เงื่อนไขการค้นหา

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Tableau, Big Data, SQL

ประเภทงาน:

งานประจำ

• Able work with data user for implementing and developing the data analyze to actionable insight.
• Gathering, understanding and analyzing detailed of business requirements by using appropriate tools and techniques.
• Creating, monitoring and reviewing the data dashboard/report.
• Experience using business intelligence tools or data visualization tool (e.g. Tableau).
• Able to analyze trends and patterns for solving problems of business insight in big data by working with business user and data scientist/data engineer.
• Proficient in using SQL languages.
• Excellent in Microsoft Excel (e.g. Pivot table, vlookup) and Power Point.
• Designing and reviewing the test cases including the campaign designs.
• Having a business mind and detail oriented.
• Recruiter Atitaya Dechpan (อทิตยา เดชปาน)

ทักษะ:

Industrial Engineering, Finance, Project Management

ประเภทงาน:

งานประจำ

• Work closely with senior management team to develop initiatives on operations efficiency through innovation, process improvement and retail productivity.
• Apply deep knowledge of trend, financial data, process standard and translate into actionable insight.
• Plan and develop report / presentation to support project for trial and roll out.
• Lead, collaborate and facilitate stakeholders across the business to ensure joined up approach and achieve targets together with process and budget owners.
• Track and updated project process on a regular basis, ensure the project is able to achieve milestone. Including develop mitigation plan for any critical issues occurred.
• Track/create business metrics & Key Performance Indicators (KPIs) dashboard.
• Support initiatives for data integrity and create best practice reports based on data mining, analysis and visualization.
• Train end users on new reports and dashboards to continually drive efficiencies.
• Ability to present information to stakeholders and provide initial consultation / solution.
• 2-5 years+ working experience in Data Analytics, Process Improvement.
• Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
• Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.).
• Skilled in process improvement, project management, and data analysis.
• Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
• Ability to work independently and under pressure with business-partnering mindset.
• Good presentation, communication and influencing skills.
• Six Sigma Green Belt certification preferred.
• Lotus's
• Ek-Chai Distribution System Co., Ltd.
• 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. .

ทักษะ:

Statistics, Salesforce

ประเภทงาน:

งานประจำ

• จำลองข้อมูลเพื่อแบ่งกลุ่มลูกค้าและเพื่อให้เข้าใจข้อมูลพฤติกรรมเชิงลึกของลูกค้า.
• วิเคราะห์พฤติกรรมผู้บริโภค แทรนด์การตลาด จากข้อมูลภายในและจากคู่แข่ง.
• จัดทำรายงาน (Routine Report) พร้อมทั้งบทวิเคราะห์ เพื่อพัฒนายอดขายและเพื่อให้สามารถบริหารจัดการแคมเปญได้อย่างมีประสิทธิภาพ.
• ประสานงานกับคู่ค้า (Brand Partner) เพื่อสร้าง Partnership Campaign.
• วางแผนและประสานงานกับทุกฝ่ายที่เกี่ยวข้อง ทั้งในและนอกทีม เพื่อให้แคมเปญสำเร็จและเป็นไปตามเป้าหมาย.
• พัฒนาและสำรวจความพึงพอใจของผู้บริโภคให้อยู่ในระดับที่ดีเยี่ยม.
• วุฒิการศึกษาระดับปริญญาตรี / โท BBA, MIS, Data Science, Statistics, Mathematics, Computer Science หรือสาขาอื่นๆที่เกี่ยวข้อง.
• มีประสบการณ์ที่เกี่ยวข้อง 1-3 ปี.
• ชอบเรียนรู้ มีความคิดสร้างสรรค์ ชอบการวิเคราะห์ข้อมูล.
• มีความขยัน มุ่งมั่น กระตือรือร้น มีความรับผิดชอบ.
• มีทัศนคติเชิงบวก และยอมรับฟังความคิดเห็น.
• สามารถทำงานเป็นทีมได้ มีทักษะสื่อสารที่ดี.
• มีความอดทน สามารถทำงานภายใต้ความกดดันได้.
• มีความละเอียดรอบคอบ.
• หากมีประสบการณ์ในการใช้โปรแกรม Salesforce หรือ ระบบอื่นที่คล้ายคลึงกัน การจัดการข้อมูลปริมาณมากจะได้รับการพิจารณาเป็นพิเศษ.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Python, C++

ประเภทงาน:

งานประจำ

• รวบรวมข้อมูลจากแหล่งต่างๆ (Data Collection) และจัดเตรียมข้อมูล.
• วิเคราะห์ข้อมูลและประมวลผลข้อมูลตาม Data Model.
• จัดทำ Visualization แสดงผลของข้อมูล เพื่อนำเสนอสารสนเทศที่สังเคราะห์ได้จากข้อมูล Big Data.
• พัฒนา Data Scince Modle เขียนโปรแกรมเพื่อประมวลผลข้อมูลโดยอัตโนมัติและเชื่อมต่อกับส่วนประกอบอื่นๆ.
• ทดสอบการทำงานของโปรแกรม.
• ประชุมเก็บรวบรวม Business requirement, Process จาก User.
• ปฎิบัติงานอื่นๆ ตามที่ได้รับมอบหมายจากผู้บังคับบัญชา.
• วุฒิการศึกษา ปริญญาตรี หรือ ปริญญาโท.
• จบคณะวิทยาศาสตร์ สาขาคอมพิวเตอร์ หรือที่เกี่ยวข้อง.
• มีประสบการณ์ทำงานอย่างน้อย 2 ปี ในตำแหน่ง System Analyst & design หรือที่เกี่ยวข้อง.
• สามารถวิเคราะห์ระบบตามที่บริษัทกำหนดได้.
• สามารถออกแบบระบบได้.
• มีความรู้ใน Oracle หรือ Microsoft SQL.
• มีความรู้ด้าน Object Oriented Programming เป็นอย่างดี.
• พัฒนาโปรแกรมแบบ Model View Control ได้.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Tableau, Big Data, SQL

ประเภทงาน:

งานประจำ

• Able work with data user for implementing and developing the data analyze to actionable insight.
• Gathering, understanding and analyzing detailed of business requirements by using appropriate tools and techniques.
• Creating, monitoring and reviewing the data dashboard report.
• Experience using business intelligence tools or data visualization tool eg.Tableau.
• Able to analyze trends and patterns for solving problems of business insight in big data by working with business user and data scientist, data engineer.
• Proficient in using SQL languages.
• Excellent in Microsoft Excel eg.Pivot table, vlookup and PowerPoint.
• Designing and reviewing the test cases including the campaign designs.
• Having a business mind and detail oriented.
• Skills Require Programming languages, such as SQL.
• Analytic Tools such as Tableau, SAS VA, Power BI.
• Statistical Knowledge.
• The ability to analyse, model and interpret data.
• A methodical and logical approach.
• The ability to plan work and meet deadlines.
• Accuracy and attention to detail.
• Interpersonal skills.
• Teamworking skills.
• Communication skills such as Story Telling.
• At least 2-3 year of experience with Data Analysis.
• Understanding ofbusiness intelligence, data analyst, big data, Tableau andSQL.
• Understanding of Teleco industry, Customer Value Management.
• Recruiter Supaporn Limsiritong (สุภาภรณ์ ลิมศิริธง), Waritta Kongsab (วริษฐา กองทรัพย์)

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Database Administration, Python, Analytical Thinking, Good Communication Skills, English

ประเภทงาน:

งานประจำ

• Lead and perform end-to-end large-scaled data discovery (e.g., data acquisition, data cleansing, data modelling) together with developing effective algorithms to provide actionable insights leading to business improvement (e.g., operation improvement, value-added services, growth of revenue).
• Conduct and run data experiment to prototype new data innovation ideas, explore a variety of approaches and refine promising ideas into product ready model or new model.
• Manage (prioritize) and support requests on data analysis and data analytic assignments from business units to identify actionable insights and make recommendations for strategic decision making.
• Communicate findings and build buy-in with key stakeholders through business insights finding, data prototyping or innovation demonstration.
• Coach junior data scientists/ data analyst on technical knowledge. Maintain knowledge of data science trends and regularly share knowledge with the team.
• Collaborate with partners to scale data innovations to make business impact.
• Bachelor or Master Degree in Quantitative fields (e.g., Math, Statistics, Engineering, Statistics, Computer Science, Operational Research) or Equivalent industry experience.
• Over 2 years of professional experience in data analytics, data science or data engineering. Proven track records to leveraging data analytics/data science to create business impact.
• Having experience in data science & analytics, data visualization, data architecture, or data engineering, Programming language (Python, R or Matlab), SQL/ NoSQL, Tableau.
• Good at English language.

