เงื่อนไขการค้นหา

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Python, C++

ประเภทงาน:

งานประจำ

• รวบรวมข้อมูลจากแหล่งต่างๆ (Data Collection) และจัดเตรียมข้อมูล.
• วิเคราะห์ข้อมูลและประมวลผลข้อมูลตาม Data Model.
• จัดทำ Visualization แสดงผลของข้อมูล เพื่อนำเสนอสารสนเทศที่สังเคราะห์ได้จากข้อมูล Big Data.
• พัฒนา Data Scince Modle เขียนโปรแกรมเพื่อประมวลผลข้อมูลโดยอัตโนมัติและเชื่อมต่อกับส่วนประกอบอื่นๆ.
• ทดสอบการทำงานของโปรแกรม.
• ประชุมเก็บรวบรวม Business requirement, Process จาก User.
• ปฎิบัติงานอื่นๆ ตามที่ได้รับมอบหมายจากผู้บังคับบัญชา.
• วุฒิการศึกษา ปริญญาตรี หรือ ปริญญาโท.
• จบคณะวิทยาศาสตร์ สาขาคอมพิวเตอร์ หรือที่เกี่ยวข้อง.
• มีประสบการณ์ทำงานอย่างน้อย 2 ปี ในตำแหน่ง System Analyst & design หรือที่เกี่ยวข้อง.
• สามารถวิเคราะห์ระบบตามที่บริษัทกำหนดได้.
• สามารถออกแบบระบบได้.
• มีความรู้ใน Oracle หรือ Microsoft SQL.
• มีความรู้ด้าน Object Oriented Programming เป็นอย่างดี.
• พัฒนาโปรแกรมแบบ Model View Control ได้.

ทักษะ:

ETL, SQL, Hadoop

ประเภทงาน:

งานประจำ

• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experience in Data Management or Data Engineer (Retail or E-Commerce business is preferable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in BigData Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Experience in Generative AI is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• Lotus's
• Ek-Chai Distribution System Co., Ltd.
• 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.".

ทักษะ:

Data Analysis, Power BI, Excel

ประเภทงาน:

งานประจำ

• วิเคราะห์ข้อมูลยอดขาย ผลการดำเนินงาน เปรียบเทียบเป้าหมาย.
• วิเคราะห์ข้อมูลกิจกรรมส่งเสริมการขาย และสรุปรวบรวมผลการจัดกิจกรรมเสนอผู้บริหาร.
• วิเคราะห์ข้อมูลการตลาด อัตราการการเติบโต,ราคา,อายุสินค้า,การกระจาย, การจัดเรียง,การซื้อซ้ำ โดยรวบรวมรายงานทั้งข้อมูลบริษัทและข้อมูลคู่แข่ง ฯลฯ.
• ร่วมจัดทำงบประมาณประจำปี (ยอดขายและกิจกรรมส่งเสริมการขาย).
• ตรวจสอบการจัดทำเงินจูงใจ คอมมิชชั่น รวมถึงผลตอบแทนกิจกรรมส่งเสริมการขาย และนำเสนอผู้บริหาร.
• รวบรวมข้อมูลยอดขายและกิจกรรมส่งเสริมการขาย สินค้าออกใหม่.
• สรุปรวบรวมประมาณการขาย.
• ควบคุมการค่าใช้จ่ายส่งเสริมการขาย เปรียบเทียบงบประมาณ.
• ร่วมวางแผน ปรับปรุงระบบการทำงานกับทีมขายและสนับสนุนการขายที่เกี่ยวข้อง พัฒนารูปแบบรายงานต่างๆให้เป็นมาตรฐานเดียวกันทั่วประเทศ.
• สรุปนโยบายการขาย/กิจกรรมส่งเสริมการขาย และแนวปฏิบัติ ให้ทีมงานที่เกี่ยวข้องปฏิบัติเป็นแนวทางเดียวกัน.
• ดูแลสื่อส่งเสริมการขาย POP-POS พร้อมกับติดตามการจัดการและการนำไปใช้งานให้เกิดประโยชน์อย่างคุ้มค่า.
• จัดทำฐานข้อมูลData ในระบบต่างๆ ของบริษัทให้ถูกต้องครบถ้วน ให้เป็นปัจจุบัน.
• ดูแลการตรวจสอบฐานข้อมูลร้านค้า.
• อื่นๆที่ได้รับมอบหมาย.
• ปริญญาตรี/โท สถิติประยุกต์ ด้านบัญชี การเงิน บริหารธุรกิจ หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ด้านงานวิเคราะห์ หรือบัญชีบริหารอย่างน้อย 2-5 ปี.
• มีความรู้ในธุรกิจ Fast Moving Consumer Goods (FMCG).
• มีทักษะทางด้านการใช้MS Officeโดยเฉพาะ Excel ขั้นสูง Power Point, Power BI, SQL, Python.

