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āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
6 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Industry trends, Java, PHP
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Customer First Mindset - Engage with and enable our customers and key decision-makers, delivering a connected customer engagement experience and driving customer satisfaction, through digital sales excellence, empowered by world-class data, marketing systems and platforms.
- Be the key trusted advisor and influencer in shaping customer decisions to buy and adopt Microsoft Azure solutions by winning the customers technical decision for consumption projects and usage scenarios through tailored messaging, technical discussion ...
- Collaborates with Digital Specialists, extended sales team, partners to conduct business analysis (e.g., whitespace analysis, identify industry trends) to pursue high-potential customers and develop a target list of potential business. Elevate team capabilities and focus on working smarter and more effectively. Prioritizing time with customers and partners, leveraging tools and processes to run and grow the business and build a stronger team.
- Lead technical demonstrations of Azure solutions to explain and prove the capabilities of Microsoft Azure relative to the customers business and technical objectives. Collaborates with account teams, partners, or services to track, qualify, and expand new opportunities. Collaborates with other teams (e.g., account teams) and services to build pipeline. Interfaces with customers and builds relationships via social selling. Applies Microsoft's sales to determine the quality of the opportunity and whether to proceed.
- Engages in conversations with customers to introduce how other workloads could enable digital transformation areas that is aligned with the customer's industry and turns opportunities into deals. Has a deep understanding of customers' business and its priorities to drive conversations with customers on digital transformation across multiple solution areas, in collaboration with partners and services. Creates guiding examples of digital transformation through seminars, workshops, Webinars, and direct engagement.
- Build relationships with leadership and field stakeholders to enable team success across internal and external stakeholders. Collaborates with account teams (e.g., Account Executives) to identify and engage senior business subject matter decision makers at the customer's/partner's business and maximize scale through partners; work with technical specialist/CSA to secure commitment.
- Applies the orchestration model to proactively drive deal closure by identifying and aligning internal stakeholders and leveraging and expanding relationships with partners, creating demand leading with industry use cases.
- Required/Minimum Qualifications: 6+ years of technology-related sales or account management experience.
- OR Bachelor's Degree in Information Technology, Business Administration, or related field AND 5+ years of technology-related sales or account management experience.
- Additional or Preferred Qualifications: 8+ years of technology-related sales or account management experience.
- OR Bachelor's Degree in Information Technology, or related field AND 6+ years of technology-related sales or account management experience.
- OR Master's Degree in Business Administration (e.g., MBA), Information Technology, or related field AND 5+ years of technology-related sales or account management experience.
- 3+ years of solution sales or consulting services sales experience.
- Subject matter expertise in any of the following is preferred: Understanding in one of the following: Systems Operations / Management - Virtualization; IP Networking; Storage; IT Security.
- IT Infrastructure knowledge.
- Software design or development - languages such as.NET, C++, Java, PHP, Perl, Python, Ruby on Rails or Pig/Hive; Migration virtual machines from private to public cloud environments.
- SQL including OSS (postgres, MySQL etc), Azure SQL.
- NoSQL Databases including OSS (Maria, Mongo etc), Cosmos DB.
- Data Governance.
- Competitive Landscape - Knowledge of cloud development platforms.
- Partners - Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs.
- Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
āļāļąāļāļĐāļ°:
Compliance, Data Analysis, Power BI
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Build and maintain an HR data repository tailored to the food business under ThaiBev group, focusing on metrics critical to food operations, such as labor productivity, turnover by location, and shift coverage efficiency.
- Ensure data integrity and compliance with industry-specific labor regulations, maintaining a transparent and accurate source of HR information.
- Collaborate with operations teams to integrate labor data from multiple food business units, enabling holistic insights across various branches and regions.
- Assist HR Line Manager on Strategic HR Analytics for Workforce OptimizationConduct data analysis on staffing patterns, turnover rates, and workforce efficiency to identify optimization opportunities aligned with food business cycles.
- Use predictive analytics to anticipate workforce needs for peak and off-peak seasons, aiding in proactive staffing and cost control with operation team to centralization.
- Assist on Commercial Structure and Labor Cost Management for Food OperationsAnalyze labor costs relative to revenue and operational efficiency within different food outlets, providing insights to optimize staffing while maximizing profitability.
- Support the development of labor cost budgets that align with product pricing and sales targets in the food sector, helping maintain competitive yet profitable operations.
