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Experience:
2 years required
Skills:
Statistical Analysis, Data Analysis, English
Job type:
Full-time
Salary:
negotiable
- Understanding of business problems forgathering/analyzing/designing the data to solve the problems from end-to-end process.
- Excellent in written and verbal communication skills for coordinating across teams.
- Analyze large amounts of information to discover trends and patterns.
- Lead the analytics group in management of projects and experiment designing, implementing innovative Predictive Models, implementing innovative analytic solutions or driving outstanding results.
- Proficient in common data science toolkits (R, Python) and using SQL languages.
- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop).
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- At least 2-3 year in Business Intelligence/Data Analytic.
- Proficiency in statistical analysis, quantitative analytic, forecasting/predictive analytic, experimental design and optimization algorithms.
- Technical expertise regarding data modeling, data mining, segmentation techniques, unstructured data skills, and other data science.
- Programming skills in big data frameworks and statistical modeling such as SAS, R, and Python, CE Techniques.
- Experience in data visualization tools.
- Knowledge/experience in machine learning.
- Domain knowledge of mobile, network and telecommunication technology and services would be advantageous.
Skills:
Matlab, Python, Java
Job type:
Full-time
Salary:
negotiable
- Designs, develops, and implements end-to-end cloud based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation).
- Ensures that data pipelines are scalable, repeatable, and secure, and can serve multiple users within the company.
- Enables big data and batch/real-time analytical solutions that leverage emerging technologies.
- Collects, parses, manages, analyzes and visualizes large sets of data using multiple platforms.
- Translates complex functional and technical requirements into detailed architecture, design, and high performing software.
- Codes, tests, and documents new or modified data systems to create robust and scalable applications for data analytics.
- Implements security and recovery tools and techniques as required.
- Works with Data Science Lead and developers to make sure that all data solutions are consistent.
- Ensures all automated processes preserve data by managing the alignment of data availability and integration processes.
- Develops standards and processes for integration projects and initiatives.
- Fluency in a high-level modeling language such as MATLAB, R, Stata, etc.
- Fluency in a software programming language such as Python, C++, Java, etc.
- Hands-on knowledge in any of the following visualization tools: Tableau, D3, Ggplot, PowerBI.
- Deep understanding of high performance algorithms and implementation.
- Expert knowledge of data modeling and understanding of different data structures - demonstrable ability to design and implement highly scalable data use cases and models.
- Experience in consumer/retail/e-commerce data science (e.g., machine learning applied for churn analysis, recommender systems, personalization etc.) preferred.
- Excellent problem solving, critical thinking, and communication skills.
- Ability to convey rigorous mathematical concepts and considerations to non-experts.
- Ability to distill problem definitions, models, and constraints from informal business. requirements; and to deal with ambiguity and competing objectives.
- Demonstrated experience with agile or other rapid development methods.
- Professional attitude and service orientation; superb team player.
- Basic understanding of programming, statistics, machine learning, data munging, and data visualization.
- Attention to detail and the ability to effectively present results.
- Strong communication skills, orally and in writing.
- Passion for innovation and can do attitude.
- Strong work ethic; ability to work at an abstract level and gain consensus.
- Attitude to thrive in a fast-paced environment.
- 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 path.
Skills:
Data Analysis, Research, Excel
Job type:
Full-time
Salary:
negotiable
- Develop and oversee the implementation of data science and analysis strategies that align with the company's business objectives.
- Lead the development of predictive models and algorithms to drive data-driven decision-making across the organization.
- Lead a team of data analysts and scientists to generate insights that are crucial for business decision-making.
- Conduct deep dives into data to enhance the company's understanding of customer behaviors and identify business opportunities.
- Take ownership of reports and dashboards, ensuring they provide actionable insights to the customer team and other business stakeholders.
- Collaborate with business stakeholders to analyze team activities and support the decision-making process.
- Work closely with the BI teams for in-depth data analysis to improve company understanding.
- Conduct hypothesis testing and lead the rollout of effective customer initiatives.
- Foster collaboration with various business stakeholders to align customer strategies with overall business objectives.
- Bachelor s degree or higher in applied mathematics, economics, computer science, or data analytics.
- At least 7+ years of experience in data science, with a strong understanding of wholesales business and customer research integration with business planning.
- Proficiency in large-scale data analysis, including customer, hierarchy, and transactional data.
- Advanced data-processing skills with tools such as Excel, Tableau, Power BI, and statistical analysis tools (e.g., Python, SAS, or R).
- Experience in digital customer experience in a high-growth, fast-paced environment.
- Familiarity with Agile methodology is a plus.
- Investigative mindset with the ability to deep dive into data to understand the specific customer case behind a number.
- Strong will to learn and develop new approaches to data analysis.
- Self-motivated, well-organized, flexible, and result-oriented.
- Open-minded towards new ways of doing things and continuous improvement.
- Strong analytical and critical thinking skills.
- Ability to apply logic and business acumen to data analysis activities.
- Excellent communication skills with the ability to explain complex data concepts in simple terms.
Skills:
Data Analysis, Excel, English
Job type:
Full-time
Salary:
negotiable
- An independent, creative thinker.
- Organised and meticulous in nature.
- Capable of discerning meaningful patterns and deriving new insights from large amounts of seemingly confusing data.
- Excellent at communicating complicated technical information to non-technical audiences, using presentation skills with Tableau, PowerPoint, etc.
- Understanding and applying the core concepts.
- Detecting statistical misinformation and anomalies.
- Performing statistical analysis and developing statistical models, using programmes such as Excel, SPSS, etc.
