เงื่อนไขการค้นหา

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Automation, Data Analysis, ETL, English

ประเภทงาน:

งานประจำ

• Analyze and understand B2B2C product data, and all related data flows and structures.
• Understand business requirements, analyze large data sets for patterns, visualize results in dashboards and presentations, develop data mart solutions, improve efficiency by automating business processes and become subject matter expert for B2B2C product data.
• Oversee end-to-end ownership of data projects and independently collaborate with eng ...
• Design and implement data pipelines and data warehouse architecture; centralize, automate and scale data creation, processing, and storage; optimize data warehouse performance and reliability.
• Explore and experiment in application development, to challenge existing development processes and drive data automation and usage.
• Ensure data quality and consistency; provide clean data models, that are scalable and useful for different stakeholders.
• Use business intelligence, data science, and visualization tools to build data products.
• Develop, maintain, standardize and improve data documentation.
• What You'll Need to Succeed.
• Bachelor's or advanced degree in Engineering or Information Systems, or other related fields. Internal.
• At least 5 years of experience as an Analytics Engineer or Data Engineer, or experience in the Data Analysis area.
• Excellent communication skills (both verbal and written in English), with proven ability to convey complex messages clearly to stakeholders.
• Must have Hadoop experience at least 3 years.
• Experience in ETL tools, data warehouse design, data modeling, and visualization.
• Strong SQL command and the ability to write complex queries on big data sets.
• Strong programming skills (e.g., Python, Java).
• Quick learner, analytical problem-solving aptitude, effective prioritization, proactive, "can do" mentality and strong attention to detail.
• High sense of ownership and growth mindset.
• A self-motivated, ability to work well independently and as part of a team.
• It's Great If You Have.
• Intellectually curious, fast and self-driven learner on areas including new business models, analytical techniques, technical skills etc.
• Experience with large scale data platforms (Hadoop, Impala, Spark, Vertica).
• Experience with software development processes for Agile/Scrum and CI/CD utilizing technologies such as GIT, Jenkins, Terraform.
• Experience with object-oriented/functional script languages, such as Python, Scala, C++ etc.
• 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.

ทักษะ:

Data Analysis, Finance, SQL, English

ประเภทงาน:

งานประจำ

• Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
• Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
• Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
• ML Model creation: Create data analytic model including both deterministic and machine learning model.
• AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
• Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
• Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
• Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
• Decision-making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.
• Master's degree in Finance, Business, Engineering, or a related field.
• Strong business acumen, with a deep understanding of retail and wholesale business.
• 3+ years of proven experience as a data analytic role (Retail or E-Commerce business is preferable).
• Hands-on Experience in SQL, data cloud platform (e.g., Databricks, Snowflake, GCP, or AWS), and high proficiency in Excel.
• Good Knowledge of Statistics.
• Experience in Python (Pandas, Numpy, SparkSQL), Data Visualisation (Tableau, PowerBI) is a plus.
• Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
• Fluent in Thai and English.
• Having a good attitude toward teamwork and willing to work hard.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Market Planning, SAP, English

ประเภทงาน:

งานประจำ

• Be responsible for design, implement and deliver the functional and technical components of the planning, budgeting and forecasting solutions.
• Able to interact with clients to understand the business requirements to conclude blueprint, configuration, testing, migration, support, and continuous enhancements.
• Responsibilities include, using knowledge of accounting functions on General Ledger, Asset Accounting, Controlling and Profitability process areas.
• Focusing on SAP SAC and SAP Datasphere on development and deployment of business Intelligence Solutions to support business requirements using SAC Planning.
• SAP Business Planning and Consolidations BPC, BusinessObjects Business Intelligence BO BI and Data Warehouse BW skills will be an advantage.
• Bachelor s degree in IT or equivalent work experience.
• Minimum 2 years of experience in managing SAP Analytical and/or Reporting work streams for large or complex systems for various industry sectorsExperience on SAC BPC as a planning tool,.
• Designing implementing data models and data conversionDemonstrates thought proven abilities and technical experience with SAP.
• Analytics technologies S 4HANA Embedded Analytics, BW 4HANA, SAP Fiori, Google Azure AWS Cloud technologies and BI visualization tools.
• Good Understanding of SAP data structures, End to End dataflow, SAC predictive capabilities, augmented analytics, planning, budgeting, forecasting, etc.
• Ability to be flexible and work analytically in a problem solving environment.
• Ability to travel to client sites local or overseas.
• Excellent leadership, communication written and oral and interpersonal skills.