เงื่อนไขการค้นหา

ทักษะ:

SQL, Tableau, Power BI, English

ประเภทงาน:

งานประจำ

• Drive Operational Excellence: Understand and drive the proper execution of the HS&E and Quality foundations.
• Own and manage a DMS for the Line.
• Act as a coach for the EO to drive IWS progress, perfect execution of the SWP and improvement of the standards.
• Conduct thorough assessments via RE analysis, touch mapping and weekly Hoshin.
• Propose and implement solutions that streamline processes, eliminate failures, and reduce manual intervention.
• Data management and visualization skills/tools in one or more of the following: Databricks, SQL, KNIME, Tableau, Power BI, JMP/SPSS or similar).
• Facilitate the integration of new digital tools and technologies within the organization.
• Provide training and support to team members on the effective use of digital solutions to ensure widespread adoption.
• Lead initiatives aimed at enhancing the efficiency and effectiveness of digital systems and processes.
• Participate in the yearly loss analysis process, identifying trends and potential areas for improvement.
• Collaborate with stakeholders to define solutions that drive Net Sales (NS) and enhance overall operational performance.
• Collaborate with cross-functional teams to identify and implement best practices in operations.
• Participate in a site Pillar network.
• Job Qualifications.
• Bachelor's degree in Engineering in any field.
• Demonstrated leadership skills with the ability to manage projects and lead cross-functional teams.
• Strong critical thinking and problem-solving abilities.
• Proficiency in digital skills, including familiarity with manufacturing software, data analysis tools, and automation technologies.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team in a fast-paced environment.
• Proficiency in English, both written and spoken.
• Knowledge of Lean Manufacturing, Six Sigma, or other process improvement methodologies is a plus.
• Open for fresh graduates to apply.
• Previous experience in an FMCG manufacturing environment is preferred.
• Able to work in Wellgrow industrial estate (We provide the transportation support).
• About us.
• We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories, and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Downy , Gillette , Head & Shoulders , Herbal Essences , Oral-B , Pampers , Olay , Always , Pantene , Safeguard , SKII , Ambi Pur and more. Our community includes operations in approximately 70 countries worldwide.
• Visit http://www.pg.com to know more.
• We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals based on race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.
• Job Schedule.
• Full time
• Job Number.
• R000144906
• Job Segmentation.
• Entry Level

ทักษะ:

Product Development, Tableau, SQL

ประเภทงาน:

งานประจำ

• Identify valuable data sources and automate collection processes.
• Undertake preprocessing of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modeling.
• Present information using data visualization techniques.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.
• Proven experience as a Data Scientist or Data Analyst.
• Experience in data mining.
• Experience using business intelligence tools (e.g. Tableau).
• Knowledge of SQL and Python.
• Understanding of machine-learning and operations research.
• Analytical mind and business acumen.
• Strong math skills (e.g. statistics).
• Problem-solving aptitude.
• Excellent communication and presentation skills Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN: (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย: (https://krungsri.com/b/privacynoticeth).
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

SQL, Excel, Tableau

ประเภทงาน:

งานประจำ

• Proficiently analyze intricate datasets to identify trends, patterns, and outliers.
• Unearth insightful correlations and present findings in a clear, understandable manner.
• Translate raw data into actionable insights that drive client business objectives.
• Engage with clients to understand their unique business needs and challenges.
• Translate client requirements into comprehensive project scopes and deliverables.
• Foster strong client relationships through effective communication and partnership.
• Leverage your analytical prowess to provide informed recommendations to clients.
• Collaborate with cross-functional teams to implement data-driven strategies.
• Contribute to client success by helping them make informed, growth-oriented decisions.
• Create visually compelling dashboards, reports, and presentations.
• Tailor data visualizations to resonate with both technical and non-technical audiences.
• Communicate complex insights using accessible and engaging visual aids.
• Identify operational inefficiencies within client workflows using data-driven insights.
• Propose process improvements and streamlined solutions to optimize client operations.
• Assist clients in adopting best practices for leveraging data effectively.
• Conduct thorough requirement elicitation sessions with clients.
• Document precise business and technical requirements for successful project execution.
• Ensure clear communication and alignment between stakeholders and technical teams.
• Bachelor s degree in a relevant field (Business, Data Science, etc.).
• Proven 3-5 years of experience as a Business Analyst, Data Analyst, or similar role.
• Proficiency in data analysis tools (SQL, Excel) and data visualization platforms (Tableau, Power BI).
• Strong problem-solving skills and the ability to think critically.
• Excellent communication skills for effective client interaction and team collaboration.
• Detail-oriented approach to ensure accurate and reliable insights.
• Ability to adapt to a fast-paced, dynamic work environment.
• Location: True Digital Park, Bangkok.

