เงื่อนไขการค้นหา

ทักษะ:

Tableau, Power BI, Excel

ประเภทงาน:

งานประจำ

• Leads and improves analytical programs and presents the results.
• Analyzes the variable granular data of the business and regularly uses advanced models to deliver business insights across diverse business domains.
• Answers and anticipates critical business questions and opportunities and delivers insights to the business in ways that make significant impact.
• Demonstrates use of data visualization (Tableau, Power BI, Excel), and analytic tools (Python, R, SQL, KNIME/Alteryx) to grasp the business insights from mountains of data.
• Collaborates with multifunctional teams (Operations, Initiatives, and IT etc.) to improve key business priorities based on data-driven insights.
• Lead the roll-out and development of digital solution per business needs.

ทักษะ:

Data Analysis, ETL, Data Warehousing

ประเภทงาน:

งานประจำ

• 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).

ทักษะ:

ETL, Compliance, Industry trends, English

ประเภทงาน:

งานประจำ

• Drive and consult our clients to ensure they will have right solutions to solve their use cases.
• Understand, analyze and collect a large set of data from multiple sources.
• Collaborate with stakeholders to validate data semantics and metrics definitions.
• Design and implement data solutions with data orchestration.
• Strong knowledge of ETL orchestration tools (Databricks, Airflow, Pentaho ).
• Model and set up data flow towards third party system such as CDP/CEP.
• Fine-tune data queries for optimization.
• Develop data models following the data architecture.
• Responsible for Technical Solution design documents.
• Ensure the solutions respect all the compliance and security from client, industry and market regulatory (GDPR, PDPA, HIPAA).
• Knowledge of Data governance principles and tools (DBT, Collibra, Purview, ).
• Support pre-sales activities and proposals delivery.
• Work closely with business stakeholders to understand their data needs and with Solutions Architect/Tech Lead to ensure the sprint deliveries.
• Develop and maintain best practice of delivering clean and compliant data pipelines.
• Mentor more junior BI and Data Engineers.
• Stay up-to-date with industry trends, best practices, and emerging technologies related to data.
• The Qualifications.
• Thai language professional proficiency and Good communication skills in English.
• Have experience in Customer Data Platform integration (CDP).
• 5+ years of relevant experience in data engineering.
• Experience in consultancy.
• Experience in API calls, SQL, Python, SparkPY to build optimized ELT/ETL pipeline.
• Knowledge of data modeling and data architecture.
• Experience in Databricks, Snowflake, Fabric, Big Query.
• Have experience in Customer Engagement Platform integration (CEP).
• Experience in AI tool to support development.
• Experience in developing data flow for AI (RAG, Gen BI, ).
• Be able to develop a downloader (Python preferably).
• Strong analytical and problem-solving skills, with the ability to work with large and complex data sets.
• Strong communication skills to effectively explain technical concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a team environment and with customers.
• Fast learner to appreciate the needs of various business models and industries.
• Extra points if you have.
• Certified and experienced in Snowflake.
• Any certification in AWS or Azure.
• First experiences in data modeling.
• Experience with data visualization tools such as Power BI, Tableau, Data Studio, and Looker.
• Experience with docker, Kubernetes.
• Experience in Relay42, Segment, Mparticle, Moengage.
• Experience in ML/AI related areas.
• Exposure in LangChain.
• Worked in more than one project and with various tech stacks.
• SI Vendor industry experience.
• Bachelor's degree in Mathematics, Statistics, data, Computer Science, or related field.
• Familiarity with statistical analysis and machine learning concepts is a plus.
• About us
• Seven Peaks is a world-class technology company specializing in Digital Transformation for companies worldwide, delivering scalable software solutions and experience design, aimed at driving business impact.
• We are based in Bangkok, Thailand, with a growing team of more than 180 industry professionals from over 25 different countries currently providing end-to-end Digital Product services - from Product Design, Mobile/Web Development, Cloud Native Solutions, Data and Analytics, IOT Integrated solutions to Quality Assurance and more.
• Seven Peaks acquired Morphosis, one of the leading UX/UI design companies in Thailand which is now part of the Seven Peaks group.
• For more information please visit https://sevenpeakssoftware.com and https://morphos.is/.
• 10(15) days annual paid vacation.
• Flexible working hours.
• Hybrid Working Policy.
• Health & Life insurance.
• Provident Fund.
• Free Lunch every Wednesday.
• Learning and Certifications support.
• Grade A Office in the heart of Bangkok, directly connect with MRT Queen Sirikit Station.
• International work environment with over 20 different nationalities in the team.
• Working with a wide and interesting portfolio of clients in SEA and globally.
• Opportunity to visit events and conferences.
• Standard perks such as free drinks and snacks in the office, team activities, trips and great parties.

