such as MarTech and EdTech to meet market demands and align with the company s business plan.
• Manage product revenue, profit, and cost to ensure alignment with business goals and financial targets.
• Possess strong technical knowledge and understanding across key domains, including Software Development, Data Analytics, AI and ML, API and Interface Design, as well as ...
• Deliver impactful product presentations, consultative selling, and design effective solutions for clients, with the ability to successfully close deals. Represent the company as a speaker at relevant events and engagements when required.
• Define product and pricing positioning, plan Go-to-Market (GTM) strategy and Sales & Partner strategies, and work closely with marketing and sales teams on communication and account planning to drive sales performance in line with company objectives..
• A Master s degree in Engineering, Science, Computer Science, Data Science, or another STEM-related field.
• (For candidates holding a Master s degree in Marketing or Business Administration, a Bachelor s degree in a STEM field is required.).
• More than 10 years of work experience, including at least 5 years in Software Product Development in roles such as Product Owner, Business Analyst, System Analyst, or equivalent; and at least 3 years of experience specifically related to Data Analytics.
• Strong understanding of core concepts in Software Development, Data Analytics, AI and Machine Learning, API and Interface Design, and UX/UI Development, with the ability to communicate effectively with domain experts.
• Solid understanding of the mobile operator business or at least one type of B2B business. Experience working with or utilizing Telco Data is a strong advantage.
• Excellent communication and presentation skills, both internally and externally.
• Proven ability in consultative selling, including influencing and closing deals with clients.
• Possesses a growth mindset, is eager to learn, and demonstrates strong self-learning capabilities.
• Strong in strategic thinking, logical thinking, analytical skills, and critical thinking.
• Able to solve complex problems and effectively manage multiple stakeholders.
• Thrives in an outcome-driven environment, demonstrates high self-motivation and autonomy, is highly adaptable, and committed to performing well in a dynamic and fast-paced setting.

Skills:

Statistics, Data Analysis, SAS, English

Job type:

Full-time

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity and analytical skills.
• Experience in digital marketing.
• Academic research experience.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Skills:

Data Analysis, ETL, Data Warehousing

Job type:

Full-time

• Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
• Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
• Data Modeling: Design and implement data models that are optimized for scalability, ...
• Data Transformation and ETL: Develop and maintain efficient Extract, Transform, and Load (ETL) processes to transform raw data into a structured format suitable for analysis and reporting.
• Data Warehousing: Build and maintain data warehouses or data marts that enable efficient storage and retrieval of structured and unstructured data for reporting and analytics purposes.
• Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
• Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as Python, SQL. C++ is plus.
• At least 5 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark, Hive).
• Familiarity with cloud-based data platforms, such as AWS.
• Knowledge of ETL tools and techniques for data integration and transformation.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

Skills:

Product Owner, Project Management, Data Analysis

Job type:

Full-time

• Collaborate with business leaders to identify and prioritize analytics needs.
• Translate business goals into actionable data product and analytics requirements.
• Provide strategic recommendations for the data product roadmap based on business impact.
• Foster strong partnerships with stakeholders across functions.
• Data Product Ownership.
• Lead end-to-end development of data products from ideation to launch and adoption.
• Ensure that data solutions are cost-effective, user-friendly, and aligned with business priorities.
• Drive user adoption and monitor usage to ensure business value is realized.
• Provide technical guidance and support to the data team and business users.
• Project & Performance Management.
• Manage and prioritize data initiatives to meet agreed timelines and quality standards.
• Monitor progress, communicate updates, and report outcomes to stakeholders.
• When issues arise, ensure that arise they are resolved within reasonable timeline, and at root causes.
• Cross-functional Coordination.
• Collaborate with IT and other departments to understand upcoming initiatives that may affect data operations.
• Work with IT and cross-functional teams to mitigate risks and align technical execution with business timelines.
• Quality Assurance.
• Promote data integrity and quality across business processes.
• Ensure data governance policies and procedures are adhered to.
• Drive continuous improvement in data processes and analytics capabilities.
• Bachelor s degree in Business Analytics, Computer Science, Data Science, or a related field.
• Proven experience in a business partnering, IT business analyst, or IT product owner role, with the ability to influence and drive business data strategy.
• Strong project management abilities with experience in leading cross-functional projects.
• Strong ability to analyze user requirements, make recommendations and implement solution.
• Strong communication and interpersonal skills, with the ability to explain complex data concepts to non-technical stakeholders.
• Proficiency in data analysis tools and technologies (e.g., SQL, Python, Power BI).
• Strategic thinker with a business-focused mindset.
• Ability to prioritize and execute in high-pressured environment.
• Ability to work in a fast-paced, dynamic environment.
• Strong problem-solving skills.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.

