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Experience:

3 years required

Skills:

Compliance, Legal, Risk Management

Job type:

Full-time

• Develop data security policy review, data security policy exceptions, and control risk mitigation processes.
• Define the security controls for access management lifecycle (i.e., requirement for creation, deletion, transfer and review).
• Operate:Advice on technology relating to Data Privacy and Protection (i.e., PDPA) related security controls implementation.
• Drive and support data security controls such as Data Loss Prevention (DLP), Data Masking, Data Encryption capabilities to protect sensitive data.
• Drive compliance (or collaborate with compliance team) to organization security policies, standards, metrics, and legal requirements.
• Communicate and enforce security policies, rules, and standards.
• Conduct impact assessment of data initiatives from a security point of view.
• Ensure the cryptographic keys and related components are safety and protection of confidential information.
• Resolve data security audit and risk findings.
• Review and develop security controls to current access controls policies and procedures.
• Provide requirements for create and manage roles, access rights (includes privileged access), authentication and identity within the environment.
• Conduct periodic review of user access.
• Review, approve and monitor the usage of privileged access.
• EDUCATION.
• Bachelor s degree in computer science, Information Systems, or equivalent education or work experience.
• EXPERIENCE.
• Work experience in privacy, compliance, information security, auditing or a related field may also be an accepted alternative, according to Cybersecurity.
• Minimum 3 years of experience in and strong knowledge of privacy, data, operational risk management, information security, or related areas in IT.
• OTHER REQUIREMENTS.

Experience:

7 years required

Skills:

Data Analysis, Marketing Strategy, Excel, English

Job type:

Full-time

• วิเคราะห์ข้อมูลลูกค้าแต่ละ segment ศึกษาความต้องการของลูกค้า รูปแบบการซื้อปัจจุบัน - เป้าอนาคต.
• วิเคราะห์ยอดขายตามประเภทสินค้า/ ภาพรวมการขายสินค้าและบริการ Ruejai ตลอดจนข้อมูลคู่แข่งในตลาด.
• จัดทำกลยุทธ์และวางแผนการตลาด.
• จัดทำแคมเปญทางการตลาดและวิเคราะห์ผล.
• สร้าง Lead ให้ฝ่ายขายเพื่อกระตุ้นการขาย และติดตามการนัดหมาย.
• ทำรายงานสรุปผลการขาย พร้อมรายงานผู้ที่เกี่ยวข้องทราบ.
• ประสานงานฝ่ายสื่อสาร ในการทำโฆษณาประชาสัมพันธ์.
• จบการศึกษาระดับปริญญาตรี สาขาการตลาด หรือ สาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้านการตลาด 7-8 ปีขึ้นไป.
• สามารถใช้โปรแกรมexcel (Vlookup, Pivot, IFS, Tableua) powper point, canva ได้.

Skills:

Power BI, SQL, Python, English

Job type:

Full-time

• Understand and document business requirements for developing data solutions.
• Develop dashboards, reports, and analyses that provide actionable insights.
• Balance retail/wholesale business acumen with data management expertise and technical proficiency.
• Collaborate closely with data engineers, data scientists, and business partners.
• Contribute to the delivery of robust, scalable data solutions with a focus on performance, security, and governance.
• RequirementsBachelor s degree in a STEM or related fields.
• 1-3 years of experience as a data analyst, preferably in the retail or wholesale industries.
• Proficiency in Power BI, SQL, and Python.
• Basic understanding of cloud data platforms.
• Ability to translate business requirements into effective data solutions.
• Strong communication skills, including:Fluency in verbal and written English.
• Ability to clearly articulate technical concepts to stakeholders with varying technical backgrounds.

Skills:

ETL, Python, Java

Job type:

Full-time

• 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.

