เงื่อนไขการค้นหา

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Big Data, Good Communication Skills, Scala

ประเภทงาน:

งานประจำ

• You will be involved in all aspects of the project life cycle, including strategy, road-mapping, architecture, implementation and development.
• You will work with business and technical stakeholders to gather and analyse business requirements to convert them into the technical requirements, specifications, mapping documents.
• You will collaborate with technical teams, making sure the newly implemented solutions/technology are meeting business requirements.
• Outputs include workshop sessions and documentation including mapping documents.
• Develop solution proposals that provide details of project scope, approach, deliverables and project timeline.
• Skills and attributes for success.
• 2-4 years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects.
• Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies.
• Ability to produce client ready solution, business understandable presentations and good communication skills to lead and run workshops.
• Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka.
• Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP, or data vault.
• Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools.
• An in depth understanding of Cloud solutions (AWS, Azure and/or GCP) and experienced in integrating into traditional hosting/delivery models.
• Ideally, you ll also have.
• Experience in engaging with both technical and non-technical stakeholders.
• Strong consulting experience and background, including engaging directly with clients.
• Demonstrable Cloud experience with Azure, AWS or GCP.
• Configuration and management of databases.
• Experience with big data tools such as Hadoop, Spark, Kafka.
• Experience with AWS and MS cloud services.
• Python, SQL, Java, C++, Scala.
• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
• What working at EY offers.
• Support, coaching and feedback from some of the most engaging colleagues around.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that s right for you.
• about EY
• As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
• If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
• Join us in building a better working world. Apply now!.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Data Analysis, Marketing Strategy, Excel, English

ประเภทงาน:

งานประจำ

• วิเคราะห์ข้อมูลลูกค้าแต่ละ segment ศึกษาความต้องการของลูกค้า รูปแบบการซื้อปัจจุบัน - เป้าอนาคต.
• วิเคราะห์ยอดขายตามประเภทสินค้า/ ภาพรวมการขายสินค้าและบริการ Ruejai ตลอดจนข้อมูลคู่แข่งในตลาด.
• จัดทำกลยุทธ์และวางแผนการตลาด.
• จัดทำแคมเปญทางการตลาดและวิเคราะห์ผล.
• สร้าง Lead ให้ฝ่ายขายเพื่อกระตุ้นการขาย และติดตามการนัดหมาย.
• ทำรายงานสรุปผลการขาย พร้อมรายงานผู้ที่เกี่ยวข้องทราบ.
• ประสานงานฝ่ายสื่อสาร ในการทำโฆษณาประชาสัมพันธ์.
• จบการศึกษาระดับปริญญาตรี สาขาการตลาด หรือ สาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้านการตลาด 7-8 ปีขึ้นไป.
• สามารถใช้โปรแกรมexcel (Vlookup, Pivot, IFS, Tableua) powper point, canva ได้.

ทักษะ:

Industry trends, Data Analysis, SQL

ประเภทงาน:

งานประจำ

• Understand, collect and analyze large data sets from multiple sources.
• Collaborate with stakeholders to build data semantics and metrics definition.
• Mock-up dashboard to build intuitive and quick to understand insights.
• Develop data models, and dashboards to visualize and communicate insights to stakeholders.
• Work closely with business stakeholders to understand their data needs and proactively identify opportunities for data-driven insights and improvements.
• Develop and maintain processes to ensure data accuracy, completeness, and consistency.
• Enable customer teams to embrace the delivered data product analytics.
• Stay up-to-date with industry trends, best practices, and emerging technologies related to data analysis.
• 3+ years of relevant experience in data analysis.
• Experience API call, SQL, Python experience to build optimized data marts.
• Experience with data visualization tools such as Power BI, Tableau, Data Studio, Looker.
• Understanding and knowledge of data modeling.
• Strong analytical and problem-solving skills, with the ability to work with large and complex data sets.
• Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a team environment and with customers.
• Fast learner to appreciate the needs of various business models and industries.
• Fluency in Thai language.
• Experience in data engineering to understand the back end data ingestion.
• Experience with Excel and its macro scripts.
• SI Vendor industry experience.
• Bachelor's degree in Mathematics, Statistics, data, Computer Science, or related field.
• Familiarity with statistical analysis and machine learning concepts is a plus.
• 10(15) days annual paid vacation.
• Flexible working hours.
• Hybrid working policy.
• Health insurance.
• Life insurance.
• Provident fund.
• Learning support.
• Free Lunch every Tuesday & Thursday.
• An office in the heart of Bangkok, connected with MRT Queen Sirikit station.
• International work environment with over 20 different nationalities in the team.
• Working with a wide and interesting portfolio of clients in SEA and globally.
• Help with the international relocation, VISA and work permit process from start to finish.
• Opportunity to visit events and conferences.
• Standard perks such as free drinks and snacks in the office, team activities, trips and great parties.
• มีเวลาการทำงานที่ยืดหยุ่น.
• ต้องมีประสบการณ์ 2-3 ปี การทำงานที่เกี่ยวข้องกับการทำงานตำแหน่งนี้.
• ต้องมีสิทธิ์ในการทำงานสำหรับตำแหน่งนี้.
• ทักษะที่จำเป็น
• Industry trends.
• Data Analysis.
• SQL.
• Thai (Excellent).
• ประสบการณ์ที่จำเป็น
• ไม่ระบุประสบการณ์ขั้นต่ำ.
• ทักษะเพิ่มเติม
• Python.
• Power BI.
• Tableau.
• สายงาน
• ไอที / เขียนโปรแกรม.
• ประเภทงาน
• งานประจำ.
• เงินเดือน
• สามารถต่อรองได้.