ทักษะ:

Kafka, Big Data, ETL

ประเภทงาน:

งานประจำ

• Design, build, and optimize data pipelines for ingestion, transformation, and storage.
• Develop and maintain real-time and batch processing pipelines using Spark, Kafka, and Airflow.
• Implement data lake and warehouse solutions using MinIO and ClickHouse.
• Ensure data integrity, security, and governance across all layers of the data architecture.
• Collaborate with analytics and business teams to ensure the data infrastructure supports business needs.
• Optimize data models for performance, scalability, and maintainability.
• Troubleshoot and resolve performance issues across data processing and storage systems.
• Leading and mentoring junior data engineers and team members.
• 3+ years of experience in data engineering, big data processing, or ETL development.
• Proficiency in Python and Airflow for data processing.
• Strong understanding of SQL.
• Familiarity with data orchestration and workflow automation.
• Experience with Kafka, Apache Spark, dbt and ClickHouse will be plus.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Contact Information:-.
• K. Sawarin Tel.
• Office of Human Capital.
• DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110.
• MRT QSNCC Station Exit 1.

ทักษะ:

Compliance, AutoCAD, Revit

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Compliance, AutoCAD

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

ETL, Python, Java

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Implement and optimize data storage solutions, including data warehouses and data lakes.
• Collaborate with data scientists and analysts to understand data requirements and provide efficient data access.
• Ensure data quality, consistency, and reliability across all data systems.
• Develop and maintain data models and schemas.
• Implement data security and access control measures.
• Optimize query performance and data retrieval processes.
• Evaluate and integrate new data technologies and tools.
• Mentor junior data engineers and provide technical leadership.
• Collaborate with cross-functional teams to support data-driven decision-making.
• RequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering or related roles.
• Strong programming skills in Python, Java, or Scala.
• Extensive experience with big data technologies such as Hadoop, Spark, and Hive.
• Proficiency in SQL and experience with both relational and NoSQL databases.
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Knowledge of data modeling, data warehousing, and ETL best practices.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

ทักษะ:

SQL, MySQL, Big Data

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable data pipelines.
• Collaborate with business stakeholders to understand data requirements and translate them into technical specification.
• Analyze and understand Business Data in Logical and Physical Models.
• Optimize and improve existing data infrastructure for performance and scalability.
• Ensure data quality and integrity across various data sources.
• Develop and maintain documentation for data engineering processes.
• Skills and Qualifications.
• Bachelor s degree or higher in Computer Engineering, Computer Science, or IT-related fields.
• Fluent in English: TOEIC 750+, TOEFL iBT 98+, or IELTS 6.5+.
• Proven experience as a Data Engineer or in a similar role.
• Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL).
• Experience with big data technologies (e.g., Hadoop, Spark, HANA, Snowflake).
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Strong programming skills in languages such as Python, Java, or Scala.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.
• English language (TOEIC, TOEFL, IELTS) - Score with over 2 years is valid to upload.
• Education Transcript, Certificates - both Bachelor s and Master s Degree (if any).
• Military Documents ( ส&#3604.8 หรือ ส&#3604. 43 ) - for male only.
• Your benefits.
• An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
• Competitive benefits and compensation.
• Premium medical health plan & life insurance Full coverage OPD (for actual reasonable amount necessary for treatment).
• Limit out-of- pocket for IPD.
• Dental fee coverage.
• Annual medical check-up.
• Provident fund contribution rate 5% to 15% of salary.
• Contribution 5% of salary to employee savings plan.
• Housing loan subsidy.
• Workplace flexibility.
• 10 to 20 days annual vacation.
• 5 days personal business leave Special occasion leaves e.g. Birthday, Wedding or Graduation.
• Skills training & development program.
• Tuition assistance.
• Eligibility and details may vary according to work location, service year and conditions in each program/plan.
• Please note benefits may be changed from time to time without notice, subject to the direction and discretion of the Company and/or applicable law.
• Application Process.
• Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here.
• For more information about business solicitation and recruiting scams, please click here.
• We thank you for your interest in ExxonMobil. .
• Stay connected with us.
• Learn more at our website.
• Follow us onLinkedIn and X.
• Like us on Facebook.
• Subscribe our channel at YouTube.
• Equal Opportunity Employer.
• ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
• Corporate Separateness Statement.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