- Generate regular reports on labor cost performance against targets, identifying areas for improvement and enabling business leaders to adjust strategy as needed.
- Be Leader on developing Power BI Development for Real-Time Food Business InsightsDesign and deploy Power BI dashboards specific to food operations, offering real-time insights on key metrics like labor costs, staffing levels, and turnover rates across outlets.
- Collaborate with senior leaders in the food division to customize dashboards, highlighting KPIs that impact food production, service speed, and customer satisfaction.
- Continuously update Power BI capabilities to provide comprehensive, up-to-date views on HR metrics essential to food business strategy.
- 3+ years of experience in analytics, data management not specific in HR experience.
- Demonstrated proficiency in Power BI development and advanced Excel skills, including VBA, macros, and pivot tables.
- Prior experience in labor cost analysis, commercial structure evaluation.
- Oishi Group Public Company Limited
- CW Tower, No.90. Ratchadapisek Road, Huai Khwang, Bangkok.
āļāļąāļāļĐāļ°:
Power BI, Excel, Microsoft Office
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāđāļāļĢāļĩāļĒāļāđāļāļĩāļĒāļāļāđāļāļĄāļđāļĨ āļāđāļēāļāđ āđāļāđāļ āļĢāļēāļĒāļ§āļąāļ, āļĢāļēāļĒāđāļāļ·āļāļ, āļĢāļēāļĒāļāļĩ āđāļāļĒāđāļāļĢāļĩāļĒāļāđāļāļĩāļĒāļāļāļąāļāļāđāļāļĄāļđāļĨāđāļāļāļāļĩāļāđāļāđāļēāļŦāļĄāļēāļĒ āđāļĨāļ°āļāļēāļĢāļāļĢāļ°āļĄāļēāļāļāļēāļĢāđāļāļāļāļēāļāļ āđāļāļ·āđāļāļāļģāđāļŠāļāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļāļąāļāļāļģāļāļāļāļĢāļ°āļĄāļēāļāļāļĢāļ°āļāļģāļāļĩāđāļāļŠāđāļ§āļāļāļāļ āļĒāļāļāļāļēāļĒ āđāļĨāļ°āļāđāļēāđāļāđāļāđāļēāļĒāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒ.
- āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļŠāļĢāļļāļ Profit & Loss āļāļĢāļ°āļāļģāđāļāļ·āļāļāđāļāļĄāļļāļĄāļĄāļāļāļāļĢāļīāļŦāļēāļĢāļŊ āđāļāļ·āđāļāļāļģāđāļŠāļāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļāļąāļāļāļģāļāļēāļāļāđāļāļĄāļđāļĨāļāļēāļĄāđāļāļ§āļāļēāļāļāđāļēāļāđ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļ āļāļēāļĢāļāļģāļāļ§āļ/āļāļēāļĢāļāļģāļĢāļēāļĒāļāļēāļāļāļāļāļŠāđāļ§āļāļāļēāļāļāļ·āđāļāđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāđāļ āđāļāđāļēāļŦāļĄāļēāļĒāļāļēāļĢāļāđāļēāļĒāđāļāļīāļāļāļđāļāđāļāđāļŦāđāļāļąāļāļāļāļąāļāļāļēāļ, āđāļāđāļēāļŦāļĄāļēāļĒāļāļēāļĢāļāđāļēāļĒāđāļāļīāļāļĢāļēāļāļ§āļąāļĨ āđāļāđāļāļāđāļ.
- āļāļāļāđāļāļ Dashboard āļŠāļģāļŦāļĢāļąāļāļāđāļāļĄāļđāļĨāļāđāļēāļāļāđāļēāļāđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļŦāđāļāļđāđāđāļāđāļāļēāļāđāļāđāļēāđāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāđāļāđāļāđāđāļāđāļāđāļēāļĒ āđāļāđāļ Power BI.
- āļāļāļāđāļāļ Template āđāļŦāđāļŠāđāļ§āļāļāļēāļāļāđāļēāļāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāļĢāļāļāļĢāļąāļāļāļēāļĢāļāļģāļāļēāļāđāļāļāļēāļĢāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨ āđāļāļ·āđāļāļāđāļ§āļĒāđāļŦāđāļāļēāļĢāļāļģāļāļēāļ āđāļāđāļāļĨāļĨāļąāļāļāđāļāļĩāđāļĢāļ§āļāđāļĢāđāļ§āļāļķāđāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļ·āđāļ āđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āđāļŦāđāļāļģāđāļāļ°āļāļģāđāļāļāļēāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨ āđāļāđāļŦāļāđāļ§āļĒāļāļēāļ āļāđāļēāļ āđ āļāļĩāđāļĄāļĩāļāļēāļĢāđāļāđāļāļēāļāļāđāļāļĄāļđāļĨ.
