เงื่อนไขการค้นหา

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Big Data, SPSS, Customer Relationship Management (CRM), English

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Job skills Requested: CRM Specialist (Data & Research).
• Data Analytics.
• Take accountable into CRM Data Structure and Data Governance as well as CRM System of A.S Watson Group (CRM BO).
• Perform data queries and provide analytical reports on weekly and monthly of key KPIs and membership program s performance also other key statistical measures of business performance with strategic recommendations and insights.
• Manage and enhance CRM Standard Dashboards Report and Analysis for Watsons and Suppliers.
• Provide analytical reports with insights to supplier under both local and regional agreement to identify business opportunities for supplier collaboration.
• Support CRM campaign management to provide insightful data support for Pre and Post campaign Analysis.
• Continuously improve/enhance intelligence reporting.
• Collaborate with Regional Data team to improve and enhance reporting/ analysis.
• Work with Local and Regional IT team to utilize data.
• Research.
• Manage research projects of both Regional Marketing and Watsons Thailand.
• Coordinate and support on internal & external research projects with regional team and suppliers.
• Enhancing company s data with third party sources of information.
• Monitor and keep up to date on Retail Industry and Thailand Economic.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Big Data, Power BI, R

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Understand customer requirement.
• Provide on-site IT support and maintenance services to customer.
• Develop & provide consultation to customer on the design, setup, and implementation of the -Big Data Technology & infrastructure.
• Introduce new technology & IT solutions to help customer improve work process.
• Manage projects and effectively resolve customer issues.
• Work closely with the team to ensure timely completion of client deliverables.
• Document and prepare service report to customer.
• Bachelor's Degree in Computer Engineering, Computer Science, Electronics, Telecommunication, or other IT related fields.
• Basic knowledge of Software installation and setting up.
• Basic knowledge of Linux/Unix Operating System and TCP/IP Networking.
• Shell script, Basic SQL language skill.
• High ability to learn new technology.
• Knowledge of RDBMS System such as SQL Server, MySQL, PostgresQL (+Plus).
• Big Data Technology such as Hive, Impala (+Plus).
• Basic Python Programming (+Plus).
• Collaborate in project planning and system design.
• Good communication skills.
• Service minded.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Market Analysis, Digital Marketing, Microsoft Office

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• วิเคราะห์ข้อมูลการตลาดและนำเสนอแผนงานที่เหมาะสมกับช่องทางขาย.
• ประสานงานกับฝ่ายการตลาด และฝ่ายต่างๆในองค์กร ด้านการให้ข้อมูลทางธุรกิจการตลาด.
• พัฒนาการวิเคราะห์ข้อมูลการตลาดเพื่อวางแผน และแก้ไขปัญหาทางการตลาดและการขาย.
• ชาย / หญิง สัญชาติไทย อายุ 25-30 ปี.
• วุฒิการศึกษาระดับ ปริญญาตรี / โท สาขาการตลาด เศรษฐศาสตร์ สถิติ.
• มีประสบการณ์ด้านการวิเคราะห์ข้อมูลการตลาด / ยอดขาย 1-2 ปีขึ้นไป.
• มีทักษะการใช้ภาษาอังกฤษ การคำนวณ และการใช้คอมพิวเตอร์ Microsoft Office - Excel.
• ทัศนคติเชิงบวก ความสามารถในการวิเคราะห์ ความใส่ใจในรายละเอียด.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

MongoDB, Python, node.js, NoSQL, Thai

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• PeerPower is seeking a dynamic Data Engineer with a keen interest in Machine Learning to join us in disrupting financial services.
• What will you do at PeerPower?.
• Develop and maintain both new and existing functionality of our data management system, software development, and their applications.
• Ensure the code quality and architecture is in line with best practice.
• Assist and coordinate with business and marketing team as required.
• Work with commercial leads to identify opportunities where Machine Learning (ML), and Advanced Analytics (AA) can be applied to data to solve key business challenges.
• Individually or collaborate with other team members to develop ML/AA models to derive actionable insights from data.
• Assess value on predictive analytics use cases; continuously refine model over time.
• Are we right for each other?.
• You are a fast learner and possess a can-do attitude.
• Degree in Computer Science or Computer Engineering.
• 1-3 years experience working on Python/NodeJS/NoSQL.
• Good knowledge about Object-Oriented programming languages especially Python, or Java.
• Experience in solutions using technologies such as Hadoop/NoSQL and developer skills.
• Resourceful, responsible and proactive team player.
• Creative, dynamic and entrepreneurial, with a strong belief in startup creation.
• You are a good team player with good communication skills and love to collaborate.
• Fluent in Thai and English.
• Who we are:PeerPower is the leading Online Marketplace Lender based in Thailand. We believe the Future of Lending is Smarter, Faster, Better.
• Why you ll love it here:
• Get a first-row view of financial service disruption in the region.
• Opportunity to work with an extremely talented and experienced team (over 4 decades of experience in Finance and Technology collectively).
• Easygoing, energetic, result-driven and default-to-open culture.
• Lively, open-concept working environment (our office is located in the heart of Bangkok, accessible by BTS and MRT).
• Opportunity to work with oversea partnerships.
• If you enjoy building something that has the potential to grow and outlast you, if you believe that a group of dedicated individuals can positively impact the world (or at least an industry), if you like to think out of the box and challenge the status quo: this is the place for you!.
• For more information, please contact: [email protected]

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

SAS, SAP, SPSS, English

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• At VR Group, we're proud to stand at the forefront of the Big Data revolution. Using the latest analytic tools and processes, we're able to maximize our offerings and deliver unparalleled service and support. To help carry us even further, we're searching for an experienced Data Analyst to join our team. The ideal candidate should be highly skilled in all aspects of data analytics, including mining, generation, and visualization. Additionally, you should be committed to transforming data into readable, goal-driven reports for continued innovation and growth.
• Job position.
• Objectives of this Role Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks Identify trends and opportunities for growth through analysis of complex data sets Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for data sets Create best-practice reports based on data mining, analysis, and visualization Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data Work directly with management and users to gather requirements, provide status updates, and build relationships.
• Work closely with project managers to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers.
• Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity.
• Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources.
• Define and implement data acquisition and integration logic, selecting appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solution.
• Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across data sets.
• Bachelor's degree in Mathematics, Computer Science, Accounting, Economics, or Statistics or related field.
• At least 0-3 years of experiencein mining data as a data analyst.
• Proven analytic skills, including mining, evaluation, analysis, and visualization.
• Technical writing experience in relevant areas, including queries, reports, and presentations.
• Strong SQL or Excel skills with the ability to learn other analytic tools.
• mostly 25-30 years old.
• Good command of English, both writing & speaking.
• Prior experience with database and model design and segmentation techniques.
• Strong programming experience with frameworks including XML, Javascript, and ETL.
• Practical experience in statistical analysis through the use of statistical packages including Excel, SPSS, SAP, and SAS.
• Proven success in a collaborative, team-oriented environment.