Experience:

5 years required

Skills:

Power BI, Automation, Risk Management, English

Job type:

Full-time

• Dashboard Design: Create and update Power BI dashboards for insightful analysis.
• Report Automation: Use VBA and macros to streamline report generation.
• Operational Analysis: Analyze metrics like volume, efficiency, cycle time, quality, and service.
• KPI Tracking: Develop scorecards for KPI tracking and support forecasting and capacity planning.
• MIS Support: Ensure effective management information systems.
• Report Production: Timely and accurate production and distribution of management reports.
• Documentation: Document MIS processes for smooth operations.
• Data Presentation: Present clear and actionable findings to management.
• Process Improvement: Identify and implement efficiency enhancements.
• Project Communication: Keep management and stakeholders updated on project statuses.
• Financial Controls: Support financial health and risk management efforts.
• Key Requirements:Bachelor's degree or higher in Computer Science, Computer Engineering, MIS, or related fields.
• At least 5 years of experience in data analysis/science/engineering in performance-driven environments.
• Proficiency in SQL (Python is a plus).
• Strong analytical skills for interpreting financial data.
• Advanced skills in MS Excel, experience in MS Power BI, Power Query, and VBA.
• Advantageous experience in Data Management, Big Data, WFM, CRM, and Telephony systems.
• Excellent communication skills for collaboration across diverse teams.
• Ability to manage multiple priorities independently.
• Strategic mindset for continuous improvement.
• Fluent in English, both written and verbal.
• Preferable: Experience with SAP or similar financial software.
• Preferable: Experience in large matrix organizations, ideally in Insurance or Assistance busines.
• Our employees play an integral part in our success as a business. We appreciate that each of our employees are unique and have unique needs, ambitions and we enjoy being a part of their journey.
• We are there to empower and encourage you with your personal and professional development ensuring that you take control by offering a large variety of courses and targeted development programs. All that in a global environment where international mobility and career progression are encouraged. Caring for your health and wellbeing is key priority for us. This is why we build Work Well programs to providing you with peace of mind and give the flexibility in planning and arranging for a better work-life balance.
• 74070 | Data& Analytics | Professional | PG08 | Allianz Partners | Full-Time | Permanent

Job type:

Full-time

• Develop the analytics strategy of AIS properties, both of website and applications, to gather all data and insight and conduct collection, tracking and analysis of data and the generation of fact-based insights using digital analytic tools including Adobe Analytic, Google Analytic 4 and truehits.net.
• Analysis of digital marketing traffic and channels of paid, own, earn web and app, customer journey and performance marketing analysis-purchase funnel.
• Implement the data driven marketing guideline document and use data driven decision ...
• Execute assigned projects in areas such as analytics implementation, use case, data integration, tag management, online tracking etc.
• Explore the latest Marketing Technologies (MarTech) trends and technological advances including Analytic, DMP, CDP, SEO tools and Social Listening tools etc.
• At least 3 years professional work experience in digital marketing.
• Education background in IT, Statistics.
• Analytical and systematic thinking skills with using Google Analytics 4 tool..

Job type:

Full-time

• ออกแบบและดำเนินการวิเคราะห์ข้อมูลเชิงลึก เพื่อสนับสนุนกลยุทธ์องค์กร และเพิ่มประสิทธิภาพการดำเนินงาน.
• สร้าง Dashboard และรายงานแบบ Interactive โดยใช้ Power BI หรืออื่นๆ.
• สร้าง Framework สำหรับการวิเคราะห์ข้อมูลแบบ End-to-End ตั้งแต่การเก็บข้อมูล ไปจนถึงการนำเสนอผลลัพธ์.
• สร้างแบบจำลองทางสถิติ (Predictive Model) เช่น Sales Demand Forecasting, Fuel Consumption Trends, Customer Lifetime Value.
• ทำงานร่วมกับธุรกิจ ในการแปลปัญหาทางธุรกิจให้เป็นโจทย์การวิเคราะห์ข้อมูล พร้อมนำเสนอ Insight ที่มี Impact.
• ร่วมกำหนด KPI และ Data Strategy กับหน่วยงานธุรกิจ.
• สื่อสารผลการวิเคราะห์ให้เข้าใจง่าย พร้อมข้อเสนอแนะเชิงกลยุทธ์ที่นำไปปฏิบัติได้.
• ปริญญาตรีขึ้นไปในสาขา Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์อย่างน้อย 2-5 ปีในด้าน Data Analytics หรือ Data Science.
• มีประสบการณ์ด้าน Data Visualization และสามารถนำเสนอข้อมูลได้อย่างมีประสิทธิภาพ.
• มีทักษะการเขียนโปรแกรม เช่น Python, R, SQL และเครื่องมือ BI เช่น Power BI, Tableau หรือใกล้เคียง.
• มีทักษะการสื่อสารและการคิดเชิงวิเคราะห์ (Analytical Thinking) ที่ยอดเยี่ยม.
• เข้าใจแนวคิด Machine Learning และสามารถใช้ Libraries เช่น scikit-learn, XGBoost, TensorFlow, PyTorch ได้.
• มีความรู้ความเข้าใจเกี่ยวกับการทำ Forecasting, Clustering และ Predictive Analytics.
• หากมีประสบการณ์กับ Cloud Platform (เช่น AWS, GCP, Azure) จะพิจารณาเป็นพิเศษ.