- āļāļēāļāļāļ·āđāļ āđ āļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāđāļāļĢāđāļāļĢāļĄ MS ExcelāļāļąāđāļāļŠāļđāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāļāļ·āđāļāđ āđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ: Microsoft Office; Word, Power Point.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāļāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļēāļĢāļ§āļēāļāđāļāļ āđāļĨāļ°āļāļēāļĢāļāļąāļāļāļēāļĢāļāļĒāđāļēāļāđāļāđāļāļĢāļ°āļāļ āđāļĨāļ°āļĄāļĩāļĄāļēāļāļĢāļāļēāļāđāļāļāļēāļĢāļāļģāļāļēāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āđāļĨāļ°āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļ āđāļāļāļēāļĢāđāļāļĢāļāļē āļāđāļāļĢāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļĢāļĩāļĒāļāļĢāļđāđāļŠāļīāđāļāđāļŦāļĄāđ āđ āđāļāđāļĢāļ§āļāđāļĢāđāļ§.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļāļģāđāļŠāļāļāļāļēāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāđāļāđ Power BI (āļāđāļēāļĄāļĩ).
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ·āđāļāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļĩāļĒāļāđāļāļĢāđāļāļĢāļĄāļāđāļēāļ āđ (āļāđāļēāļĄāļĩ).
- āļāļīāļāļāđāļāļŠāļāļāļāļēāļĄ.
- āļāļĢāļīāļĐāļąāļ āđāļĄāđāļāļīāļĢāđāļāđāļāļĢāļ āđāļĄāļāđāļāļāđāļĄāđāļāļāđ āļāļģāļāļąāļ.
- āļāļēāļāļēāļĢāđāļĨāđāļēāđāļāđāļāļāđāļ§āļ 1 āļāļąāđāļ 26 āļāļāļāļ§āļīāļ āļēāļ§āļāļĩāļĢāļąāļŠāļīāļ āđāļāļ§āļāļāļāļĄāļāļĨ āđāļāļāļāļāļļāļāļąāļāļĢ āđāļāļ§āļāļāļāļĄāļāļĨ āđāļāļāļāļāļļāļāļąāļāļĢ āļāļąāļāļŦāļ§āļąāļāļāļĢāļļāļāđāļāļāļĄāļŦāļēāļāļāļĢ.
āļāļąāļāļĐāļ°:
Finance, Compliance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Conduct detailed analysis of Enterprise Service revenue to identify trends in products and services within AIS Group.
- Verify the accuracy and completeness of revenue collection, promotion packages, and new services to ensure compliance with business conditions.
- Develop appropriate QA measures to minimize revenue loss and operational errors.
- Detect and investigate irregularities affecting revenue, such as real loss, opportunity loss, and fraud.
- Collaborate with relevant departments to address and rectify issues impacting revenue.
- Ensure the accuracy of service charges, promotion packages, and offerings for enterprise customers.
- Review and validate the calculation of postpaid voice, IDD, and IR services in the RBM system to prevent revenue loss.
- Utilize data analytics skills to analyze data from various sources, reflecting trends, performance, and efficiency of products and services.
- Prepare analysis reports to support management in strategy formulation and risk assessment.
āļāļąāļāļĐāļ°:
Cloud Computing, SAP, Linux
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Acting as the key of Cloud technical aspect for the consulting team to provide the technical consulting to both internal and external customers.
- Design Cloud solution architecture in response to the client s requirement.
- Provide advisory consulting service to the client regarding the True IDC Consulting practices.
- Create Cloud technical requirements to the client s migration plan.
- Experience of designing and implementing comprehensive Cloud computing solutions on various Cloud technologies e.g. AWS, GCP.
- Experience in building multi-tier Service Oriented Architecture (SOA) applications.
- Experience in SAP Cloud Infrastructure in term of architecture & design in AWS, GCP public cloud.