- Special consideration will be given if you also:
- Are capable of developing predictive econometric models,.
- Have knowledge and experience in the property industry,.
- Have computer coding skills (in languages such as SQL), and.
- Are fluent in the English language.
Experience:
10 years required
Skills:
Business Statistics / Analysis, Data Analysis, English
Job type:
Full-time
Salary:
āļŋ100,000 - āļŋ140,000, negotiable
- Develop and execute a comprehensive analytics strategy tailored to the retail sector, integrating our data platform layer to improve sales, customer retention, and operational efficiency.
- Lead and mentor a team of analysts at CP Axtra, fostering a culture of data-driven decision-making and continuous improvement.
- Stay abreast of industry trends and technological advancements in retail analytics and data platforms to maintain a competitive edge.
- Implement and oversee robust data governance practices specific to retail, ensuring data accuracy, integrity, and compliance with regulatory standards within our data platform layer.
- Manage seamless integration of data from multiple sources including POS systems, CRM platforms, online transactions, and third-party data providers into our data platform at CP Axtra.
- Design and develop advanced analytical models and algorithms leveraging our data platform layer to derive actionable insights related to customer behavior, product performance, and market trends.
- Conduct in-depth analysis using statistical methods and machine learning techniques to optimize pricing strategies, inventory management, and promotional campaigns.
- Collaborate closely with retail operations, marketing, and sales teams at CPaxtra to understand business objectives and provide analytical support for strategic decision-making, leveraging insights from the integrated data platform.
- Identify opportunities to enhance customer segmentation, personalized marketing efforts, and overall customer satisfaction through data-driven recommendations.
- Define and monitor key performance indicators (KPIs) related to retail metrics such as sales conversion rates, basket analysis, and customer lifetime value, utilizing data from our integrated platform at CPaxtra.
- Continuously assess and optimize business processes based on data insights to drive revenue growth and operational efficiency.
- Present complex analytical findings and recommendations derived from our data platform in a clear and compelling manner to senior leadership and stakeholders at CP Axtra.
- Collaborate with cross-functional teams to implement data-driven solutions and initiatives that align with organizational goals and leverage our integrated data platform layer effectively.
- Bachelor s degree in Statistics, Mathematics, Economics, Computer Science, or a related field (Master s or PhD preferred).
- 10+ years of progressive experience in analytics, data science, or business intelligence within the retail industry, with a strong focus on data platform integration.
- Experience with cloud-based data platforms and big data technologies.
- Proficiency in statistical analysis tools (e.g., Python, R), database querying languages (e.g., SQL), and data visualization software (e.g., Tableau).
- Strong understanding of retail operations, including inventory management, merchandising strategies, and customer journey mapping, coupled with experience in leveraging integrated data platforms.
- Excellent leadership skills with a proven ability to manage and inspire a team of analysts in a dynamic and fast-paced environment.
- Strategic thinking and problem-solving skills with a focus on driving business value.
- Strong understanding of recommendation/personalization algorithms and data processing technologies.
Experience:
2 years required
Skills:
Data Analysis, SQL, Power BI, Database Development, English
Job type:
Full-time
Salary:
negotiable
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļĒāļāļāļāļēāļĒ āļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļ āđāļāļĢāļĩāļĒāļāđāļāļĩāļĒāļāđāļāđāļēāļŦāļĄāļēāļĒ.
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- āļĢāđāļ§āļĄāļāļąāļāļāļģāļāļāļāļĢāļ°āļĄāļēāļāļāļĢāļ°āļāļģāļāļĩ (āļĒāļāļāļāļēāļĒāđāļĨāļ°āļāļīāļāļāļĢāļĢāļĄāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒ).
- āļāļĢāļ§āļāļŠāļāļāļāļēāļĢāļāļąāļāļāļģāđāļāļīāļāļāļđāļāđāļ āļāļāļĄāļĄāļīāļāļāļąāđāļ āļĢāļ§āļĄāļāļķāļāļāļĨāļāļāļāđāļāļāļāļīāļāļāļĢāļĢāļĄāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒ āđāļĨāļ°āļāļģāđāļŠāļāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļĒāļāļāļāļēāļĒāđāļĨāļ°āļāļīāļāļāļĢāļĢāļĄāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒ āļŠāļīāļāļāđāļēāļāļāļāđāļŦāļĄāđ.
- āļŠāļĢāļļāļāļĢāļ§āļāļĢāļ§āļĄāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļāļēāļĒ.
- āļāļ§āļāļāļļāļĄāļāļēāļĢāļāđāļēāđāļāđāļāđāļēāļĒāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒ āđāļāļĢāļĩāļĒāļāđāļāļĩāļĒāļāļāļāļāļĢāļ°āļĄāļēāļ.
- āļĢāđāļ§āļĄāļ§āļēāļāđāļāļ āļāļĢāļąāļāļāļĢāļļāļāļĢāļ°āļāļāļāļēāļĢāļāļģāļāļēāļāļāļąāļāļāļĩāļĄāļāļēāļĒāđāļĨāļ°āļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļēāļĒāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļāļąāļāļāļēāļĢāļđāļāđāļāļāļĢāļēāļĒāļāļēāļāļāđāļēāļāđāđāļŦāđāđāļāđāļāļĄāļēāļāļĢāļāļēāļāđāļāļĩāļĒāļ§āļāļąāļāļāļąāđāļ§āļāļĢāļ°āđāļāļĻ.