ทักษะ:

SQL, Oracle, Power BI, English

ประเภทงาน:

งานประจำ

• Business analysis to gather required BI system requirements.
• Translate business requirements into specifications that will be used to drive data store/ data warehouse/ data mart design and configuration.
• Transition developed BI systems to the Operations & Support team.
• Provide support as required to ensure the availability and performance of enterprise data and BI environments for both external and internal users.
• Ensure proper configuration management and change controls are implemented for your sphere of influence.
• Provide technical assistance and cross training to other team members.
• Design and implement technology best practices, guidelines and repeatable processes.
• Must be able to perform duties with moderate to low supervision.
• 5+ years experience implementing enterprise-scale reporting systems, including: Working with users in a requirements analysis role.
• Extensive use of SQL and RDBMS systems, preferable on Oracle.
• Extensive experience with data warehouse implementations, preferable on Oracle Retail Analytics, Oracle BI EE (OBIEE) and Microsoft Power BI.
• Strong knowledge of logical and physical data modeling concepts.
• Excellent interpersonal ( verbal and written) communication skills are required to support working in project environments that include internal, external and customer teams.
• Requires strong analytical, conceptual and problem-solving abilities.
• Programming / scripting experience and knowledge of software development life cycle is preferred.
• Ability to manage multiple priorities, and assess and adjust quickly to changing priorities.
• English communication skill.
• Health Insurance - At Makro PRO, we care about your health! Group insurance from a top insurance company is included in your benefits OPD, IPD, Emergency OPD.
• Provident Fund - Makro PRO 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!.
• 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 pat.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Data Analysis, SQL, Python, English

ประเภทงาน:

งานประจำ

• Identifies and collects data sources using specific tools or techniques; inputs them into the organization's
• information system.
• Provides data flow diagrams and documents the processes used in a company database.
• Assists and participates in data validation to ensure the quality and integrity of data.
• Analyzes and extracts key data and information to meet the organization's information system needs and requirements.
• Work with Business Analyst for producing data specification and interface specification to solve data problem e.g. data flow diagrams.
• Bachelor s degree in Statistics, Economics, Mathematics, or related field.
• 1-3 years of experience in data analysis or related roles. Experience in banking or finance preferred.
• Proficiency in Excel, SQL, Python/R, data visualization tools like Tableau or Power BI. Strong statistical analysis skills.
• Strong understanding of data analysis, statistical methods, and business insights. Knowledge of user personas and journey mapping in data-centric roles.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

ETL, Data Analysis, SQL, Power BI, Tableau, English

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

SQL, Data Warehousing, ETL, English

ประเภทงาน:

งานประจำ

• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Retrieve, prepare, and process a rich data variety of data sources.
• Apply data quality, cleaning and semantic inference techniques to maintain high data quality.
• Explore data sources to better understand the availability and quality/integrity of data.
• Gain fluency in AI/ML techniques.
• Experience with relational database systems with expertise in SQL.
• Experience in data management, data warehousing or unstructured data environments.
• Experience with data integration or ETL management tools such as Talend, Apache Airflow, AWS Glue, Google DataFlow or similar.
• Experience programming in Python, Java or other equivalent is a plus.
• Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, Google DataStudio, Google Analytics or similar.
• Experience with Agile methodology and Extreme Programming is a plus.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Good communication in English.