- Knowledge of Linux, Windows, Apache, IIS, NoSQL operations as its architecture toth e Cloud.
- Knowledge of Containerization administrative for both Windows and Linux technologies.
- Knowledge of key concerns and how they are addressed in Cloud Computing such as security, performance and scalability.
- Good in customer objective handling & Good in customer presentation skill.
- Nice to have.
- UNIX shell scripting.
- AWS Certified Solution Architect - Associate.
- GCP Certified Solution Architect - Associate.
āļāļąāļāļĐāļ°:
Excel, Python, Power BI
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Identify and provide list of non-performing inventory, never been sold inventory, non-Planogram, Inventory to Merchandise & Buyer, follow up action and simulate impact from Mark down price.
- Analyze root cause which impact to non-performing inventory increasing and provide conclusion and recommendation for next step action in term of work in a process with relevant parties.
- Work with Store Operations to follow up execution to clear these inventory.
- Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic and other relate filed.
- Have experience in Data analyst, Inventory Analyst, Inventory Planning at least 3-5 Years.
- Excellent for Excel (Pivot, VLOOKUP, VBA), Python, Power BI, Power Query, Tableau.
- Have experience in Retail business /FMCG would be advantage.
- Good Analytic skills.
āļāļąāļāļĐāļ°:
Data Analysis, Excel, Power BI
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Graduate with a Bachelor's/Master's Degree in Economics, Engineer, IT, or other related fields.
- Have an Experience in data analysis or performance reporting.
- Strong data analysis skills using Excel, Power BI, and SQL.
- Able to use VBA/Macro will be given special consideration.
- Experience in Retail businesses will be given special consideration..
- Tasks & responsibilities.
- Prepare and deliver daily, weekly, and monthly business reports to key stakeholders and business controllers.
- Recommend IT solutions for optimizing report generation across Financial, Commercial, and Operational areas.
- Ensure accuracy and consistency in data, readying it for comprehensive reporting.
- Provide data support to internal teams to meet reporting needs.
- Prepare additional ad hoc reports as assigned..
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Analyze data and provide business insight.
- Assess risk and design mitigation actions based on data insight.
- Design dashboards / predictive models for decision-making management.
- Lead and Supervise team by projects.
āļāļąāļāļĐāļ°:
Data Analysis, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Data Innovation Team.
- āļāļāļīāļāļąāļāļīāļāļēāļāļĒāļąāļ āļāļĢāļīāļĐāļąāļ Infinitas by Krungthai
- As a data analyst in Infinitas, you would expect a new level of analytical experiences here. Being part of Data Innovation team, your goal is to make data useful for all stakeholders. Under the big umbrella of the leading bank in Thailand, Infinitas leverage the largest financial data sets from both traditional banking and mobile banking services. From customer digital footprint to branch, ATM and call center. We mea ...
- Job Responsibilities
- Conduct data inventory research with product owner, business owner and IT BA to gain full understandings of data availability.
- Communicate with business owners to translate business problem/challenge into actionable analytical solution
- Initiate EDA ideas to tag hidden opportunities for customer, product, channel and other various areas.
- Analyze digital and traditional user journey funnel and customer persona
- Visualize data for fast decision making and insight interpretation
- Define customer segmentations for strategy planning and marketing targeting
- Plan holistic A/B testing campaigns to evaluate data values on business impact
- Design and fulfill monitoring dashboards and automated reports
- English as working language
- Minimum of 3 years data analytics related working experiences
- At least 1 year of working experience directly communicate to business team
- Proficient in Python or SQL
- Advanced hands on experiences with visualization tool
- Strong communication and analytical thinking skills
- Good balance of data and business knowledge
- Fintech or banking industry
- Internet companies with mobile application.
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ .
āļāļąāļāļĐāļ°:
Positive Thinker, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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.
āļāļąāļāļĐāļ°:
Excel, Python, Power BI
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Create, Develop and Monitor Auto Replenishment & Parameter.
- Maintain and adjust parameters to optimize stock availability/ stock level during normal/month and promotion periods.
- Investigate and identify root cause of overstocking and OOS at Store/DC.
- Monitoring of target stock on normal/seasonal period to suit with business sale target.
- Adjust daily sales in system to correct average daily sales after promotion period.
- Forecasting demand in each promotion campaign to manage Parameter setting.
- Develop Daily KPI Dashboard to monitor sales performance VS Suggest number from system.
- Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic and other relate filed.
- Have experience in Data analyst, Inventory Analyst, Inventory Planning at least 3-5 Years.
- Strong Mathematic skills is a must.
- Excellent for Excel (Pivot, VLOOKUP, VBA), Python, Power BI, Tableau.
- Have experience in Retail business /FMCG would be advantage.
- Good Analytic skills.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Python, ETL, Compliance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
- Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
- Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
- Implement data security and compliance measures to protect data privacy and ensure regulatory compliance.
- Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data.
- Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team.
- Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise.
- Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
- Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure.
- Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python.
- Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP.
- Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink.
- Knowledge of data modeling principles and experience working with SQL databases.
- Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
- Location: True Digital Park, Bangkok (Hybrid working).
āļāļąāļāļĐāļ°:
ETL, Java, Python
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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.
āļāļąāļāļĐāļ°:
Excel, Meet Deadlines, Power BI
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Collect HR Data from a variety of data sources, including HRMS, Excel, Google Sheet and Text files.
- Preparing data and developing analytical reports in the HR area, such as HR Dashboard, to support executive decision-making.
- Analyzes and prepares Executive Dashboard in order to predict and find solutions with HR team member.
- Support the HR team by providing insightful information to support HR strategies.
- Bachelor s Degree in Business Administration or a related field.
- Minimum of 2 years of experience in an HR Data Analyst or HRIS role.
- Ability to manage multiple tasks/projects, work under pressure, and meet deadlines.
- Strong verbal and written communication skills, with excellent presentation abilities.
- Results-driven and solution-oriented.
- Experience with data visualization and analytics platforms such as Microsoft Power BI or Tableau.
- Proficiency in SQL, including platforms like PostgreSQL and Oracle DB.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Big Data, Hive, SAS
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design, implement, and maintain data analytics pipelines and processing systems.
- Experience of data modelling techniques and integration patterns.
- Write data transformation jobs through code.
- Analyze large datasets to extract insights and identify trends.
- Perform data management through data quality tests, monitoring, cataloging, and governance.
- Knowledge in data infrastructure ecosystem.
- Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
- Build data visualizations to communicate findings to stakeholders.
- A willingness to learn and find solutions to complex problems.
- Stay up-to-date with the latest developments in data analytics and science.
- Experience migrating from on-premise data stores to cloud solutions.
- Knowledge of system design and platform thinking to build sustainable solution.
- Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
- Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
- Experience with agile software delivery and CI/CD processes.
- Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
- At least 3 years of experience in data analysis and modeling.
- Proficiency in Python, and SQL.
- Experience with data visualization tools such as Tableau, Grafana or similar.
- Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
- Strong problem-solving skills and the ability to work independently as well as collaboratively.
- This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
- Contact: [email protected] (K.Thipwimon).
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ .
āļāļąāļāļĐāļ°:
ETL, SQL, Hadoop
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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.
- Master 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.
- 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. .
āļāļąāļāļĐāļ°:
Excel, Python, Power BI
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Create, Develop and Monitor Auto Replenishment & Parameter.
- Maintain and adjust parameters to optimize stock availability/ stock level during normal/month and promotion periods.
- Investigate and identify root cause of overstocking and OOS at Store/DC.
- Monitoring of target stock on normal/seasonal period to suit with business sale target.
- Adjust daily sales in system to correct average daily sales after promotion period.
- Forecasting demand in each promotion campaign to manage Parameter setting.
- Develop Daily KPI Dashboard to monitor sales performance VS Suggest number from system.
- Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic and other relate filed.
- Have experience in Data analyst, Inventory Analyst, Inventory Planning at least 3-5 Years.
- Have experience in Retail business /FMCG would be advantage.
- Excellent for Excel (Pivot, VLOOKUP, VBA), Python, Power BI, Tableau.
- Good Analytic skills.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
ETL, Data Analysis, Industry trends
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ70,000 - āļŋ90,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Big Data, ETL, SQL, Python
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
- 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 experiences in Data Management or Data Engineer (Retail or E-Commerce business is preferrable).
- Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
- Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick.
- Experience in Python is a must.
- Experience in Generative AI is a must.
- Knowledge in machine/statistical learning, data mining is a plus.
- Strong analytical, problem solving, communication and interpersonal skills.
- Having good attitude toward team working 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. .
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Mechanical Engineering, Electrical Engineering, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
- 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.
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