ทักษะ:

Compliance, Industry trends, Power BI

ประเภทงาน:

งานประจำ

• Lead the management and maintenance of employee data across the company and group companies, ensuring data accuracy, security, and compliance.
• Develop and implement BI (Business Intelligence) strategies to enhance data-driven decision-making processes in HR.
• Design, develop, and maintain interactive dashboards and reports to provide real-time insights into HR metrics and trends.
• Conduct in-depth analysis of HR data to identify patterns, trends, and insights that inform strategic decisions and initiatives.
• Oversee the creation and management of HR datamarts, ensuring data is structured and accessible for analysis and reporting.
• Collaborate with HR and business leaders to understand data requirements and deliver actionable insights that drive HR and business outcomes.
• Stay abreast of industry trends and advancements in HR analytics and data management, incorporating best practices into our operations.
• If you meet below qualifications and are ready to take on a challenging role, we encourage you to apply.
• Bachelor's or Master's degree in Human Resources, Business Analytics, Data Science, or a related field.
• Direct experience in HR data management, analytics, or a related field, with a proven track record of success.
• Strong proficiency in BI tools (e.g., Power BI, Tableau) and data visualization techniques.
• Expertise in data management, including experience with datamarts, databases, and data warehousing.
• Excellent analytical skills, with the ability to translate complex data sets into clear and actionable insights.
• Strong communication and interpersonal skills, with the ability to present data-driven insights to non-technical audiences.
• Experience in project management and cross-functional collaboration.
• About Us.
• SCBX is the mothership of the financial technology business group, comprising 12 subsidiary companies that operate across three key business pillars: Banking Business, Consumer and Digital Finance Business, and Platform and Technology Business. In addition, SCBX also focuses on Climate Technology, aspiring to become The Most Admired Regional Financial Technology Group .
• The company conducts its business with flexibility and prudence in governance and risk management and has possesses the potential to compete equally in global competitions.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Sales, Data Warehousing, Legal

ประเภทงาน:

งานประจำ

• 7 years of experience promoting analytics, data warehousing, or data management software.
• Experience planning, pitching, and executing a territory business strategy.
• Experience executing commercial and legal agreements with procurement, legal, and business teams.
• Experience working with sales engineers and customer technical leads to build business cases for transformation and accompanying plans for implementation.
• Preferred qualifications:
• Experience working with and managing partners in implementation projects.
• Experience with Data Analytics technology stack (e.g., Business Intelligence, Predictive Analytics, Hadoop/Spark Data lakes, Columnar Data Warehouses, Data Streaming, ETL and Data governance, etc.).
• Experience with Google Cloud Data and Analytics offerings (e.g., BigQuery, Looker, Pub/Sub, etc.).
• Ability to engage and influence executive stakeholders as a business advisor in data and analytics.
• Excellent business judgment and analytics skills, with the ability to use data to inform decisions and influence stakeholders.
• The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
• At Google Cloud, we're committed to offering customers an industry-leading Data and Analytics platform to build powerful solutions. In this role, you will build an understanding of the customers' businesses and bring expertise to the executive-level relationships to help them deliver their strategies.Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• Own and calibrate the business against the objectives and key results, accurately forecasting and reporting the state of the business for the assigned territory.
• Build and maintain executive relationships with customers as the data analytics subject matter expert, influencing long-term strategic direction.
• Develop and execute account plans, including a broader enterprise plan across key industries with focus on building accounts.
• Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, articulating key solution differentiators, and measurable business impacts.
• Work with the Google account and technical teams to develop and drive pipeline, and provide expertise. Develop go-to-market (GTM) efforts with Google Cloud Platform partners.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