Experience:

5 years required

Skills:

Statistical Analysis, SQL, Excel

Job type:

Full-time

• Develop and enhance business intelligence solutions, directly contacting stakeholders and top management to transform data into actionable insights.
• Establish and maintain robust relationships with stakeholders, ensuring alignment with business goals and optimally communicating updates, feedback, and addressing concerns.
• Complex Data Analysis and Operational Excellence Analyze large, critical data sets and conduct sophisticated statistical analysis to derive meaningful insights.
• Build and operationalize processes to ensure timely data loading and maintain data accuracy, using tools such as SQL, Snowflake, Microsoft Excel, Tableau, and Microsoft Power BI.
• Define key performance measures, supervise capacity and service status, and assess risk levels across infrastructures, addressing issues with relevant teams and progressing open actions.
• Insight Generation and Continuous Improvement Conduct trend analysis to detect patterns and anomalies in service metrics, performing root cause analysis and driving continuous improvement initiatives.
• Track and analyze mean time metrics for incident, case, and alarm handling, providing actionable insights for operational excellence and customer experience.
• Optimize resource utilization through regular analysis of system capacity, developing and implementing risk management strategies for individual products.
• Collaboration and Communication Facilitate review forums to unify stakeholders and drive collective decision-making, providing regular reports to key customers to communicate current status and drive timely actions.
• Liaise with global development teams to troubleshoot, analyze, and investigate performance-related issues in the infrastructure.
• Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Minimum of 5 years of experience in data analysis or a related field.
• Proficiency in data analysis tools i.e. SQL, python, R, and Tableau/Power BI.
• Strong analytical and problem-solving skills with focused attention to detail.
• Strong organization and project management skills.
• Superb communication and presentation skills.
• Ability to communicate complex data insights optimally to stakeholders.
• Preferred: Experience with Datadog or Big Panda.
• Experience with data modelling.
• Experience in tech industry.
• LSEG is an equal opportunities employer, that seeks to offer an inclusive environment to all colleagues. Furthermore, LSEG has committed to reduce its carbon emissions by 50% by 2030, and to reach net zero by 2040. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Job type:

Full-time

• SAP HR DM.
• About Accenture.
• We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We acti ...
• Visit us at www.accenture.com.
• Equal Employment Opportunity Statement.
• All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
• Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
• Accenture is committed to providing veteran employment opportunities to our service men and women.

Experience:

3 years required

Skills:

Statistics

Job type:

Full-time

• ปฎิบัติงานยัง บริษัท Infinitas by Krungthai.
• We are seeking a highly skilled Data Management Specialist to join our team. The ideal candidate will be responsible for managing and analyzing large data, ensuring data integrity, and developing data management solutions to optimize our operations.
• Design, develop, and maintain data mart and pipeline to ensure accessibility and reliability of data.
• Utilize SQL to perform complex queries, data extraction, and manipulation.
• Analyze and interpret large datasets to identify trends and insights that drive business decisions.
• Ensure data quality, integrity, and security across all managed databases.
• Collaborate with cross-functional teams to understand data needs and deliver effective data management
• solutions.
• Implement and monitor data management policies and procedures.
• Optimize database performance and troubleshoot issues as they arise.
• Leverage big data technologies such as Spark to process and analyze large datasets.
• Develop and maintain ETL processes to ensure seamless data flow between systems.
• Work with cloud platforms such as Google Cloud and AWS to manage and store data securely.
• Required Skills and Qualifications
• Proficiency in SQL: Expertise in writing and optimizing complex SQL queries.
• Problem-solving and analytical skills: Strong ability to analyze data and derive actionable insights.
• Familiarity with cloud platforms: Experience with platforms such as Google Cloud and AWS.
• Database management systems: Hands-on experience with systems like MySQL.
• Big data technologies: Experience with technologies such as Spark.
• Python programming: Proficiency in Python for data manipulation and analysis.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Attention to detail and commitment to maintaining high data quality standards.
• Ability to manage multiple projects and prioritize tasks in a fast-paced environment.
• Education & Experience
• Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field
• Minimum 3 years experience in retail lending or similar role
• Additional Requirements
• Experience with data visualization tools (Tableau, Power BI)
• Ability to work collaboratively with cross-functional teams.
• 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. ".