Skills:

Big Data, Data Warehousing, ETL

Job type:

Full-time

• Design end-to-end big data architectures and solutions on cloud platforms (e.g., Azure, GCP) to meet business requirements and scalability needs.
• Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand data-related needs and translate them into technical solutions.
• Provide expert guidance and consultation to clients on best practices in cloud data architecture, data integration, data warehousing, and data governance.
• Lead the planning, design, and implementation of data pipelines, ETL processes, and data lakes, ensuring optimal data quality, security, and performance.
• Evaluate and select appropriate technologies, tools, and frameworks to optimize data processing and analysis in a cloud environment.
• Conduct performance tuning and optimization of big data solutions to ensure high-speed data processing and real-time analytics.
• Stay up-to-date with industry trends, emerging technologies, and best practices in cloud computing and big data to continuously enhance the organization's data architecture capabilities.
• Mentor and guide junior team members, fostering skill development and knowledge sharing within the team.
• Collaborate with sales and business development teams to assist in pre-sales activities, such as solution architecture design, proposal development, and client presentations.
• Provide thought leadership through presentations, workshops, and industry conferences.
• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• Minimum of 5 years of experience in designing and implementing big data solutions with a focus on cloud data architecture.
• Proven experience with cloud platforms such as Azure, or GCP, including services like Azure Data Lake, Big Query etc.
• Strong proficiency in programming languages such as Python, Java, Scala, or similar languages for data processing and manipulation.

Skills:

Power BI, SQL, Python, English

Job type:

Full-time

• Understand and document the business requirements for developing effective data solutions.
• Develop dashboards, reports, and analyses that provide actionable insights.
• Balance retail/wholesale business acumen with data management expertise and technical proficiency.
• Collaborate closely with data engineers, data scientists, and business partners.
• Deliver robust, scalable data solutions with a focus on speed, performance, security, governance, and architecture.
• Mentor junior data analysts and promote best practices within the team.
• Requirements5+ years of experience as a data analyst, preferably in retail or wholesale industries.
• Proven expertise in Power BI, SQL, Python and Cloud Data Platforms.
• Demonstrated ability to translate complex business requirements into effective data solutions.
• Strong leadership skills, including:Mentoring and developing junior analysts.
• Managing cross-functional projects.
• Guiding teams through complex BI development initiatives.
• Excellent communication skills, including:Fluency in verbal and written English.
• Ability to clearly articulate technical concepts to stakeholders with varying technical backgrounds.
• Track record of successful collaboration with various departments and stakeholders.

Experience:

No experience required

Skills:

Mechanical Engineering, Electrical Engineering, English

Job type:

Full-time

• Provide day to day installation, maintenance, and repair of all facilities in the data center.
• 24x7 shift work responsibility when qualified and designated.
• Provide requested reporting and documentation.
• Support of facility, development, and construction teams.
• Perform tasks as assigned by DC operation manager.
• Respond to customer requests, power, cooling, and facility audits.
• First tier investigate any power, communication, or cooling anomalies.
• Attend assigned meetings and training.
• Assist in ensuring customer compliance with GSA Acceptance Usage Policy (AUP).
• Provide technical escort when needed.
• Job Qualifications.
• Must be familiar with safety requirements and OSHA regulations or Thailand safety regulations.
• Basic understanding of electrical and mechanical systems that may be employed in a data center environment. This may include electrical feeders, transformers, generators, switchgear, UPS systems, DC power systems, ATS/STS units, PDU units, air handling units, cooling towers, and fire suppression systems.
• Familiar with Interpret wiring diagrams, schematics, and electrical drawings.
• Ability to express ideas clearly, concisely, and effectively with contractors performing maintenance or upgrades on systems installed in the data center environment.
• Excellent verbal, written, and interpersonal communication skills.
• Ability to analyze and make suggestions for problem resolution.
• Solve problems with good initiative and sound judgment.
• Creativity, problem solving skills, negotiation and systematic thinking.
• Fluent in English both written and verbal (Minimum 500 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

Experience:

3 years required

Skills:

ETL, SQL, Python, Big Data, English

Job type:

Full-time

• Administering and testing the reliability of the data systems; monitoring the performance and stability of the systems as the requirements change.
• Configuring and validating the data sources; developing and improvising the integration and analytical tools for efficient data procurement and analysis, including the use of Artificial Intelligence (AI), by developing and piloting AI models and prototype applications; validating whether business problems are addressed.
• Developing and managing the architecture of the data platform and data modelling by ...
• Utilizing niche tools to view and visualize the generated data to support business intelligence and data-driven solutions; maintaining compliance with SLAs, data governance, and security policies.
• Ability to extract, transform and consume data using the best- in-class tools and techniques; selecting and applying appropriate AI technologies and tools to solve problems.
• Implementing information governance standards, policies and processes/procedures as required while developing modern data platforms.
• As part of the AI & Data Analytics team, performing data visualizations (i.e., using tools to create dashboards based on requirements).
• Bachelor s degree in Computer Science, Data Engineering, Information Systems, or related field.
• 3-5 years of experience in data engineering, data pipelines, and ETL processes. Financial services experience
• preferred.
• Expertise in SQL, Python, ETL frameworks, big data tools like Hadoop or Spark, experience in cloud platforms (AWS, GCP, Azure).
• Strong experience in designing and maintaining data architecture and pipelines. Familiar with data warehousing, ETL processes, and data governance.

Skills:

Positive Thinker, English

Job type:

Full-time

• Be the contact for commercial queries, leading the resolution in a client-focused and timely manner in cooperation with Client Liaison and Commercial teams. To be able to identify, investigate and coordinate the resolution of data, process, or product related queries.
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules.
• Analyze and identify gaps and areas for improvement in coding, data input validation ...
• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices.
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction.
• Operate in a virtual/multi-cultural environment, liaising with stakeholders and colleagues.
• QualificationsBachelor s degree in any field.
• A high degree of accuracy, proactivity, and attention to detail.
• Good analytics skills and aptitude for data and operational processes.
• Good in written and verbal communication skills in English.
• A positive thinker and a good Team Player.
• Additional Information
• Our Benefits.
• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee-Assistance-Program (EAP).
• About NIQ.
• NIQ is the world s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights delivered with advanced analytics through state-of-the-art platforms NIQ delivers the Full View&trade. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world s population.
• For more information, visit NIQ.com.
• Want to keep up with our latest updates?.
• Follow us on: LinkedIn | Instagram | Twitter | Facebook.
• Our commitment to Diversity, Equity, and Inclusion.
• NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion.

Experience:

1 year required

Skills:

Data Analysis, SQL, Python, English

Job type:

Full-time

• Identifies and collects data sources using specific tools or techniques; inputs them into the organization's
• information system.
• Provides data flow diagrams and documents the processes used in a company database.
• Assists and participates in data validation to ensure the quality and integrity of data.
• Analyzes and extracts key data and information to meet the organization's information system needs and requirements.
• Work with Business Analyst for producing data specification and interface specification to solve data problem e.g. data flow diagrams.
• Bachelor s degree in Statistics, Economics, Mathematics, or related field.
• 1-3 years of experience in data analysis or related roles. Experience in banking or finance preferred.
• Proficiency in Excel, SQL, Python/R, data visualization tools like Tableau or Power BI. Strong statistical analysis skills.
• Strong understanding of data analysis, statistical methods, and business insights. Knowledge of user personas and journey mapping in data-centric roles.

Experience:

5 years required

Skills:

SAP, Compliance, Risk Management

Job type:

Full-time

• Experience in writing or working with various documents such as policy, standard, procedure, and guideline.
• Knowledge of data platform concept, data lake.
• Advanced knowledge of data management life cycle.
• Good communication, strong analytical and problem-solving skills.
• At least 5 years of working experience in data governance or data management.
• Experience in design of data platform, data engineer.
• Experience business-driven data governance practices implementation.
• Experience with on premised and cloud service eg AWS, Azure, SAP.
• Experience with data pipeline and data management tools.
• Experience in writing or working with various documents such as policy, standard, procedure, and guideline.
• EDUCATION.
• Bachelor s degree in Computer Science, Computer Engineering, Information Technology, or related discipline.
• OTHER REQUIREMENTS (FOR RECRUITMENT).
• ROLE & RESPONSIBILITY.
• Develop Data Governance Framework and data management strategy & roadmap.
• Develop data policy, rules and regulations to control data management standard control ensure compliance with data management, data privacy and global regulations.
• Take the lead in managing data governance framework, data policy and standards with a focus on establishing and ensuring organization adherence to an enterprise data governance framework.
• Partner with Risk Management, Security and Compliance teams to identify related regulatory requirements and implications such as PDPA/GDPR and drive gap assessment and improvement to data policy, standards and governance processes.
• Develop and own the data sharing principles, operational model and process to govern data exchanges with external data ecosystem.
• Review and advise on data sharing to 3rd parties to approval protocol, data usage conditions, as well as data minimization practice.
• Communicate and engage various projects to ensure activities of data management in assigned projects to comply with data management standard and controls.
• Provide stakeholders a thorough advice on data accessibility, and/or data management based on deep understanding of data use cases, data Lake and its ecosystem architecture.
• Drive Data Stewardship and Data Governance program and enterprise-wide data governance awareness throughout the organization including identifying a phased approach to progress and mature the program.

Job type:

Full-time

• Understand customers complaint, try to find out the root causes by using problem solving skill.
• Propose the new workflow / automatic tool to reduce customers complaint.
• Develop the solution to improve the quality of all fixed broadband services
• Propose new monitoring tool to meet customers' satisfaction (included reporting tool).
• Bachelor or Master degree in IT / COMPUTER ENGINEER
• Minimum of 0-5 years Working experience in Telecommunication company, especially in fixed broadband technology
• Experience in Customer support, Network implementation and Network Quality control
• Experience and knowledge in Unix shell script, Python, Unix shell script, Python, PHP, C#.

Experience:

5 years required

Skills:

Data Analysis, Automation, Python

Job type:

Full-time

• Work with stakeholders throughout the organization to understand data needs, identify issues or opportunities for leveraging company data to propose solutions for support decision making to drive business solutions.
• Adopting new technology, techniques, and methods such as machine learning or statistical techniques to produce new solutions to problems.
• Conducts advanced data analysis and create the appropriate algorithm to solve analytics problems.
• Improve scalability, stability, accuracy, speed, and efficiency of existing data model.
• Collaborate with internal team and partner to scale up development to production.
• Maintain and fine tune existing analytic model in order to ensure model accuracy.
• Support the enhancement and accuracy of predictive automation capabilities based on valuable internal and external data and on established objectives for Machine Learning competencies.
• Apply algorithms to generate accurate predictions and resolve dataset issues as they arise.
• Be Project manager for Data project and manager project scope, timeline, and budget.
• Manage relationships with stakeholders and coordinate work between different parties as well as providing regular update.
• Control / manage / govern Level 2 support, identify, fix and configuration related problems.
• Keep maintaining/up to date of data modelling and training model etc.
• Run through Data flow diagram for model development.
• EDUCATION.
• Bachelor's degree or higher in computer science, statistics, or operations research or related technical discipline.
• EXPERIENCE.
• At least 5 years experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Experience using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Qlikview, Rapid Miner, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages.
• Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
• Experience developing and deploying machine learning model in production environment.
• Knowledge in oil and gas business processes is preferrable.
• OTHER REQUIREMENTS.