• Location: ZTE Office, Empire Tower.
• Level: Senior - Expert.
• Key Performance Indicators:
• Lead Pre-Sales for Pan-Net Cloud IaaS and PaaS offerings.
• Design the Commercial and Technical solutions based on customers needs.
• Overall responsibility: position will be located in Slovakia but will be responsible for pre-sales and sales on international level (primarily in Europe).
• Identify target customers and sales opportunities with the clients, engage with prospects to understand their business and technical challenges and map them to DT PN products and solutions.
• Translate Pan-Nets cloud and IaaS solutions and service offerings into meaningful business opportunities for the customers.
• Consult customers on how to transform their current workloads to the cloud using pan-net. cloud products.
• Create customer technical documentation and presentations that define the solution, develop sales documentation.
• Educate the customer and internal stakeholders on cloud native principles. Engage as subject matter expert on IaaS/PaaS solutions.
• Work closely with the sales team as well as other business partners in articulating solutions to customer.
• Gather technical requirements, develop cost effective design and solutions, and present to customers. Engage with solution teams, product managers and other functional teams in the company to deliver the best experience to the customer.
• Lead customer facing presentations, solution envisioning, and proof of concepts.
• Give product demonstrations and prepare compelling proposals to convey value proposition to customers. Identify and resolve technical questions.
• Lead and response to RFI, RFP, RFQ, RFx and proposal developments, close deals and manage contract negotiations.
• Promote the products and soulution at industry events, customer events and other venues.
• Education: University degree Master in computer science, telecommunications, economics or related fields.
• Professional knowledge, skills, know-how in the field & experience in the field:
• More than 5 years experience in field of activity.
• Hands-on experience with one or multiple public cloud offerings (AWS; GC, Azure).
• Practical experience in cloud adoption and cloud transformation.
• Ability to conduct live cloud product demonstration for customers.
• Experience with opensource tools for cloud adoption preferred (e.g. open stack, terraform, ansible,.).
• Experience with telco applications and their requirements for cloud migration preferred.
• Quick learner, ability to multi-task, and work with global distributed teams. Open to travel internationally.
• Excellent listening, negotiation and presentation skills, Excellent verbal and written communications skills.
• Experience in coordinating and managing in cross functional and international teams.
• Ability to manage stakeholders across hierarchies and communicate with the executive positions.

ทักษะ:

Data Analysis, Big Data, Oracle, English

ประเภทงาน:

งานประจำ

• Perform an IT audit and testing ITGC (Information Technology General Computer Control), Data Analysis and utilize technology effectively.
• Take part of integrated audit by performing test of IT dependency controls e.g., automated application control, IT dependent report, system access and authorization control.
• Analyze and solve problems especially big data analysis.
• Assess and giving advice on IT/network security architecture design.
• Assess risk related to information and cybersecurity and evaluate effectiveness of internal controls based on industrial-accepted standard e.g., Information Security Management System (ISMS).
• Assess and giving advice on security technology and security-related configuration e.g., firewall, IDS/IPS, Content filtering, Network routing equipment, Wifi controller, Network access Control, etc.
• Provide overall co-ordination of the audit planning for the areas/ programs under his/her supervision, and supervise the follow up process of subordinates to ensure timely dispatch of audit reports to auditee and obtaining reply from auditee on the implementation status of recommendations.
• Delegate, allocate and assign resources to carry out the audit work, and advise, supervise, and oversee the audit activities carried out by the IA as per the Annual Audit Plan.
• Discuss with GCAE for major risk or audit findings identified during audit.
• Oversee the follow up process of the Senior Internal Auditor to ensure timely dispatch of audit reports to auditee and obtaining reply from auditee on the implementation status of recommendations.
• Review and discuss on the reply received from auditee for any disputes or disagreement.
• To ensure that audit engagements are conducted in accordance with the audit work program and objectives of the audit have been achieved.
• Carry out special / investigation audit assigned by GCAE.
• Participate in the Exit meeting with auditee s management to discuss on the audit findings identified during audit.
• Bachelor's degree preferably in IT, Computer Science or Engineering, Statistic.
• Having 3-5 years of experience in Professional IT Auditor or an equivalent function or experience in auditing firms or as internal auditor more than 7 years.
• Preferably proficient in Oracle or any other related Accounting System. Working knowledge in IT Auditor; highly proficient with ERP configurations e.g., SAP and Oracle. Ability to apply best practices of one ERP system in other ERP systems.
• Able to work to upcountry or overseas.
• Preferably a CISA.
• Excellent communication skills in both oral and written English.
• Able to appreciate business process issues and understand business transaction scenarios, and how an application system (e.g., SAP, Oracle, etc.) can support them.
• Basic understanding of ERP configurations e.g., SAP, Oracle. Ability to apply best practices of one ERP system in other ERP systems.
• Resourceful and able to work out technical solutions.
• Good appreciation of fundamental accounting knowledge and/or audit knowledge and financial controls.
• Good grasp of IT technical concepts, e.g., Operating Systems (Unix, Windows, etc), Databases (Oracle, SQL, etc.).
• Able to handle multiple tasks and assignments.
• Logical thinking, good attitude, fast learner and good team player.
• Working independently without closely supervisor.
• Ability to persuade and influence others, to motivate others and promote teamwork and mentor any others, and to provide effective feedback.
• Certification/Licensure Certified Information System Auditor (CISA), (Preferred).
• Lotus's
• Ek-Chai Distribution System Co., Ltd.
• 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. .