ทักษะ:

Python, SQL, Java

ประเภทงาน:

งานประจำ

• Data Pipeline Development: Design, implement, and maintain data analytics pipelines and processing systems.
• Data Modeling: Apply data modeling techniques and integration patterns to ensure data consistency and reliability.
• Data Transformation: Write data transformation jobs through code to optimize data processing.
• Data Management: Perform data management through data quality tests, monitoring, cataloging, and governance.
• LLM Integration: Design and integrate LLMs into existing applications, ensuring smooth functionality and performance.
• Model Development and Fine-Tuning: Develop and fine-tune LLMs to meet specific business needs, optimizing for accuracy and efficiency.
• Performance Optimization: Continuously optimize LLM performance for speed, scalability, and reliability.
• Infrastructure Knowledge: Possess knowledge of the data and AI infrastructure ecosystem.
• Collaboration: Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
• Continuous Learning: Demonstrate a willingness to learn and find solutions to complex problems.
• Education: Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field.
• Experience: At least 2 years of experience in data engineering and at least 3 years as data scientist.
• Technical Skills: Proficiency in Python, SQL, Java, experience with LLM frameworks (e.g., LangChain), and familiarity with cloud computing platforms. Additional, visualization tools i.e Power BI, Tableau, Looker, Qlik.
• Cloud Computing: Familiarity with cloud computing platforms, such as GCP, AWS, or Databricks.
• Problem-Solving: Strong problem-solving skills with the ability to work independently and collaboratively.
• Desirable.
• System Design: Knowledge of system design and platform thinking to build sustainable solutions.
• Big Data Experience: Practical experience with modern and traditional Big Data stacks (e.g., BigQuery, Spark, Databricks, duckDB, Impala, Hive).
• Data Warehouse Solutions: Experience working with data warehouse solutions, ELT tools, and techniques (e.g., Airflow, dbt, SAS, Nifi).
• API Development: Experience with API design to facilitate integration of LLMs with other systems.
• Prompt Engineering: Skills in designing sequential tasks for LLMs to achieve efficient and accurate outputs.
• Visualization Solution: Skills in design and develop dashboard for analytic & insight.
• Agile Methodologies: Experience with agile software delivery and CI/CD processes.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

ทักษะ:

ETL, Compliance, Industry trends, English

ประเภทงาน:

งานประจำ

• Drive and consult our clients to ensure they will have right solutions to solve their use cases.
• Understand, analyze and collect a large set of data from multiple sources.
• Collaborate with stakeholders to validate data semantics and metrics definitions.
• Design and implement data solutions with data orchestration.
• Strong knowledge of ETL orchestration tools (Openflow, Snowpark, Airflow, Fivetran, Pentaho ).
• Support AI solutions with a strong data foundation design and development.
• Fine-tune data queries for optimization.
• Develop data models following the data architecture.
• Responsible for Technical Solution design documents.
• Ensure the solutions respect all the compliance and security from client, industry and market regulatory (GDPR, PDPA, HIPAA).
• Knowledge of Data governance principles and tools (Snowflake data clean room, DBT, Collibra, ).
• Support pre-sales activities and proposals delivery.
• Work closely with business stakeholders to understand their data needs and with Solutions Architect/Tech Lead to ensure the sprint deliveries.
• Develop and maintain best practice of delivering clean and compliant data pipelines.
• Mentor more junior BI and Data Engineers.
• Stay up-to-date with industry trends, best practices, and emerging technologies related to data.
• The Qualifications.
• 5+ years of relevant experience in data engineering.
• English professional proficiency.
• Certified and experienced in Snowflake.
• Experience in consultancy.
• Experience in API calls, SQL, Python to build optimized ELT/ETL pipeline.
• Knowledge of data modeling and data architecture.
• Experience in AI tools to support development (windsurf, copilot ).
• Experience in developing data flow for AI (RAG, Gen BI, ).
• Exposure to Cortex AI (AI search, Document AI, ).
• Be able to develop a downloader (Python preferably).
• Strong analytical and problem-solving skills, with the ability to work with large and complex data sets.
• Strong communication skills to effectively explain technical concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a team environment and with customers.
• Fast learner to appreciate the needs of various business models and industries.
• Extra points if you have.
• Thai language fluency.
• Good communication skills in English.
• Any certification in AWS or Azure.
• First experiences in data modeling.
• Experience in Fabric, Databricks, Big Query.
• Experience with data visualization tools such as Power BI, Tableau, Data Studio, and Looker.
• Experience with docker, Kubernetes.
• Worked in more than one project and with various tech stacks.
• SI Vendor industry experience.
• Bachelor's degree in Mathematics, Statistics, data, Computer Science, or related field.
• Familiarity with statistical analysis and machine learning concepts is a plus.
• About us
• Seven Peaks is a world-class technology company specializing in Digital Transformation for companies worldwide, delivering scalable software solutions and experience design, aimed at driving business impact.
• We are based in Bangkok, Thailand, with a growing team of more than 180 industry professionals from over 25 different countries currently providing end-to-end Digital Product services - from Product Design, Mobile/Web Development, Cloud Native Solutions, Data and Analytics, IOT Integrated solutions to Quality Assurance and more.
• Seven Peaks acquired Morphosis, one of the leading UX/UI design companies in Thailand which is now part of the Seven Peaks group.
• For more information please visit https://sevenpeakssoftware.com and https://morphos.is/.
• 10(15) days annual paid vacation.
• Flexible working hours.
• Hybrid Working Policy.
• Health & Life insurance.
• Provident Fund.
• Free Lunch every Wednesday.
• Learning and Certifications support.
• Grade A Office in the heart of Bangkok, directly connect with MRT Queen Sirikit Station.
• International work environment with over 20 different nationalities in the team.
• Working with a wide and interesting portfolio of clients in SEA and globally.
• Opportunity to visit events and conferences.
• Standard perks such as free drinks and snacks in the office, team activities, trips and great parties.
• Sponsorship for visa and work permit for expatriates.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Analysis, Python, SQL, English

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable and efficient ETL/ELT data pipelines.
• Collaborate with BI teams, Data Scientists, and business units to deliver data solutions.
• Manage and optimize workflows using tools like Apache Airflow or Azure Data Factory.
• Integrate data from various sources into centralized data lakes or data warehouses.
• Troubleshoot and resolve issues in data pipeline jobs and scheduled workflows.
• Support cloud-based data architecture and ensure performance, security, and availability.
• Bachelor s Degree in Computer Engineering, Software Engineering, Information Technology, Data Engineering or any relevant field.
• 2 - 4 years of experience as a Data Engineer or in a related data role.
• Proficient in SQL and programming languages such as Python (including Pyspark or SparkSQL).
• Experience with ETL tools such as Apache Airflow or Azure Data Factory.
• Familiar with BI tools like Power BI or Tableau.
• Experience working with cloud platforms such as Azure, AWS, or GCP.
• Strong analytical and problem-solving skills, with a collaborative mindset.
• Fluent in Thai with good documentation skill in English.

ทักษะ:

ETL, Big Data, SQL

ประเภทงาน:

งานประจำ

• Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
• Experience with Big Data or data warehouse.
• Analyze & translate functional specifications & change requests into technical specifications.
• Experience in SQL programming in one of these RDBMSs such as Oracle.
• Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
• Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
• Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
• Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
• Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
• Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
• Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
• Proficiency in cloud platforms such as AWS, Azure, and associated services.
• Knowledge of IAC tools like Terraform or Azure ARM.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
• Good understanding of IT Operations.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication and teamwork skills to collaborate effectively across various teams.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ทักษะ:

SAS, SQL, Tableau

ประเภทงาน:

งานประจำ

• Produce daily, weekly, monthly business report for the Collections Department.
• Develop and automated data processes, including routine and ad-hoc reports, to improve efficiency.
• Coordinated cross-functional teams to define business objectives and present complex data insights clearly.
• Analyzed and improved existing business reports and provided support for problem-solving and new business requirements.
• Enhance collector performance by implementing report for performance tracking, involving requirements gathering and report template design by using tools such as SAS.
• Design and develop data visualization, dashboards, to support business comprehend data and make critical decisions.
• Estimate costs and benefits for the sales campaign, incentive schema of the Collections Department.
• Bachelors and / or Masters degree in any field.
• 3+ years experience as MIS.
• Experience in using SAS, SQL, Powe BI, Tableau, Access and Excel (Pivot, VLOOKUP).