Experience:

5 years required

Skills:

ETL, Data Analysis, SQL, Power BI, Tableau, English

Job type:

Full-time

• Analyze and interpret complex data sets to uncover insights and trends that drive business strategy and decision-making.
• Collaborate with cross-functional teams to understand their data needs and provide actionable recommendations.
• Design and maintain dashboards, reports, and visualizations using tools to communicate insights effectively.
• Extract data from various sources, including databases, APIs, and third-party services, ensuring data quality and accuracy.
• Develop and implement data models, ETL processes, and automated reporting solutions to streamline data analysis.
• Stay updated with industry trends and new technologies to enhance the company's data analytics capabilities.
• Participate in data governance initiatives, ensuring compliance with data privacy and security regulations.
• Bachelor's degree in Statistics, Data Science, or a related field; an MBA or advanced degree is a plus.
• Minimum of 5 years of experience in business intelligence or data analysis, preferably in a fast-paced e-commerce environment.
• Proficient in SQL and at least one data visualization tool (e.g., Tableau, Power BI), with a solid understanding of data warehousing concepts.
• Strong analytical skills, with the ability to manipulate, clean, and derive insights from large datasets.
• Effective communicator with excellent presentation skills, capable of translating complex data into simple, actionable insights for non-technical stakeholders.

Skills:

Power BI, Financial Analysis, Statistical Analysis, Data Analysis, SAP, English

Job type:

Full-time

• Be a team member for transformation projects under Finance & Accounting and ensure assigned initiatives are on track per timeline from project manager.
• Work with a cross functional team e.g. among finance & accounting, IT, operation, commercial etc.
• Design and lean process and apply technology system/ tool e.g. ERP, macro, RPA, etc to drive efficiency, accuracy and control for assigned area.
• Identify area of improvement for assigned initiatives / support initiative prioritization.
• Develop RPA or other automation tools e.g. BI, Macro, ACL etc. to support initiatives.
• Support testing and go live and issue resolution of the processes and relevant systems.
• Support execution and roll out.
• Support the development of change communication, and other change management initiatives.
• Ensure benefit realization (e.g. productivity and control improvement, etc) from automation initiatives.
• Bachelor s or Master degree in Accounting, Finance, Engineering, Business Administration, IT or related fields.
• Knowledge of Strong PowerBI, with expertise RPA and Advance Excel, SQL or Python language is a plus.
• Experience using business intelligence tools (e.g., Power BI).
• A demonstrated ability to perform in-depth financial analysis.
• Firm understanding of statistics and databases.
• Expert problem-solving and analytical skills.
• Understanding of Accounting system such as Oracle, SAP, etc.
• Ability to work in a fast-paced, deadline-driven environment.
• Proven track record of working cross functionally to deliver large scale change projects.
• Good English proficiency at reading, writing and speaking.

Experience:

3 years required

Skills:

PowerShell, Python, Microsoft Azure, Amazon AWS, English, Thai

Job type:

Full-time

• Design, operate and maintain IT system and Infrastructure on both private cloud and public cloud in accordance with FWD standards and policies.
• Work with project owner and stakeholders to support an application hosted at on-premise data centers and public cloud providers.
• Consult with project owner and stakeholders on deployment design, implementation, monitoring and optimization within cloud platforms.
• Take a hands-on role in automating infrastructure migration to cloud environments.
• Develop scripts to automate standard activities (ie. PowerShell, Python).
• Develop, document, make recommendations, and communicate plans for investing in IT cloud infrastructure, including analysis of cost reduction opportunities.
• Anticipate, mitigate, identify, respond to, and resolve problems affecting cloud systems performance, efficiency, and availability.
• Complete all vulnerability fixing are on time and align with group policy.
• Qualifiations:
• Bachelor s Degree in Computer Science or IT related fields.
• Prefer Certified Microsoft, Azure, AWS or equivalent IT industry certificate.
• Minimum 3-5 years of experience in IT Infrastructure and Cloud Infrastructure.
• Excellence communication both Thai and English.

Job type:

Full-time

Prepare data & pack presentation reagarding store concept/ timeline/ business strategies and requested reports for Management 2.Coordinate and gather information with other ralated parties such as Merchandise team, SRD, Design, Construction, Marketing, Customer Insight and Operation etc 3.Collect information and keep track on competitor data and be able to provide recommendation for Managment decision 4.Ensure that each renovating store opens on time and on budget 5.Ability to establish priorities, work independently, and proceed with objectives without supervision 6.Be highly resp ...