- āļŠāļĢāļļāļāļāđāļĒāļāļēāļĒāļāļēāļĢāļāļēāļĒ/āļāļīāļāļāļĢāļĢāļĄāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒ āđāļĨāļ°āđāļāļ§āļāļāļīāļāļąāļāļī āđāļŦāđāļāļĩāļĄāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļāļīāļāļąāļāļīāđāļāđāļāđāļāļ§āļāļēāļāđāļāļĩāļĒāļ§āļāļąāļ.
- āļāļđāđāļĨāļŠāļ·āđāļāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒ POP-POS āļāļĢāđāļāļĄāļāļąāļāļāļīāļāļāļēāļĄāļāļēāļĢāļāļąāļāļāļēāļĢāđāļĨāļ°āļāļēāļĢāļāļģāđāļāđāļāđāļāļēāļāđāļŦāđāđāļāļīāļāļāļĢāļ°āđāļĒāļāļāđāļāļĒāđāļēāļāļāļļāđāļĄāļāđāļē.
- āļāļąāļāļāļģāļāļēāļāļāđāļāļĄāļđāļĨ Data āđāļāļĢāļ°āļāļāļāđāļēāļāđ āļāļāļāļāļĢāļīāļĐāļąāļāđāļŦāđāļāļđāļāļāđāļāļāļāļĢāļāļāđāļ§āļ āđāļŦāđāđāļāđāļāļāļąāļāļāļļāļāļąāļ.
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- āļāļ·āđāļāđāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
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- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļŦāļĢāļ·āļāļāļąāļāļāļĩāļāļĢāļīāļŦāļēāļĢāļāļĒāđāļēāļāļāđāļāļĒ 2-5 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļāļāļļāļĢāļāļīāļ Fast Moving Consumer Goods (FMCG).
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļāļāđāļēāļāļāļēāļĢāđāļāđMS OfficeāđāļāļĒāđāļāļāļēāļ° Excel āļāļąāđāļāļŠāļđāļ, Power Point, Power BI, SQL.
Skills:
Statistical Analysis, Data Analysis, Data Warehousing, English
Job type:
Full-time
Salary:
negotiable
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- āļāļąāļāļāļģāļāđāļāļĄāļđāļĨāļĢāļēāļĒāļāļēāļāļāļĨāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāđāļēāļĒāļāļēāļĒāđāļĨāļ°āļāđāļēāļĒ Customer Management.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļŠāļēāļāļē āđāļĨāļ°āļŠāļģāļāļąāļāļŠāļēāļĢāļŠāļāđāļāļĻ āđāļāļ·āđāļāļāļąāļāļāļēāļĢāļ°āļāļāļāđāļāļĄāļđāļĨ.
- āļāļīāļāļāļēāļĄ āļāļĢāļ°āļĄāļ§āļĨāļāļĨ āļāļēāļĢāđāļāđāļāđāļāļĄāļđāļĨāļāļēāļāļĢāļ°āļāļāļāļĨāļąāļāļāđāļāļĄāļđāļĨ (Data Warehouse) āđāļĨāļ°āļāļąāļāļāļēāļāļēāļāļāđāļāļĄāļđāļĨāļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļ.
- āļāļēāļĢāļāļąāļāļāļģ Template āđāļāļ·āđāļāļāļąāļāđāļāđāļāļāļēāļāļāđāļāļĄāļđāļĨāđāļāđāļēāļĢāļ°āļāļ BMS, PAM, BSS, VSA, HAS āļŊāļĨāļŊ āđāļĨāļ°āļāļģāļāđāļāļĄāļđāļĨāđāļāđāļāđāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļāļąāļāļāļēāļĢāļ°āļāļāļāļēāļĢāļāļąāļāđāļāđāļāļāđāļāļĄāļđāļĨ/āļĢāļ°āļāļāļāļēāļĢāļāļģāļāļēāļāđāļāļĒāđāļāđāļāļĢāļ°āđāļĒāļāļāđāļāļēāļāļĢāļ°āļāļāļŠāļēāļĢāļŠāļāđāļāļĻāđāļŦāđāđāļāļīāļāļāļĢāļ°āđāļĒāļāļāđāļŠāļđāļāļŠāļļāļ.
- Job Qualification.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ: Microsoft Office; Word,Power Point, āđāļāļĒāđāļāļāļēāļ° Excel āļāļąāđāļāļŠāļđāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļāļąāļ§āđāļĨāļāđāļĨāļ°āļŠāļāļīāļāļī.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāļāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļīāļāļāļĢāļīāļĄāļēāļ āļāļēāļĢāļ§āļēāļāđāļāļāđāļĨāļ°āļāļēāļĢāļāļąāļāļāļēāļĢāļāļĒāđāļēāļāđāļāđāļāļĢāļ°āļāļāđāļĨāļ°āļĄāļĩāļĄāļēāļāļĢāļāļēāļāđāļāļāļēāļĢāļāļģāļāļēāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļīāļāļāļēāļĄāļāļĨāļāļēāļāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāđāļāļĢāļāļēāļāđāļāļĢāļāļāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
Skills:
Assurance, Data Analysis, English
Job type:
Full-time
Salary:
negotiable
- āļāļąāļāļāļģāđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļĢāļēāļĒāđāļāđ Enterprise Service āđāļāļ·āđāļāđāļŦāđāđāļŦāđāļāļāļķāļāđāļāļ§āđāļāđāļĄāļāļāļ Product and Service āđāļ AIS Group āđāļāļ·āđāļāđāļŦāđāļĄāļąāđāļāđāļāđāļāđāļ§āđāļē āļāļēāļĢāļāļąāļāđāļāđāļāļĢāļēāļĒāđāļāđ, Promotion Package and New Service āļāļĩāđāđāļāļīāļāļāļķāđāļ āļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļāđāļāđāļāļĒāđāļēāļāļāļđāļāļāđāļāļāļāļĢāļāļāđāļ§āļ āđāļāđāļāđāļāļāļēāļĄ Business Condition āļāļĩāđāļāļĢāļīāļĐāļąāļāļāļģāļŦāļāļ.