ทักษะ:

Sales, Negotiation, Industry trends

ประเภทงาน:

งานประจำ

• Manage and motivate a team of Data Center Sales Specialists and Client Managers to achieve sales targets and business objectives.
• Develop and execute sales strategies aligned with organizational goals and market dynamics.
• Allocate sales territories and targets effectively, ensuring operational plans support continuous improvement.
• Mentor, coach, and provide technical and commercial guidance to the sales team to enhance their effectiveness.
• Oversee sales forecasting, pipeline management, and reporting accuracy.
• Identify and pursue new business opportunities within existing and new accounts.
• Collaborate closely with Client Managers and pre-sales teams to qualify and close complex data center deals.
• Build and maintain strong relationships with key decision-makers, partners, and ecosystem stakeholders.
• Develop account plans and go-to-market strategies in partnership with vendors and internal teams.
• Support negotiation and deal closure processes, ensuring alignment with client needs and company offerings.
• Maintain deep knowledge of data center technologies including servers, storage, networking, cloud solutions, and software-defined infrastructure.
• Address technical challenges during the sales cycle and articulate value propositions tailored to client business goals.
• Work with technical architects to design and present comprehensive data center solutions.
• Stay current on industry trends, competitive landscape, and pricing strategies.
• Analyze market conditions, competitive positioning, and customer requirements to inform sales strategies.
• Collaborate with marketing and engineering teams to develop technical collateral, white papers, and presentations.
• Represent the company at trade events and industry associations to promote products and solutions.
• Ensure CRM and sales tools are updated accurately to reflect pipeline and opportunity status.
• Job QualificationsProven track record of minimum 5 years in data center sales, preferably with experience managing sales teams.
• Strong expertise in data center infrastructure solutions including compute, storage, networking, cloud, and software-defined technologies.
• Demonstrated ability to develop and execute sales strategies and manage complex sales cycles.
• Excellent leadership, coaching, and interpersonal skills.
• Strong business acumen with the ability to understand and align solutions to client business objectives.
• Experience working with channel partners, system integrators, and ecosystem alliances.
• Ability to work collaboratively across internal teams and with external stakeholders.
• Proficient in sales methodologies, CRM systems, and sales reporting tools.
• Willingness to travel as needed within the assigned territory.
• Fluent in English both written and verbal (Minimum 700 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

ทักษะ:

SAP, ERP, Quality Assurance

ประเภทงาน:

งานประจำ

• Support the implementation and integration of SAP S/4HANA for pricing operations.
• Ensure high data quality and governance across all pricing systems.
• Collaborate with IT and functional teams to enhance pricing system capabilities.
• Assist in business continuity and disaster recovery planning for pricing data.
• Conduct UAT testing and develop test scripts.
• Ensure smooth implementation with no business impacts.
• Bachelor's degree in Business Administration, Information Systems, Computer Science, or a related field.
• Strong proficiency in SAP or other ERP, including pricing condition records and system interfaces.
• Excellent data management and data quality assurance skills.
• Proficiency in Microsoft Excel and other data analysis tools.
• Strong analytical and problem-solving abilities.
• Effective communication and collaboration skills.
• Precision, attention to detail.
• Ability to quickly catch-up OTC process.
• Experience in OTC (Order to Cash), data management, or a related field. Pricing operations is a plus.
• Experience with SAP or other ERP implementation projects is highly preferred.
• Familiarity with CRM platforms.
• Familiarity with data governance and quality assurance practices.