Skills:

SQL, Oracle, Power BI, English

Job type:

Full-time

• Business analysis to gather required BI system requirements.
• Translate business requirements into specifications that will be used to drive data store/ data warehouse/ data mart design and configuration.
• Transition developed BI systems to the Operations & Support team.
• Provide support as required to ensure the availability and performance of enterprise data and BI environments for both external and internal users.
• Ensure proper configuration management and change controls are implemented for your sphere of influence.
• Provide technical assistance and cross training to other team members.
• Design and implement technology best practices, guidelines and repeatable processes.
• Must be able to perform duties with moderate to low supervision.
• 5+ years experience implementing enterprise-scale reporting systems, including: Working with users in a requirements analysis role.
• Extensive use of SQL and RDBMS systems, preferable on Oracle.
• Extensive experience with data warehouse implementations, preferable on Oracle Retail Analytics, Oracle BI EE (OBIEE) and Microsoft Power BI.
• Strong knowledge of logical and physical data modeling concepts.
• Excellent interpersonal ( verbal and written) communication skills are required to support working in project environments that include internal, external and customer teams.
• Requires strong analytical, conceptual and problem-solving abilities.
• Programming / scripting experience and knowledge of software development life cycle is preferred.
• Ability to manage multiple priorities, and assess and adjust quickly to changing priorities.
• English communication skill.
• Health Insurance - At Makro PRO, we care about your health! Group insurance from a top insurance company is included in your benefits OPD, IPD, Emergency OPD.
• Provident Fund - Makro PRO cares about your long-term plan! We offer 3% provident fund.
• Year-end bonus - We include variable and performance bonus for our employees.
• Gym Facilities - Our Head office has a fitness center, yoga room, and recreational space. Enjoy Bangkok scenery and work your body!.
• Attractive Vacations days - Enjoy our attractive annual leave. Let s say the minimum is 18 days!.
• No overtime - We work 5 days a week with. We set our own goals and deadlines.
• Cool hardware - New MacBook. The tool to help you be the best of yourself.
• Free car parking space - No more stress or extra cost if you drive to work. We offer free parking space for our employees.
• Best Culture
• Clear focus.
• Diverse Workplace (Our members are from around the world!).
• Thai and Non-Thai are both welcome!.
• Non-hierarchical and agile environment.
• Growth opportunity and career pat.

Experience:

3 years required

Skills:

Business Development, Data Analysis, SQL, English

Job type:

Full-time

• Lead the development and execution of data-driven strategies to optimize sales and business development efforts within seller segment.
• Analyze large datasets to identify trends, opportunities, and potential risks, providing actionable insights to the sales and category management teams.
• Collaborate with cross-functional teams to design and implement data visualization tools and dashboards for monitoring performance and decision-making.
• Monitor market trends, competitors, and customer behavior to inform category strategies and adjust as needed to maintain a competitive edge.
• Develop and maintain predictive models to forecast sales, identify potential upselling and cross-selling opportunities, and assess the impact of promotional activities.
• Bachelor's degree in Business Administration.
• Minimum of 3 years of experience in data analytics, with a focus on sales and/or category management in a fast-paced, e-commerce environment.
• Proficient in using data analysis tools such as SQL, Python, R, and experience with data visualization platforms like Tableau or Power BI.
• Strong understanding of statistical analysis and modeling techniques, with the ability to communicate complex findings to non-technical stakeholders.
• Excellent interpersonal and communication skills, capable of building relationships and influencing decision-making across different teams.

Skills:

ETL, Java, Python

Job type:

Full-time

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
• Create data products for analytics and data scientist team members to improve their productivity.
• Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team.
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.
• RequirementsPrevious experience as a data engineer or in a similar role.
• Technical expertise with data models, data mining, and segmentation techniques.
• Knowledge of programming languages (e.g. Java and Python).
• Hands-on experience with SQL database design using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies.
• Great numerical and analytical skill.
• Worked with BI tools such as Tableau, Power BI.
• Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.