- āļŦāļēāđāļāļ§āļāļēāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļ āļāļģāļŦāļāļ QA āļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄ āđāļāļ·āđāļāļĨāļāļāļēāļĢāļŠāļđāļāđāļŠāļĩāļĒāļāļāļāļĢāļēāļĒāđāļāđ āļĨāļāļāļ§āļēāļĄāļāļīāļāļāļĨāļēāļāļāļĩāđāļāļēāļāđāļāļīāļāļāļķāđāļāđāļāļāļēāļĢāļāļģāļāļēāļ āļāļāļ Line Operation āđāļĨāļ° Share knowledge āļāļąāļāļāļĨāđāļēāļ§āđāļāļ·āđāļāđāļāđāļāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāđāļŦāđāđāļāļīāļ Revenue Assurance āļāļĩāđāđāļāđāļĄāđāļāđāļ.
- āļāļĢāļ§āļāļŠāļāļāļāļ§āļēāļĄāļāļĢāļāļāđāļ§āļ āļāļđāļāļāđāļāļāļāļāļāļāļēāļĢāļāļģāļāļ§āļāļāđāļēāļāļĢāļīāļāļēāļĢ / Promotion Package /Offering āļāđāļēāļāđ āļŠāļģāļŦāļĢāļąāļāļĨāļđāļāļāđāļēāđāļāļāļĨāļļāđāļĄāļāļāļāđāļāļĢ.
- āļŠāļāļāļāļēāļ āļāļēāļĢāļāļģāļāļ§āļāļāđāļēāļāļĢāļīāļāļēāļĢ Postpaid Voice and IDD, IR Service āđāļāļĢāļ°āļāļ RBM āļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāđāļāļĒāđāļēāļāļāļđāļāļāđāļāļāļāļĢāļāļāđāļ§āļ āļāļĢāļāļāļēāļĄāļāļąāļāļĢāļē āđāļĨāļ°āđāļāļ·āđāļāļāđāļāļāļĩāđāļāļĢāļīāļĐāļąāļāļāļģāļŦāļāļ āļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāđāļāļĒāđāļēāļāļāļđāļāļāđāļāļāļāļĢāļāļāđāļ§āļ āđāļĄāđāļĄāļĩāļŠāļīāđāļāļāļīāļāļāļāļāļīāļāļĩāđāļŠāđāļāļāļĨāļāđāļāļāļēāļĢāļŠāļđāļāđāļŠāļĩāļĒāļāļāļāļĢāļēāļĒāđāļāđāđāļāļĢāļđāļāđāļāļ Real Loss /Opportunity Loss.
- āļāļīāļāļāđāļ āļāļĢāļ°āļŠāļēāļāļāļēāļ āđāļĨāļ° āļāļīāļāļāļēāļĄāļāļĨ āđāļĄāļ·āđāļāļāļāļŠāļīāđāļāļāļīāļāļāļāļāļīāļāļĩāđāļĄāļĩāļāļĨāļāđāļāļāļēāļĢāļŠāļđāļāđāļŠāļĩāļĒāļĢāļēāļĒāđāļāđ āļāļģāđāļāļīāļāļāļēāļĢāļŦāļēāļŠāļēāđāļŦāļāļļāļāļāļāļŠāļīāđāļāļāļīāļāļāļāļāļīāļāļĩāđāđāļāļīāļāļāļķāđāļ āđāļĨāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļāđāļāļĒāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļŦāđāļāļģāđāļāļīāļāļāļēāļĢāđāļāđāđāļ āđāļāļ·āđāļāļāđāļ§āļĒāļĨāļāļāļēāļĢāļŠāļđāļāđāļŠāļĩāļĒāļāļāļāļĢāļēāļĒāđāļāđ (Voice service).
- āļāļģāļāđāļāļĄāļđāļĨ āļāļēāļāđāļŦāļĨāđāļāļāđāļēāļāđāļāļĩāđāļāļĒāļđāđāđāļ Scope āļāļēāļāļāļĩāđāļāļāļĢāļąāļāļāļīāļāļāļāļāļĄāļēāļāļģāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļāļĒāđāļāđ Data Analytic skills āļŠāļ°āļāđāļāļāđāļŦāđāđāļŦāđāļāļāļķāļ āđāļāļ§āđāļāđāļĄ, āļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļ, āļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļĨāļ°āļāļĢāļ°āļŠāļīāļāļāļīāļāļĨ āļāļāļ Product and Service āđāļĨāļ°āļāđāļāļŦāļēāļŠāļīāđāļāļāļīāļāļāļāļāļīāļāļĩāđāļāļēāļāļŠāđāļāļāļĨāļāđāļāļāļēāļĢāļŠāļđāļāđāļŠāļĩāļĒāļāļāļāļĢāļēāļĒāđāļāđāđāļāļĢāļđāļāđāļāļ Real Loss/Opportunity Loss & Fraud āļāļĢāđāļāļĄāļāļģāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāđāļĨāļ° Monitor āļāļąāļāļāļģ Analysis Report āđāļāļ·āđāļāđāļāđāļāļāđāļāļĄāļđāļĨ Support Management āđāļāļāļēāļĢāļ§āļēāļāļāļĨāļĒāļļāļāļāđ āđāļĨāļ° āļāļĢāļ°āđāļĄāļīāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļāļāđāļēāļāļāđāļēāļāđ.