ทักษะ:

Payroll, Labor law, Finance

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

ETL, Power BI, Tableau, English

ประเภทงาน:

งานประจำ

• You are an individual contributor who transforms data-control ideas and initiatives into day-to-day operations. Working within the Group Data Governance Department, the role designs workable run-books, pilots them, and scales them across Krungsri Group. In parallel, acts as secretariat for the Data-related Committee handling meeting logistics, decks and minutes..
• For the detailed scope of work.
• Operationalise Data-Control Initiatives - take concepts such as data-quality issue h ...
• Implementation & Change Management - plan pilots, coordinate cut-over, train users, support, and track adoption KPIs.
• Data-related Committee Secretariat - schedule sessions, prepare briefing packs, record action-oriented minutes (English) and chase follow-ups.
• Stakeholder Workshops - facilitate working sessions with data owners, stewards, IT and subsidiaries; gather pain points; co-create practical fixes.
• Continuous-Improvement Loop - set up control checkpoints, dashboards, and after-action reviews to keep each initiative audit-ready.
• Knowledge Management - curate playbooks, templates, FAQs; maintain business-glossary imports/exports in the data catalogue.
• Track and monitor internal data governance process. (i.e. Data quality incident management, dashboard publication, data steward coordination and etc.).
• Apply now if you have these advantages.
• At least 5 years hands-on process rollout / operational-excellence / project implementation in data-rich environments (banking, fintech, telco, analytics, DWH, BI)..
• Proven experience organising executive level committees (agenda, logistics, minutes).
• Working knowledge of data concepts: ETL, metadata, data-quality metrics, privacy controls.
• Knowledge in process-mapping & optimisation (BPMN, Lean, Kaizen), Data-management fundamentals and Relational DB / DWH / BI basics (Power BI, Tableau).
• Strong ability to extract information by questioning, active listening, and interviewing.
• An understanding of relevant statutory frameworks applying to data governance such as the (e.g. Data Protection Act).
• Can facilitation & presentation in Thai and English, crisp minute-writing; strong analytical/problem solving.
• Advanced MS Office, SharePoint/Teams, Visio, JIRA.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (2 days in office per week).
• Unbelievable benefits such as attractive bonuses and many more..
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ทักษะ:

Sales, Marketing Strategy, Statistics

ประเภทงาน:

งานประจำ

• Analyze consumer behavior, market trends, and competitor data, and provide data-driven recommendations for business expansion or marketing strategy development.
• Collect sales, operational, and marketing data from internal and external sources to assess the impact of marketing campaigns and forecast business opportunities.
• Update and maintain accurate databases, and create analytical reports (Dashboards) to present data to management.
• Coordinate with marketing, sales, and other departments to gather information for analysis and address the needs of the organization.
• Bachelor's degree or higher in Data Science, Marketing, Statistics, or a related field.
• At least 2-3 years of experience in data analysis. Experience in retail business will be considered an advantage.
• Proficiency in data analysis tools such as Excel, SQL, Power BI, Tableau, or Python.
• Strong analytical skills and the ability to solve problems in a systematic manner.
• Good presentation and communication skills to convey complex information clearly.
• Attention to detail and the ability to work under pressure.

ทักษะ:

ETL

ประเภทงาน:

งานประจำ

• Design, develop, and modify ETL pipelines for efficient data processing and integration.
• Optimize long-running batches and enhance overall system performance.
• Automate data validation and quality checks within ETL workflows.
• BI Reporting.
• Develop new BI reports and dashboards based on business requirements using tools like OBIEE/BIP and Microsoft PowerBI.
• Support and enhance existing reports, ensuring accuracy and relevance.
• Collaborate with business users to gather requirements and translate them into actionable reporting solutions.
• Data Management.
• Identify, analyze, and resolve data discrepancies and quality issues.
• Implement data fixes and validate results to maintain data integrity.
• Assist in building and maintaining data structures and views for better insights.
• System Support & Collaboration.
• Provide technical assistance for troubleshooting and resolving issues in data integrations and BI systems.
• Collaborate with cross-functional teams to prioritize and address data-related requests.
• Document processes, technical designs, and workflows to facilitate knowledge sharing.
• Process Improvement.
• Contribute to the enhancement of existing systems by implementing the best practices for data pipelines and BI development.
• Develop and maintain detailed logging and alert systems for proactive issue resolution.

ทักษะ:

Finance, Statistics, Python

ประเภทงาน:

งานประจำ

• 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.