ทักษะ:

Power BI, Financial Analysis, Statistical Analysis, Data Analysis, SAP, English

ประเภทงาน:

งานประจำ

• Be a team member for transformation projects under Finance & Accounting and ensure assigned initiatives are on track per timeline from project manager.
• Work with a cross functional team e.g. among finance & accounting, IT, operation, commercial etc.
• Design and lean process and apply technology system/ tool e.g. ERP, macro, RPA, etc to drive efficiency, accuracy and control for assigned area.
• Identify area of improvement for assigned initiatives / support initiative prioritization.
• Develop RPA or other automation tools e.g. BI, Macro, ACL etc. to support initiatives.
• Support testing and go live and issue resolution of the processes and relevant systems.
• Support execution and roll out.
• Support the development of change communication, and other change management initiatives.
• Ensure benefit realization (e.g. productivity and control improvement, etc) from automation initiatives.
• Bachelor s or Master degree in Accounting, Finance, Engineering, Business Administration, IT or related fields.
• Knowledge of Strong PowerBI, with expertise RPA and Advance Excel, SQL or Python language is a plus.
• Experience using business intelligence tools (e.g., Power BI).
• A demonstrated ability to perform in-depth financial analysis.
• Firm understanding of statistics and databases.
• Expert problem-solving and analytical skills.
• Understanding of Accounting system such as Oracle, SAP, etc.
• Ability to work in a fast-paced, deadline-driven environment.
• Proven track record of working cross functionally to deliver large scale change projects.
• Good English proficiency at reading, writing and speaking.

ประเภทงาน:

งานประจำ

Prepare data & pack presentation reagarding store concept/ timeline/ business strategies and requested reports for Management 2.Coordinate and gather information with other ralated parties such as Merchandise team, SRD, Design, Construction, Marketing, Customer Insight and Operation etc 3.Collect information and keep track on competitor data and be able to provide recommendation for Managment decision 4.Ensure that each renovating store opens on time and on budget 5.Ability to establish priorities, work independently, and proceed with objectives without supervision 6.Be highly resp ...

ทักษะ:

SQL, Oracle, Software Development, English

ประเภทงาน:

งานประจำ

• Business analysis to gather required BI system requirements.
• Translate business requirements into specifications that will be used to drive data store/ data warehouse/ data mart design and configuration.
• Transition developed BI systems to the Operations & Support team.
• Provide support as required to ensure the availability and performance of enterprise data and BI environments for both external and internal users.
• Ensure proper configuration management and change controls are implemented for your sphere of influence.
• Provide technical assistance and cross training to other team members.
• Design and implement technology best practices, guidelines and repeatable processes.
• Must be able to perform duties with moderate to low supervision.
• 5+ years experience implementing enterprise-scale reporting systems, including: Working with users in a requirements analysis role.
• Extensive use of SQL and RDBMS systems, preferable on Oracle.
• Extensive experience with data warehouse implementations, preferable on Oracle BI EE (OBIEE) and Microsoft PowerBI.
• Strong knowledge of logical and physical data modeling concepts.
• Excellent interpersonal ( verbal and written) communication skills are required to support working in project environments that include internal, external and customer teams.
• Requires strong analytical, conceptual and problem-solving abilities.
• Programming / scripting experience and knowledge of software development life cycle is preferred.
• Ability to manage multiple priorities, and assess and adjust quickly to changing priorities.
• English communication skill.
• ประสบการณ์ที่จำเป็น
• 5 ปี.
• ระดับตำแหน่งงาน
• ระดับหัวหน้างาน.
• สายงาน
• นักวิเคราะห์.
• ประเภทงาน
• งานประจำ.
• เงินเดือน
• สามารถต่อรองได้.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Business Development, Data Analysis, SQL, English

ประเภทงาน:

งานประจำ

• Lead the development and execution of data-driven strategies to optimize sales and business development efforts within seller segment.
• Analyze large datasets to identify trends, opportunities, and potential risks, providing actionable insights to the sales and category management teams.
• Collaborate with cross-functional teams to design and implement data visualization tools and dashboards for monitoring performance and decision-making.
• Monitor market trends, competitors, and customer behavior to inform category strategies and adjust as needed to maintain a competitive edge.
• Develop and maintain predictive models to forecast sales, identify potential upselling and cross-selling opportunities, and assess the impact of promotional activities.
• Bachelor's degree in Business Administration.
• Minimum of 3 years of experience in data analytics, with a focus on sales and/or category management in a fast-paced, e-commerce environment.
• Proficient in using data analysis tools such as SQL, Python, R, and experience with data visualization platforms like Tableau or Power BI.
• Strong understanding of statistical analysis and modeling techniques, with the ability to communicate complex findings to non-technical stakeholders.
• Excellent interpersonal and communication skills, capable of building relationships and influencing decision-making across different teams.