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

English

ประเภทงาน:

งานประจำ

• To support projects requirement by extracting them from business through interaction and research.
• To support adapt at translating business requirement to technical requirements by using analysis and modeling tools to match strategic business objectives.
• To study and research new information technology and method to support business requirement.
• To research the new technology and method for continuously improve system efficiently and effectively.
• Create a Data Analytics by Power BI and will attempt to analyze the tools. that is advanced to meet the business goals.
• Contract Period: 12 Months (First 3 month for performance evaluation before renew contract).
• Working Hour: Mon Fri 08.00-17.00.
• Location: SPRC (Star Petroleum Refining Public) Map Ta Phut Industrial.
• Male / Female, 30-35 years old.
• Bachelors Degree with 4 years of experience Data Analytic.
• Great interpersonal, communication, and presentation skills.
• Proficient in developing visualize report by Power BI.
• Good knowledge for Big Data, Cloud Platform and Data Analytic.
• Knowledge SQL Server, Oracle, MySQL,PowerBI.
• Good developer skill with R, Python, PL/SQL, CICD, Dep Ops, Docker.
• Interested in studying and discovering new technologies both current and future trend such as Cloud, Big Data.
• Intermediate level of English.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Data Entry, English, Thai

ประเภทงาน:

งานพาร์ทไทม์

• ต้อนรับและช่วยบริการลูกค้า.
• จัดเรียงและเติมสินค้า เช็คสินค้า ตามที่ได้รับมอบหมาย.
• ดูแลสต๊อกสินค้า.
• ทำ Invoice ลูกค้าซื้อของ.
• มีความละเอียดรอบคอบ และรวดเร็วในการลงข้อมูล และถูกต้อง.
• งานอื่น ๆ เกี่ยวกับข้อมูลสินค้าที่ได้รับมอบหมาย..
• เพศหญิง อายุ 18 - 25 ปี.
• วุฒิปวช/ปวส ขึ้นไป หรือกำลังศึกษาอยู่ในระดับปริญญาตรี ไม่จำกัดสาขา.
• บุคลิกภาพดี มีความขยันอดทน กระตือรือร้น มีใจรักงานบริการ และสามารถทำงานร่วมกับผู้อื่นได้.
• มีทักษะการสื่อสารภาษาอังกฤษเบื้องต้นได้.
• มีความระเอียดรอบคอบในการลง Invoice และลงข้อมูลสินค้า พิมพ์สัมผัสได้ และใช้คอมพิวเตอร์ได้คล่อง.
• สุภาพอ่อนน้อม ขยัน ฉลาดเรียนรู้ พร้อมเรียนรู้งาน.
• มีความตรงต่อเวลา.