- āļāļāļīāļāļąāļāļīāļāļēāļāļāļ·āđāļ āđ āļāļēāļĄāļāļĩāđāļāļđāđāļāļąāļāļāļąāļāļāļąāļāļāļēāļĄāļāļāļŦāļĄāļēāļĒ.
Experience:
5 years required
Skills:
ETL, Data Analysis, SQL, English
Job type:
Full-time
Salary:
āļŋ70,000 - āļŋ90,000, negotiable
- 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.
Experience:
5 years required
Skills:
Data Analysis, ETL, Data Warehousing, English
Job type:
Full-time
Salary:
negotiable
- Strong analytical and problem-solving skills to identify commercial opportunity.
- Working well in a cross-disciplinary team with different types of stakeholders (IT, Agency, Business, Management).
- Business Development of Data Intelligence for corporate strategy.
- Analyze internal and external data in various aspects to identify threats & opportunities and provide information/report for management or related business unit team to plan activities and strategies.
- Participate in the initiative's development plan of business unit / brand plans and align with corporate strategy, objectives and KPIs.
- Coordinate and consolidate with the related department to implement a project or tracking the project progress and provide corrective supervision if necessary.
- Create and deliver insights report on new ideas to the management team or business units and seek appropriate decisions, directions, and approvals.
- Bachelor s or Master s degree in business or related field of study.
- Minimum 5-8 years Performance Management function / Commercial Analyst roles.
- Experience in corporate/channel/brand/segment strategy.
- Experience working in Data Analytic related projects.
- Excellent analytical and problem-solving skills.
- Ability to apply logical and creative thinking to solve complex business problems.
- Ability to define the problems and frame answers in a logical and structured manner.
- Good project management, team leadership and sense of ownership.
- Good co-ordination skill with positive attitude and ability to work under pressure.
- Strong communications, customer relationship and negotiation skills.
- Good command of both written and spoken English.
- Basic understanding of data ecosystem, Advanced skills in dashboard and BI tools.
- Conceptual knowledge of data and analytics, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
Experience:
5 years required
Skills:
Big Data, ETL, Cloud Computing, English
Job type:
Full-time
Salary:
negotiable
- Design end-to-end big data architectures and solutions on cloud platforms (e.g., Azure, GCP) to meet business requirements and scalability needs.
- Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand data-related needs and translate them into technical solutions.
- Provide expert guidance and consultation to clients on best practices in cloud data architecture, data integration, data warehousing, and data governance.
- Lead the planning, design, and implementation of data pipelines, ETL processes, and data lakes, ensuring optimal data quality, security, and performance.
- Evaluate and select appropriate technologies, tools, and frameworks to optimize data processing and analysis in a cloud environment.
- Conduct performance tuning and optimization of big data solutions to ensure high-speed data processing and real-time analytics.
- Stay up-to-date with industry trends, emerging technologies, and best practices in cloud computing and big data to continuously enhance the organization's data architecture capabilities.
- Mentor and guide junior team members, fostering skill development and knowledge sharing within the team.
- Collaborate with sales and business development teams to assist in pre-sales activities, such as solution architecture design, proposal development, and client presentations.
- Provide thought leadership through presentations, workshops, and industry conferences.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
- Minimum of 5 years of experience in designing and implementing big data solutions with a focus on cloud data architecture.
- Proven experience with cloud platforms such as Azure, or GCP, including services like Azure Data Lake, Big Query etc.
- Strong proficiency in programming languages such as Python, Java, Scala, or similar languages for data processing and manipulation.
Skills:
Financial Reporting, Data Analysis, English
Job type:
Full-time
Salary:
negotiable
- āļāļąāļāļāļģāđāļāļĢāļĩāļĒāļāđāļāļĩāļĒāļāļĒāļāļāļāļēāļĒāļāļāļāļŠāļēāļĒāļāļēāļāļāļēāļĒāļāļāļāđāļāļĢāļ.
- āļāļąāļāļāļģāļāļēāļāļāđāļāļĄāļđāļĨāļāļļāļāļĢāļ°āļāļ āđāļāđāļ VSMS, HOS āļŊāļĨāļŊ.
- āļāļĢāļ§āļāļŠāļāļāļāļīāļāļāļĢāļĢāļĄāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒ.
- āļāļąāļāļāļģāđāļĨāļ°āđāļāļĢāļĩāļĒāļāđāļāļĩāļĒāļāļāđāļāļĄāļđāļĨāļāļđāđāđāļāđāļāļāļēāļāļĢāļēāļĒāļāļēāļāļāļāļāļŠāļēāļĒāļāļēāļāļāļēāļĒāļāļāļāđāļāļĢāļāđāļāļ·āđāļāđāļāđāļāļāđāļāļĄāļđāļĨāđāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢ.
- āļāļąāļāļāļģāļāđāļāļĄāļđāļĨāļāļēāļĢāļāļĢāļ°āļāļēāļĒāļŠāļīāļāļāđāļēāđāļāđāļēāļĢāđāļēāļāļāđāļē.
- āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāļāļāļĢāļ°āļĄāļēāļāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒāđāļāļĢāļĩāļĒāļāđāļāļĩāļĒāļāđāļāđāļāļĢāļīāļ.
- āļāļąāļāđāļāđāļāđāļāļāļŠāļēāļĢāļāđāļēāļ āđ āđāļāđāļ āļŠāļąāļāļāļē Lock Out,āđāļāļīāļĄāļāļąāļāļĒāļāļ.
- āļĢāđāļ§āļĄāļāļąāļāļāļģāļāļāļāļĢāļ°āļĄāļēāļāļĒāļāļāļāļēāļĒ,āļāđāļēāđāļāđāļāđāļēāļĒ.
- āļāļąāļāļāļģāļāđāļāļĄāļđāļĨāļāļĢāļ°āļāļāļāđāļāļīāļāļāļđāļāđāļ.
- āļāļąāļāļāļģāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĢāđāļ§āļĄāļāļąāļāļāļģāļāļāļāļĢāļ°āļĄāļēāļāļāļēāļĒ,āļāđāļēāđāļāđāļāđāļēāļĒ,āļāļģāļĨāļąāļāļāļ āđāļĨāļ° āļāļĢāļąāļāļĒāđāļŠāļīāļ.
- āļāļīāļāļāļēāļĄāđāļĨāļ°āļĢāļēāļĒāļāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļĢāļĩāļĒāļāđāļāļĩāļĒāļāļāļāļāļĢāļ°āļĄāļēāļāļāļāļāđāļāļāļāļēāļĢāļāļēāļĒāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļāđāļŦāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- Job Qualification.
- āļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāļļāļĢāļāļīāļāļāļĢāļ°āđāļ āļāđāļāļĢāļ·āđāļāļāļāļ·āđāļĄāđāļāļĨāļāļāļŪāļāļĨāđāđāļĨāļ°āđāļĄāđāļĄāļĩāđāļāļĨāļāļāļŪāļāļĨāđ āļŠāļ āļēāļāļāļēāļāļāļēāļĢāļāļĨāļēāļ āļāđāļāļāļāļēāļ āļāļēāļĢāļāļąāļāļāļģāļŦāļāđāļēāļĒ āļĢāļ§āļĄāļāļąāđāļāļāļąāļāļāļąāļĒāļāđāļēāļ āđ āļāļĩāđāļĄāļĩāļāļīāļāļāļīāļāļĨāļāđāļāļāļđāđāļĄāļĩāļŠāđāļ§āļāđāļāđāļŠāđāļ§āļāđāļŠāļĩāļĒ (Stakeholder) āđāļāļāļļāļĢāļāļīāļāđāļāļĢāļ·āđāļāļāļāļ·āđāļĄāđāļāđāļāļāļĒāđāļēāļāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļāđāļĢāļ·āđāļāļ Fast Moving Consumer Goods (FMCG) āļāļēāļĢāļāļąāļ Shelf Display, Space & Facility Management.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāļēāļĢāļāļĨāļąāļāļāļąāļāļĒāļāļāļāļēāļĒāļāđāļ§āļĒāļāļīāļāļāļĢāļĢāļĄāļāļēāļāļāļēāļĢāļāļĨāļēāļ (Sales Drivers Programs) āđāļāđāļāđāļĨāļ°āļāđāļāļāļāļēāļāļāļēāļĢāļāļąāļāļāļģāļŦāļāđāļēāļĒāļāļāļāđāļāđāļĨāļ°āļāļĨāļīāļāļ āļąāļāļāđ āđāļāļ·āđāļāļāļāļāļŠāļāļāļāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļāļāļĨāļđāļāļāđāļēāđāļĨāļ°āļāļđāđāļāļĢāļīāđāļ āļ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāļļāļĢāļāļīāļāļŠāļīāļāļāđāļē (Commercially Astute) āđāļĨāļ°āļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļ āļēāļāļĢāļ§āļĄāļāļķāļāļāļĨāļāļĢāļ°āļāļāļāļāļāđāļāļāļāļēāļāļāđāļēāļ āđ āļāđāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļĢāļāļāļāļāļļāļĢāļāļīāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļĢāļąāļāļĒāđāļŠāļīāļ āļŠāļ āļēāļāđāļ§āļāļĨāđāļāļĄāļāļāļāļāļĨāļēāļāđāļāļĢāļ·āđāļāļāļāļ·āđāļĄ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļĢāļāļŠāļĢāđāļēāļāļāļāļāļĢāļ°āļāļāļāļēāļĢāļāļąāļāļāļģāļŦāļāđāļēāļĒāđāļĨāļ°āļāļąāļāļāļąāļĒāļāļĢāļ°āļāļļāđāļāļāļēāļĢāļāļēāļĒ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļĨāļ°āđāļŦāđāļāļ§āļēāļĄāļŠāļģāļāļąāļāļāļąāļāļāļēāļĢāđāļāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļ§āļēāļāđāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļāđāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāļąāļ§āđāļĨāļāđāļāđāļāļīāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļ·āđāļāļŠāļĢāđāļēāļāļāļ§āļēāļĄāđāļāđāđāļāļĢāļĩāļĒāļāļāļēāļāļāļēāļĢāđāļāđāļāļāļąāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļ§āļēāļāđāļāļ āļāļēāļĢāļāļąāļāļāļēāļĢ āđāļĨāļ°āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļīāļāđāļŦāļāļļāļāļĨ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļĨāļ°āļāļ§āļēāļĄāļĢāļđāđāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāđāđāļāļĢāđāļāļĢāļĄāļāđāļēāļ āđ āđāļāđāļ MS Office Excel āļāļąāđāļāļŠāļđāļ, Pivot Table āļŊāļĨāļŊ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļāļąāļāļŠāļīāļāđāļ āđāļĨāļ°āļāļēāļĢāļāļāļīāļāļąāļāļīāļāļĩāđāđāļāđāļāļāļĨāļĨāļąāļāļāđāļāļāļāļāļēāļ.