ทักษะ:

Data Analysis, Research, Financial Modeling, English

ประเภทงาน:

งานประจำ

• Report performance with deep analysis in customer.
• Experience in Data Analysis. Business Analysis.
• Data/ Sales Reporting analysis experience.
• Conducting research and analyses of operational effectiveness, processes, stakeholders, etc.
• Create clear and concise materials and presentations needed to communicate across various stakeholder groups.
• Develop feasibility studies: financial modeling, market and competitive landscape analysis.
• Deliver ad-hoc analysis and special projects as requested.
• Act as project manager in new business model, supporting senior manager.
• Set up weekly reports, dashboards with Power BI to monitor and control overall performance in term of sales, margin, and ROI of shops.
• Developed suggested order tool for sales rep in order to achieve the department s sales target.
• Performed strategic opportunities and designed appropriate action plan in operation term.
• Bachelor's Degree in Finance/ Statistics or related field.
• At least two years experience in Data Analysis, Commercial Analysis, Reporting.
• Very good command of Excel & Power Point & Other tools.
• Good command of English.
• ประสบการณ์ที่จำเป็น
• 2 ปี.
• ระดับตำแหน่งงาน
• ระดับหัวหน้างาน.
• สายงาน
• การตลาด / โฆษณา.
• งานขาย.
• ประเภทงาน
• งานประจำ.
• เงินเดือน
• สามารถต่อรองได้.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Data Analysis, SQL, Python, English, Thai

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.
• 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.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Market Analysis, Market Planning, Microsoft Office, English

ประเภทงาน:

งานประจำ

• Analyze customer profile and usage behavior to develop the marketing campaign to increase revenue both voice and internet services, as well as value-added services.
• Manage upsell and anti revenue dilution campaign through all service channels both online and all service touch points.
• Coordinate with related parties to ensure marketing campaign readiness and contacting to target customers through all channels, whether direct communication and all service channels.
• Evaluate the campaign results to improve opportunities to increase service revenue to be more effective.
• Be gate-keeper and consultant for new campaigns & migration campaigns (from batch/kaokang to NGCM new tool) supporting NGCM campaign execution which will apply NBA model (Campaign Priority) to ensure highest business impact to be communicated and prevent distraction with less relevant campaigns.
• Co-ordinate go-to-market execution between NGCM configuration team and business units eg. Keep track of time-line campaign details form, align all business units on expected campaign launch date, co-ordinate execution of campaigns communication both BTL&ATL and contact policy alignment.
• Co-operate with solution team to monitoring all systems providing data sources for NGCM with corrective & completeness data and on time.
• Design & monitor daily campaign contact & tracking dashboard.
• Bachelor or Master's degree in Marketing or in a related field.
• At least 3-5 years experience in Marketing and Analyze Skill.
• Computer literacy in MS Office (Word, Excel, PowerPoint).
• Accountability, team player, enthusiasm and work well under pressure.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Business Development, Market Analysis, Project Management, English

ประเภทงาน:

งานประจำ

• ศึกษา รวบรวมข้อมูลสภาพแวดล้อมทางการตลาด เศรษฐกิจ วัฒนธรรม พฤติกรรมผู้บริโภค กฎระเบียบข้อบังคับ รวมถึงปัจจัยต่าง ๆ ที่มีส่วนเกี่ยวข้อง ตามที่ได้รับมอบหมาย เพื่อใช้เป็นข้อมูล ในการจัดทำแผนธุรกิจอย่างมีประสิทธิภาพ.
• วิเคราะห์ จัดทำรายงานการศึกษาตลาด ตรวจสอบกิจการ (Due Diligence) และการวิเคราะห์ความคุ้มค่าการลงทุนทางเศรษฐศาสตร์ การประเมินมูลค่าสุทธิของกิจการ (Enterprise Value), การประเมินมูลค่า (Valuation) และการวิเคราะห์ด้านอื่น ๆ ของการลงทุนโครงการธุรกิจใหม่ในลักษณะ Merger & Partnership หรือ Joint Venture นำเสนอต่อผู้บังคับบัญชา.
• ติดต่อ ประสานงานกับพันธมิตรทางธุรกิจ บริษัทวาณิชธนกิจ หรือบริษัท Project Developers อื่น ๆ ที่เกี่ยวข้อง เพื่อให้สามารถพัฒนาธุรกิจได้สอดคล้องกับทิศทางและนโยบายของบริษัท.
• รับผิดชอบงานโครงการพัฒนาธุรกิจใหม่ที่ได้รับอนุมัติให้ลงทุน ตามบทบาท หน้าที่ที่ได้รับมอบหมาย เพื่อสนับสนุนการดำเนินโครงการให้สำเร็จได้ตามเป้าหมายที่กำหนด และสามารถส่งมอบให้กับบริษัทย่อยหรือหน่วยงานปฏิบัติการที่เกี่ยวข้องได้.
• ปริญญาตรีขึ้นไป สาขาบริหารธุรกิจ การเงิน เศรษฐศาสตร์ การตลาด หรือวิศวกรรมศาสตร์.
• ประสบการณ์ทำงานมากกว่า 5 ปีขึ้นไป (กรณีจบการศึกษาระดับปริญญาโทขึ้นไป) หรือ ประสบการณ์ทำงานมากกว่า 7 ปีขึ้นไป (กรณีจบการศึกษาระดับปริญญาตรี).
• มีทักษะการพัฒนาธุรกิจ ความรู้ด้านบริหารธุรกิจ การเงิน การตลาด การวิเคราะห์โครงการ.
• หากมีประสบการณ์ในการพัฒนาธุรกิจ Non-Oil ด้าน Food & Beverage, Fast Fit, Health Care, Property/Retail Management หรือ Oil ด้าน Gas Station, Industrial Trade, Oil Logistics, Lubricants จะได้รับการพิจารณาเป็นพิเศษ.

ทักษะ:

SQL, Research, Java

ประเภทงาน:

งานประจำ

• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).
• Educational.
• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Functional Competency.
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB).

ทักษะ:

Financial Reporting, Data Analysis, Business Statistics / Analysis, English

ประเภทงาน:

งานประจำ

• Review business target and existing model.
• Review pre - post performance business case.
• Analyze data to provide insights and recommendations for improving financial performance.
• Develop and planning, budgeting, and forecasting processes.
• Prepare and present financial reports to senior management and stakeholders.
• Ensure compliance with accounting standards and regulations and maintain accurate and up-to-date financial records.
• Develop forecasts and business projections based on historical data, market trends, and business drivers. Support strategic planning initiatives by providing insights and recommendations for achieving Mall goals and objectives.
• Monitor and control costs to optimize financial performance.
• Identify areas for cost reduction and efficiency improvement.
• Monitor and analyze key performance indicators (KPIs) across various business functions such as sales, marketing, finance, operations, and customer service. This involves tracking metrics related to revenue, profitability, productivity, efficiency, customer satisfaction, and other relevant areas.
• Identify opportunities for process optimization and efficiency gains across various business functions. Implement continuous improvement initiatives, streamline workflows, and standardize processes to enhance overall mall performance and productivity.
• Bachelor s & Master Degree in any fields.
• A thorough understanding of shopping malls.
• Ability to identify trends and opportunities.
• Financial & Business Acumen.
• Strong analytical, Logical & communication skills.
• Strong Leadership & Influencing skills.
• Ability to turn data insight to implementation plan.
• Ability to identify trends and opportunities.
• Collaborative skills to engage other teams.
• Ability to lead and motivate related stakeholders especially Mall Analyst team.
• Good command of spoken and written English.
• Self-motivation and drive with positive mindset.
• Work well under high pressure.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Financial Modeling, Power BI, Tableau, English

ประเภทงาน:

งานประจำ

• Conduct market research and analysis to identify emerging trends, competitive landscapes, and growth opportunities within target markets.
• Analyze industry data, customer insights, and market dynamics to assess market size, segmentation, and potential market penetration strategies.
• Evaluate potential business opportunities, partnerships, and investments through financial modeling, feasibility studies, and risk assessments.
• Collaborate with sales, marketing, and product teams to develop go-to-market strategies and sales enablement initiatives for new business initiatives.
• Support the development of business cases, proposals, and presentations to stakeholders, including senior management, investors, and partners.
• Perform competitive analysis and benchmarking to identify key competitors, market positioning, and differentiation strategies.
• Monitor key performance indicators (KPIs), metrics, and milestones to track the progress and success of team initiatives.
• Bachelor's degree or higher in Business Administration, Finance, Economics, or related field.
• Proven at least 5 years of experience as a Business Analyst, Strategy Consultant, or similar role.
• Strong analytical skills with proficiency in market research and business modeling.
• Experience with analysis tools such as Excel, Power BI, Tableau.
• Excellent communication and presentation skills, with the ability to distill complex concepts into clear and compelling narratives.
• Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Data Analysis, Tableau, Excel

ประเภทงาน:

งานประจำ

• Work closely with stakeholders to understand business requirements, identify opportunities, and whitespace to commercialize data-driven insights and solutions.
• The candidate will need to lead data analysis and sales pitching for the Annual Media planning process, and have good commercial awareness and communication skills to be able to connect with multiple stakeholders.
• Break down business questions into analytical frameworks, and being able to talk the language of technical teams as well as commercial stakeholders is a key requirement ...
• The candidate will need to lead the development of end-to-end data lead media solutions, and media measurements to keep ahead of the media industry standards and own roadmap to deploy and modernize media measurements across different media platforms, channels, and mechanics.
• Candidates should have some idea of offline and online SSP and DSP platforms and architecture, and market direction to strategically build and improve media solutions, either owned or in partnership with external parties.
• Be proactive and co-own the go to market strategy along with commercial stakeholders for multiple media channels/ and other data commercialization initiatives, and proactively help plan the right focus areas for the team, develop solutions and products to help build the roadmap and pipeline for commercial opportunities.
• Develop and implement predictive models, statistical algorithms, and machine learning models to support business needs.
• Develop and implement data visualizations using PowerBI/ Data Studio/QuickSight/ Tableau/ Excel to effectively communicate insights to stakeholders.
• Collaborate with cross-functional teams, including business analysts, product managers, and developers, to implement data-driven solutions.
• Stay up to date with emerging technologies, marketing technology platforms, omni-channel media and industry trends to identify new opportunities for improving data analytics and applications.
• Mentor and coach junior data scientists and data analysts to develop their skills and expertise.
• Bachelor s or Master s degree in data science/ engineering/ statistics/economics/ computer science/ mathematics, or a related field is a requirement.
• MBA/Business degree with strong background in technical understanding and hands-on expertise is preferable.
• Online media experience will be a strong advantage.
• 8+ years of experience as a data scientist or data analyst in marketing across any industry is a requirement.
• Strong proficiency in Python/ Pyspark/ SQL/ R is a requirement.
• Strong experience in story telling from data, analysis and insight is required.
• Commercial understanding, and having a balanced approach for go-to-market strategy is a requirement.
• Experience with machine learning algorithms and statistical modeling is a bonus.
• Strong communication skills and the ability to collaborate with cross-functional teams is a requirement.
• Proven ability to work independently and manage multiple projects simultaneously is a requirement.
• The candidate must display a high sense of accountability and be agile in handling high value projects, and be able to motivate the team to deliver as a shared objective with the commercial plan.
• Experience in mentoring and coaching junior/ senior DA/ DS is a requirement.

ทักษะ:

Research, Microsoft Office, English

ประเภทงาน:

ฝึกงาน

• Conduct business (company, industry) and economic research.
• Support in cleansing/migrating existing data to a new system.
• Assist in preparing content for Deloitte Online channel.
• Support in general marketing, sales and admin works.
• Your role as a leader.
• At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We expect our people to embrace and live our purpose and shared values, challenging themselves everyday to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, Associates / Analysts / Consultants across our Firm are expected to:Understand the expectations set and demonstrates personal accountability for keeping own performance on track.
• Understand how our daily work contributes to the priorities of the team and the business.
• Demonstrate strong commitment to personal learning and development.
• Actively focus on developing effective communication and relationship-building skills, with stakeholders, clients and team.
• Work effectively in diverse teams within a highly inclusive team culture where everyone is supported, respected and recognized for their contribution.
• QualificationsStrong communication skills both writing and speaking in Thai/English.
• Strong research and analytical skill.
• Proficiency in Microsoft Office.
• Requisition ID: 105492In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.