ทักษะ:

Data Analysis, Power BI, Market Research, English

ประเภทงาน:

งานประจำ

• Data Analysis: Collect, clean, and analyze data from multiple sources such as sales transactions, customer databases, marketing campaigns, and external market data.
• Reporting and Visualization: Develop reports and dashboards to present findings and insights to stakeholders. Visualization tools like Power BI etc. might be used for this purpose.
• Predictive Modeling: Utilize statistical techniques and machine learning algorithms to forecast sales, identify trends, and predict customer behavior. This could involv ...
• Market Research: Conduct market research to understand industry trends, competitor strategies, and customer preferences. This could involve analyzing market data, consumer surveys, and industry reports.
• Mall Performance Tracking: Monitor key performance indicators (KPIs) related to sales, marketing campaigns, pricing strategies, and Mall performance by store. Identify areas of improvement and provide recommendations for optimization.
• Strategic Planning: Collaborate with cross-functional teams to develop and implement commercial strategies based on data insights. This could involve pricing strategies, product positioning, promotional activities, and customer segmentation.
• Continuous Improvement: Stay updated with the latest trends and developments in data analytics, commercial strategies, and industry best practices. Continuously seek opportunities to improve processes and enhance analytical capabilities.
• Bachelors & Master Degree in any fields.
• A through understanding of shopping malls.
• Ability to identify trends and opportunities.
• Financial & Business Acumen.
• Strong analytical, Logical & communication skills.
• Strong Leadership & Influencing skills.
• A thorough understanding of shopping malls.
• 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.
• Lotus's
• Ek-Chai Distribution System Co., Ltd.
• 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. .

ทักษะ:

Budgeting, Compliance, Accounting, 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.
• Reporting:
• 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.
• Forecasting:
• 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.
• Cost Management:
• Monitor and control costs to optimize financial performance.
• Identify areas for cost reduction and efficiency improvement.
• Performance Monitoring:
• 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.
• Process Improvement:
• 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.
• Bachelors & 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.
• A thorough understanding of shopping malls.
• 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.
• Lotus's
• Ek-Chai Distribution System Co., Ltd.
• Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Marketing Strategy, Business Development, English

ประเภทงาน:

งานประจำ

• Create category strategy development & guideline, focusing on pack & place..
• Analyze EPOS sales data, consumer & shopper insight to identify opportunities in maximizing business across existing and new channels..
• Co-Developed innovation launch pack with marketing team since campaign development, financial P&L, channels & activation plan, pack, price, promotion suggestions.
• Ensure On time in full (OTIF) NPD launch into market with readiness in all touchpoints e.g.POSM management, sufficient pipeline volumes planning, on time promotional calendar.
• Provide promotion guideline and rules based on learning from post-evaluation and deliver category objectives..
• Coordinate with cross-functions to implement category plan across channels..
• Evaluate and review implemented marketing activities for developing future plan..
• Ensure Brand standards for channels are adhered to. E.g. consistent use of brand key visuals, customer activation themes aligned with brand activation.
• Ability to collaborate across multiple teams and functions including CD, Marketing, Supply Chain and Finance..
• Develop medium to long term category & channel growth plan utilizing market data to frame +1 Year strategy through Go-to-Market plan (GTM)..
• Bachelor s or master s degree in job related field..
• At least 5 years of trade marketing, category analyst and FMCG environment experiences..
• Experience in beauty industry/company/channel is a plus..
• Candidate from market research also welcome to apply..
• Ability to analyze large amounts of data..
• Excellent in English and Thai..
• Good in presentation and negotiation..
• Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their Whole Self to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Data Analysis, Project Management, English

ประเภทงาน:

งานประจำ

• Create category strategy development & guideline, focusing on pack & place..
• Analyze EPOS sales data, consumer & shopper insight to identify opportunities in maximizing business across existing and new channels..
• Co-Developed innovation launch pack with marketing team since campaign development, financial P&L, channels & activation plan, pack, price, promotion suggestions.
• Ensure On time in full (OTIF) NPD launch into market with readiness in all touchpoints e.g. POSM management, sufficient pipeline volumes planning, on time promotional calendar.
• Provide promotion guideline and rules based on learning from post-evaluation and deliver category objectives..
• Coordinate with cross-functions to implement category plan across channels..
• Evaluate and review implemented marketing activities for developing future plan..
• Ensure Brand standards for channels are adhered to. E.g. consistent use of brand key visuals, customer activation themes aligned with brand activation.
• Ability to collaborate across multiple teams and functions including CD, Marketing, Supply Chain and Finance..
• Develop medium to long term category & channel growth plan utilizing market data to frame +1 Year strategy through Go-to-Market plan (GTM).
• Bachelor s or master s degree in job related field..
• At least 5 years of trade marketing, category analyst, commercial finance and FMCG environment experiences..
• Experience in beauty industry/company/channel is a plus..
• Candidate from market research also welcome to apply..
• Ability to analyze large amounts of data..
• Excellent in English and Thai..
• Good in presentation and negotiation..
• Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their Whole Self to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.