ประเภทงาน:

งานประจำ

กรุงเทพมหานครPostedPosted 8 days ago

ทักษะ:

Statistics, Excel, Data Analysis, English

ประเภทงาน:

งานประจำ

• 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.
• What you'll Need to Succeed:
• 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.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you Have:
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประเภทงาน:

งานประจำ

• About the Department.
• Job Responsibilities.
• UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you ...
• Apply now and make a difference.
• Competencies.
• Strategise.
• Engage.
• Execute.
• Develop.
• Skills.
• Experience.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Database Administration, Python, Analytical Thinking, Good Communication Skills, English

ประเภทงาน:

งานประจำ

• Lead and perform end-to-end large-scaled data discovery (e.g., data acquisition, data cleansing, data modelling) together with developing effective algorithms to provide actionable insights leading to business improvement (e.g., operation improvement, value-added services, growth of revenue).
• Conduct and run data experiment to prototype new data innovation ideas, explore a variety of approaches and refine promising ideas into product ready model or new model.
• Manage (prioritize) and support requests on data analysis and data analytic assignments from business units to identify actionable insights and make recommendations for strategic decision making.
• Communicate findings and build buy-in with key stakeholders through business insights finding, data prototyping or innovation demonstration.
• Coach junior data scientists/ data analyst on technical knowledge. Maintain knowledge of data science trends and regularly share knowledge with the team.
• Collaborate with partners to scale data innovations to make business impact.
• Bachelor or Master Degree in Quantitative fields (e.g., Math, Statistics, Engineering, Statistics, Computer Science, Operational Research) or Equivalent industry experience.
• Over 2 years of professional experience in data analytics, data science or data engineering. Proven track records to leveraging data analytics/data science to create business impact.
• Having experience in data science & analytics, data visualization, data architecture, or data engineering, Programming language (Python, R or Matlab), SQL/ NoSQL, Tableau.
• Good at English language.

ทักษะ:

Risk Management, Compliance

ประเภทงาน:

งานประจำ

• Invite and give in the moment feedback in a constructive manner.
• Share and collaborate effectively with others.
• Identify and make suggestions for improvements when problems and/or opportunities arise.
• Handle, manipulate and analyse data and information responsibly.
• Follow risk management and compliance procedures.
• Keep up-to-date with developments in area of specialism.
• Communicate confidently in a clear, concise and articulate manner - verbally and in the materials I produce.
• Build and maintain an internal and external network.
• Seek opportunities to learn about how PwC works as a global network of firms.
• Uphold the firm's code of ethics and business conduct.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Not Specified
• Available for Work Visa Sponsorship?.
• No
• Government Clearance Required?.
• No
• Job Posting End Date.

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 Governance and Security: Establish and enforce data governance policies and procedures, including data privacy and security measures, to ensure compliance with industry regulations and protect sensitive data.
• Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
• Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, and software engineers, to understand their data needs, provide data solutions, and support their analytical initiatives.
• Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.
• Documentation: Maintain documentation of data processes, data flows, data models, and system configurations, ensuring accuracy and accessibility for future reference.
• 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 3 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.
• Understanding of data governance, data security, and regulatory compliance requirements.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Ability to work in a fast-paced environment and handle multiple projects simultaneously.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

ทักษะ:

Statistics, Salesforce

ประเภทงาน:

งานประจำ

• จำลองข้อมูลเพื่อแบ่งกลุ่มลูกค้าและเพื่อให้เข้าใจข้อมูลพฤติกรรมเชิงลึกของลูกค้า.
• วิเคราะห์พฤติกรรมผู้บริโภค แทรนด์การตลาด จากข้อมูลภายในและจากคู่แข่ง.
• จัดทำรายงาน (Routine Report) พร้อมทั้งบทวิเคราะห์ เพื่อพัฒนายอดขายและเพื่อให้สามารถบริหารจัดการแคมเปญได้อย่างมีประสิทธิภาพ.
• ประสานงานกับคู่ค้า (Brand Partner) เพื่อสร้าง Partnership Campaign.
• วางแผนและประสานงานกับทุกฝ่ายที่เกี่ยวข้อง ทั้งในและนอกทีม เพื่อให้แคมเปญสำเร็จและเป็นไปตามเป้าหมาย.
• พัฒนาและสำรวจความพึงพอใจของผู้บริโภคให้อยู่ในระดับที่ดีเยี่ยม.
• วุฒิการศึกษาระดับปริญญาตรี / โท BBA, MIS, Data Science, Statistics, Mathematics, Computer Science หรือสาขาอื่นๆที่เกี่ยวข้อง.
• มีประสบการณ์ที่เกี่ยวข้อง 1-3 ปี.
• ชอบเรียนรู้ มีความคิดสร้างสรรค์ ชอบการวิเคราะห์ข้อมูล.
• มีความขยัน มุ่งมั่น กระตือรือร้น มีความรับผิดชอบ.
• มีทัศนคติเชิงบวก และยอมรับฟังความคิดเห็น.
• สามารถทำงานเป็นทีมได้ มีทักษะสื่อสารที่ดี.
• มีความอดทน สามารถทำงานภายใต้ความกดดันได้.
• มีความละเอียดรอบคอบ.
• หากมีประสบการณ์ในการใช้โปรแกรม Salesforce หรือ ระบบอื่นที่คล้ายคลึงกัน การจัดการข้อมูลปริมาณมากจะได้รับการพิจารณาเป็นพิเศษ.

ทักษะ:

Research, Python, SQL, Thai

ประเภทงาน:

งานประจำ

• Read, understand, and replicate research papers to help train custom models and enhance our search capabilities.
• Apply knowledge in Siamese networks, XGBoost, Learning to Rank, Two Towers, reranking, relevancy tuning, collaborative filtering, and building embeddings.
• Develop expertise in Thai language NLP tasks, such as vector creation, closest word match, handling tokenization, and fuzziness in non-space languages, using neural networks.
• Work with backend servers and REST APIs to integrate data science solutions into our platform.
• Analyze data and focus on hands-on, results-oriented approaches rather than theoretical modeling.
• Productionize models and collaborate with cross-functional teams to ensure smooth implementation and optimal performance.
• Fine tune LLMs and understand MLOPs.
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience as a Data Scientist, preferably in the search domain and Thai language retail search niches.
• Strong understanding of Siamese networks, XGBoost, Learning to Rank, Two Towers, reranking, relevancy tuning, collaborative filtering, and building embeddings.
• Familiarity with NLP techniques and challenges specific to the Thai language.
• Experience with backend servers and REST APIs.
• Excellent analytical and problem-solving skills, with a focus on hands-on, results-oriented approaches.
• Strong programming skills in Python and SQL.
• Experience with machine learning frameworks such as TensorFlow.
• Familiarity with cloud platforms, preferably AWS.
• Health Insurance - At Maknet, we care about your health! Group insurance from a top insurance company is included in your benefits OPD, IPD, Emergency OPD.
• Provident Fund - Maknet 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!.
• Flexible working hours - We know people have different productive cycles. Choose your way of work whether you are a night owl or an early riser.
• 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 path.

ประเภทงาน:

งานประจำ

กรุงเทพมหานครPostedPosted 1 day ago

ประเภทงาน:

งานประจำ

กรุงเทพมหานครPostedPosted 8 days ago

ประสบการณ์:

5 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
• Job DescriptionConducting transaction data analysis with Hadoop Cloud and big data technologies for internal and external clients and stakeholders, and develop deeper insights into the products using advanced statistical methods.
• Creating user-friendly dashboards and presentations.
• Building predictive models using advanced machine learning techniques interpret and present modeling and analytical results to non-technical audience.
• Executing on the analytic plan with appropriate data mining and analytic techniques.
• Performing QA on data and deliverables by analysts and own deliverables.
• Ensuring all project documentation is up to date and all projects are reviewed per analytic plan.
• Ensuring project delivery within timelines.
• Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure.
• Explore leading methodologies and best practices to other teams and importing successful methodologies from other international markets.
• This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
• QualificationsBachelors degree in Economics, Finance, Computer Science, Statistics, or related quantitative field.
• 5+ years of experience in performing data exploration and feature engineering and ML models.
• Additional InformationVisa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.