- āļĄāļĩāļāļ§āļēāļĄāļāļīāļāļŠāļĢāđāļēāļāļŠāļĢāļĢāļāđāđāļāđāļāļīāļāļāļąāļāļāļēāļĻāļąāļāļĒāļ āļēāļ.
- āļĄāļĩāļĄāļāļļāļĐāļĒāļŠāļąāļĄāļāļąāļāļāđ āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āđāļĨāļ°āļāļēāļĢāļāļīāļāļāđāļāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļĩāđāļāļĩāļāļąāđāļāļ āļēāļĒāđāļāđāļĨāļ°āļ āļēāļĒāļāļāļāļāļāļāđāļāļĢ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļāļŠāļđāļ āļāļ·āđāļāļŠāļąāļāļĒāđ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāļāļąāļāļŦāļēāđāļāļāļēāļ°āļŦāļāđāļē āđāļĨāļ°āļāļģāļāļēāļāđāļāļŠāļ āļēāļ§āļ°āļāļ§āļēāļĄāļāļāļāļąāļāđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ.
Skills:
Database Development, Business Statistics / Analysis, English
Job type:
Full-time
Salary:
negotiable
- Perform bank structure data update to ensure the information is updated as well as increase data accuracy for stakeholder confident to bring the data for work.
- Perform BA structure data update to ensure the information is updated,
- initiate tools/portal for updating BA seller movement to improve efficiency
- and timeliness.
- Lead to communicate with stakeholder when happen any errors of structure data as well as act as data owner to update and inform stakeholder after data correction.
- Identify structure data and define data verification to clear the issue of data, initiate lean thinking to increase quality of data and based on regulation.
Experience:
5 years required
Skills:
Product Development, Market Analysis, Quality Assurance, English
Job type:
Full-time
Salary:
āļŋ70,000 - āļŋ95,000, negotiable
- Develop a deep understanding of market trends, customer needs, and competitive landscape to shape the product strategy for network, SD-WAN, network security, and WiFi solutions.
- Define product roadmaps, features, and enhancements based on strategic goals and customer feedback.
- Collaborate with internal stakeholders to align product plans with overall business objectives.
- Lead the end-to-end product development process, from concept to launch, ensuring products are delivered on time and within budget. Work closely with cross-functional teams to translate product requirements into technical specifications for engineering teams. Conduct regular reviews of product development progress, identify bottlenecks, and implement solutions to ensure timely delivery.
- Stay current with industry advancements, emerging technologies, and best practices in network, SD-WAN, network security, and WiFi domains. Drive innovation by proposing and evaluating new features, technologies, and approaches to enhance product offerings.
- Foster effective collaboration between engineering, marketing, sales, and customer support teams to ensure alignment and successful product launches.
- Oversee quality assurance and testing processes to ensure that products meet high standards of reliability, security, and performance. Collaborate with testing teams to identify and resolve product issues in a timely manner.
- Conduct market analysis and gather customer insights to identify new opportunities for product enhancements or new offerings. Utilize customer feedback and data to refine existing products and guide future development efforts.
- Bachelor's degree in Computer Science, Engineering, Business, or related field (Master's degree preferred).
- 5-10 years of experience in product management or product development roles within the network, SD-WAN, network security, or WiFi domains.
- Strong technical background with a proven track record of delivering successful products in complex technology environments.
- Excellent project management skills, including the ability to prioritize tasks, manage schedules, and lead cross-functional teams.
- Exceptional analytical and problem-solving abilities, with a data-driven approach to decision-making.
- Outstanding communication and interpersonal skills, with the ability to effectively collaborate with both technical and non-technical teams.
- Demonstrated ability to drive innovation and stay current with industry trends and emerging technologies.
- Relevant certifications (e.g., CCNA, CCNP, CISSP, CEH, CISSP, CISM, CCSP, CWS) are a plus.
- Experience with agile development methodologies is highly desirable.
- English Professional Working Proficiency is required. (This position reports to an expat manager.).
- Why Join Us:
- Opportunity to play a critical role in shaping the future of Enterprise Data Services.
- Work in a collaborative and dynamic environment that encourages innovation and professional growth.
- Be part of a company committed to delivering top-tier solutions to clients worldwide.
Skills:
Negotiation, Excel
Job type:
Full-time
Salary:
negotiable
- To analyze store performance on a daily basis and identify action needed in each store.
- To forecast P&L landing report on a weekly basis.
- To analyze and point out any financial decision taken.
- To analyze high performance items and low performance items with action plan needed.
- To analyze store OOS and formulate action plan.
- To analyze project implementation timeline and performance.
- To coordinate with food place buying team for new supplier registration.
- To follow up and ensure format strategy and store strategy have been implemented on time.
- To support SGM managing the assigned store to meet store target both financial aspects and operational standard aspects (Store Appearance, Product variety, etc.).
- To support SGM responsible for store operations and sales activities in term of communication with HO support departments, (bringing up store request, bringing back information, proposal).
- To support SGM controlling inventory throughout assigned store to maximize in stock conditions while minimizing back stock.