ทักษะ:

Problem Solving, Finance, Statistics

ประเภทงาน:

งานประจำ

• Use our rich data warehouse and your problem solving skills to support Business Managers answer tricky questions about Customer Growth, Product adoption, and User behaviour etc.
• Find insights that help us understand how customers interact with our Transaction Products, using the large data sets we now have at our disposal (Stripe payment data, Demand Performance data, SM proprietary data on hotel bookings and product usage, Customer data, etc.). The team needs you to be creative in your usage and interpretati ...
• Suggest and run experiments that will move the metrics that matter: we want you to be the missing link between our Strategy teams & our Product teams and address questions that will drive business growth.
• Partner with our Business Managers and product teams to build, improve and maintain dashboards that track the health and growth of our customer base.
• Collaborate with Business Managers and Marketing teams to drive analysis and impact measurement for various growth campaigns utilising tools such as HighTouch, Intercom, Heap, etc.
• Support leadership on analysis required to drive key meetings (Monthly Reviews, Performance reporting sessions, etc.).
• Be a champion for data-driven decision making, analytics.
• Own & maintain your projects, data models, dashboards, and use tools like Confluence, Google Drive, etc. proficiently to document and share your work for posterity in a fast-paced environment.
• Too general for you? No worries, here are a couple of pointers on how you bring value Explore usage patterns for Siteminder Pay customers to identify our best and worst users, and find ways to re-engage lapsed customers + drive adoption of the product.
• Partner with Business Managers to design, build and productionize a SM Pay, Demand and GDS Product Health scores, using the wealth of data we have at our disposal to quantify how successful customers are at deploying our product within their hotel.
• Revisit regional product pricing and value proposition to boost attachment of the product during the sales process, and optimise product unit economics.
• What you have:
• Professional Experience & Profile.
• 2-4 years proven experience as a Consultant, Data Analyst or a similar analytical role.
• Bachelor's degree in Business, Finance, Statistics, Data science, Engineering or a related quant field. A Master's degree is a plus.
• You are a self starter with high energy and a proven ability to roll up your sleeves to get things done.
• You have experience optimising customer journeys, and running data-driven experiments to increase customer lifecycle value (churn, revenue, etc.).
• You are a team player with a humble attitude, you can give and take criticism.
• You have experience collaborating with business leaders to support strong data-led decision making.
• You have excellent communication skills and the ability to translate complicated technical analysis into compelling narratives that can be used to influence senior leaders.
• You have a keen eye for detail, a critical mind, and the ability to prioritise tasks and manage multiple projects simultaneously.
• You enjoy analysing business drivers and levers, getting deep into the data, using first principles thinking, and consistently delivering great results.
• Knowledge of the software industry or hospitality sector is advantageous but not essential.
• Analysis & Technical skills You have experience extracting, manipulating and interpreting data using SQL (Snowflake or Databricks experience preferred, but any will do).
• You are handy with data visualisation tools like Tableau or Looker and have a willingness to get better.
• You have experience with Excel and/or Google sheets and are confident analysing data + building models in excel using excel functions (lookups, pivots, formatting, manipulation and transformation, visualisation).
• Bonus: You have experience with Salesforce.
• Bonus: You have experience with Customer Engagement & Marketing automation software like Marketo, Intercom or Salesforce Marketing cloud.
• Bonus: You have experience with ETL or Reverse ETL tools like Fivetran, Hightouch, Census.
• Bonus: You have experience with advanced analytical tools like R, Python.
• Our Perks & BenefitsEquity packages for you to be a part of the SiteMinder journey.
• Hybrid working model (in-office & from home).
• Mental health and well-being initiatives.
• Generous parental (including secondary) leave policy.
• Paid birthday, study and volunteering leave every year.
• Sponsored social clubs, team events, and celebrations.
• Employee Resource Groups (ERG) to help you connect and get involved.
• Investment in your personal growth offering training for your advancement.
• Does this job sound like you? If yes, we'd love for you to be part of our team! Please send a copy of your resume and our Talent Acquisition team will be in touch. When you apply, please tell us the pronouns you use and any adjustments you may need during the interview process. We encourage people from underrepresented groups to apply.
• LI-Hybrid

ทักษะ:

Statistics, Excel, Data Analysis, English

ประเภทงาน:

งานประจำ

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• What you'll Need to Succeed:
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you Have:
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.