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Skills:

Data Analysis, Finance, SQL, English

Job type:

Full-time

• 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. .

Experience:

2 years required

Skills:

Market Planning, SAP, English

Job type:

Full-time

• 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.