- Over 1 year s work experience.
- Strong analytical skill.
- Bachelor / Master Degree.
- Strong analytical skill, creative problem-solving, Growth mindset, Negotiation, fix the problem, recommendations and presentations.
- Excellent knowledge of MS Excel, PowerPoint, MS Word.
Skills:
Data Analysis, Business Development, English
Job type:
Full-time
Salary:
negotiable
- To build and maintain the information and forecasting system in order to support the company business development.
- To analyze data from various sources and system to develop dashboard for management.
- To identify, share and analyze market trends and changes.
- To develop Market Insight update platform for sharing with various departments of the organization.
- To provide business analysis data and benchmark of key principals to internal and external stakeholders.
- Help managing assigned projects in business development, customer management or any assign by supervise.
- Manage, monitor, and evaluate performance of subordinates to ensure achievement.
- Deliver updates to stakeholders based on analytics.
- Should have good experience in the application of standard software development principles.
- Should be able to work as an independent team member, capable of applying judgment to plan and execute tasks.
- Should also be able to coach, guide and mentor junior members in the team.
Skills:
Microsoft Office, Excel
Job type:
Full-time
Salary:
negotiable
- Control process of supplied and item registration in System are ready for business and measure and monitor all data entered to ensure efficient, accuracy within timeline.
- Ability to develop or simplify workflow process, tools, IM form plus analysis and present/suggest to business improvement basic process and how to use IM Form to buyers for basis requirement to set up in System.
- Coaching and planning direction to team members on efficient, timely completion of t ...
- Providing support for solving daily problems or emergency issues including new business requirements.
- Job Qualifications:
- Bachelor degree of Computer Science, Data Science, Supply Chain Management or Relate filed.
- Have experience 7-10 Years of Data Management, Data Analytics, Data Maintenance,.
- At least 5 years experience in Retails or Wholesale Business.
- Have experience in Item Maintenance, SRD (Space Range Design) would be advantage.
- Strong leadership skills.
- Good analytical & logical thinking, planning, coordination and service minded.
- Proficient in Microsoft Office tools, ** Advanced MS Excel and MS
- Access (VBA) will be advantage **.
Experience:
5 years required
Skills:
Data Analysis, ETL, English
Job type:
Full-time
Salary:
negotiable
- 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 visualisation 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.
- Language: English and Mandarin(a plus).
- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļĩāđāļāļģāđāļāđāļ.
- 5 āļāļĩ.
- āļĢāļ°āļāļąāļāļāļģāđāļŦāļāđāļāļāļēāļ.
- āļĢāļ°āļāļąāļāļŦāļąāļ§āļŦāļāđāļēāļāļēāļ.
- āļŠāļēāļĒāļāļēāļ.
- āļāļąāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđ.
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Experience:
4 years required
Skills:
Data Analysis, English
Job type:
Full-time
Salary:
negotiable
- Identify opportunities for process improvement and propose innovative solutions.
- Collaborate with stakeholders to define business requirements and translate them into functional specifications.
- Conduct data analysis to identify trends and insights that drive business decisions.
- Facilitate workshops and meetings to gather requirements and ensure alignment.
- Develop and maintain process documentation and standard operating procedures.
- Job Qualifications:
- Bachelor s degree in Finance, Accounting, Business Administration, or a related field with a minimum of 4 years of experience in Finance related roles.
- Background or experience in Risk (Enterprise/Financial) and Data is a PLUS.
- Proven track record of success in analyzing financial performance, developing financial strategies, and enhancing enterprise value.
- Strong understanding of financial principles, accounting standards, financial modeling techniques, and digital finance solutions (FinTech, Cloud ERP).
- Excellent analytical and problem-solving skills.
- Background with process transition, knowledge transfer, process reengineering, and shared services operating model design and implementation.
Skills:
Research, Tableau, Excel
Job type:
Full-time
Salary:
negotiable
- Produce and distribute a daily, weekly and monthly marketing performance dashboard and provide insights or recommendations.
- Monitor and forecast marketing and sales trends.
- Analyze marketing performance to evaluate the effectiveness of campaigns, understand strengths and weaknesses, and offer actionable insights for Financial, Retail, and Payment Services team. Identify strengths and gaps, and provide actionable recommendations to enhance future campaigns.
- Develop and support marketing plans aimed at driving growth in retail services, including sales, transactions, retail income,
- and customer loyalty.
- Work closely with Service/Product owners to design Campaigns and modify KPIs as well as boost new sales and
- transaction growth of NSD Services.
- Customer insight and research, review of competitors and market trend.
- Work with IT to develop Business Intelligent tool and database to support New Service Development Division.
- Campaigns pre and post-performance evaluation, analysis and KPI review reporting.
- Do data cleansing of many sources of data /report consolidation before doing analysis.
- Training a team to effectively use Tableau or other reporting tools, enhancing their ability to make data-driven decisions
- and contribute to business growth.
- Job Qualifications:
- Bachelor s or Master s Degree in Business Administration (Marketing) or related field.
- at least 3-5 years in Promotion campaign performance evaluation / Customer Behavior Analysis preferable with experience in Retail business.
- Have Marketing Information System on customer database management is a plus.
- Have experience in Marketing and promotional campaign planning preferable with Retailer marketing experience.
- Should have strong analytical skills and advance skills in Microsoft Excel, Access or BI tool such as Tableau background.
- Have Experience working collaborative environment.
- Drive to success and interpersonal skills.
- Be able to handle multi-tasks/projects.
- Can Work under pressure and meeting time line.
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