ทักษะ:

Excel, Tableau

ประเภทงาน:

งานประจำ

• ออกแบบโครงสร้าง Data Marketing สำหรับ RueJai App.
• กำหนด Data Fields ที่ต้องเก็บ เช่น.
• Behavioral Data (frequency - feature usage, segmentation, customer journey vs purchase).
• Transaction Data (purchase, repurchase).
• Sale performance (lead/ channel/ target/ success rate).
• Campaign Response Data.
• Marketing Data & Analytics.
• จัดเก็บ รวบรวม วิเคราะห์ บริหารข้อมูลการตลาด Transaction และ Presale.
• วิเคราะห์พฤติกรรมการ การใช้งานแอปพลิเคชั่น ซื้อสินค้าและบริการ และข้อมูลตามอายุบ้าน/ คอนโด.
• สร้าง Lead เพื่อการขาย.
• ร่วมวางแผนและกำหนดกลุ่มเป้าหมายสำหรับแคมเปญการตลาด.
• วิเคราะห์ประสิทธิภาพแคมเปญ เช่น Conversion Rate, Engagement Rate, Retention Rate.
• พัฒนาข้อมูลเพื่อสร้าง Dashboard สำหรับติดตาม OKR ของทีม.
• วิเคราะห์โอกาสสร้างรายได้จากบริการภายในแอป.
• Customer Insight & Segmentation.
• วิเคราะห์ Customer Journey ของลูกบ้านแต่ละ Segment (บ้านแนวราบ / คอนโด).
• สร้าง Segmentation Model เช่น.
• High Engagement Residents.
• Service Heavy Users.
• Passive Users.
• สร้าง Predictive Insight เพื่อหา Upsell / Cross-sell Opportunity.
• Campaign Performance & Personalization.
• จัดทำ Insight Report เพื่อสนับสนุนการตัดสินใจเชิงกลยุทธ์ของทีม Marketing.
• ออกแบบ Targeted Campaign ผ่าน Push Notification / In-app Message / Email.
• วิเคราะห์ Conversion Rate, CTR, Engagement Rate.
• Reporting.
• รายงานผลการดำเนินงานประจำเดือน/ไตรมาส.
• รายงาน OKR.
• VU / MAU/ Growth Rate/ Engagement Rate/ Retention Rate.
• Presales/Revenue.
• สรุป Insight ให้ผู้บริหารในเชิงกลยุทธ์ (ไม่ใช่แค่ตัวเลข).
• รายงาน Incentive ให้พนักงานขาย (Incentive per sale/ channel).
• Support Backend RueJai App.
• นำรายละเอียดข้อมูลการขาย แพ็กเกจต่างๆใส่ในระบบ backend app และจัดเก็บข้อมูลอย่างเหมาะสม.
• Skill ที่ควรมี.
• ชอบตัวเลข และการวิเคราะห์ข้อมูล ชอบตั้งคำถามจากข้อมูลที่เห็น.
• Data Analytics (Excel Advanced, Tableau, etc.).
• Strategic Thinking + Business Mindset.
• เป็น Data Analyst ที่เข้าใจ Marketing.
• ปริญญาตรีหรือสูงกว่า สาขาการตลาด บริหารธุรกิจ สถิติ วิทยาการข้อมูล หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Data Analytics / Marketing Analytics / CRM อย่างน้อย 2-3 ปี.
• สมัครงาน โปรดระบุ Expected Salary.
• Co working Space
• ฟิตเนต
• ประกันสังคม / ประกันสุขภาพ / ประกันชีวิต / ประกันอุบัติเหตุ
• กองทุนสำรองเลี้ยงชีพ
• โบนัสประจำปี
• วันลาพักร้อน เมื่อผ่านทดลองงาน
• วันลา Workation
• วันหยุดพิเศษในเดือนเกิด
• ตรวจสุขภาพประจำปี
• เงินช่วยเหลือสมรส / เงินช่วยเหลือฌาปนกิจ.
• การเดินทาง
• BTS: สถานีพหลโยธิน24
• MRT: สถานีพหลโยธิน
• บริการเรียกรถผ่าน App MuvMi.
• ติดตามข่าวสารจาก SC ASSET ได้ที่
• http://insidesc.scasset.com/.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Business Development, Financial Reporting, Finance, English

ประเภทงาน:

งานประจำ

• Assist a director in carrying out valuation engagements.
• Manage teams, projects and clients on a day to day basis.
• Provide support to junior team members (senior associates/associates) in guiding and reviewing their work outputs.
• Present valuation findings internally and externally to clients.
• Build a network around your peer group internally within PwC and externally.
• Assist partners/directors in external and internal business development.
• Coaching junior staff in a mix of technical valuations skills, industry knowledge and soft skills.
• Assist and take part in various internal initiatives to assist the partners/directors in delivering those initiatives - (such as digitalization, industry specialization, value creation etc).
• Essential Skills and Experience.
• Min 7 years of previous commercial, client-facing valuation work experience and in-depth technical and commercial knowledge of valuation concepts.
• Direct involvement in delivering and managing valuation engagements is a key requirement for applying for this position.
• Experience of carrying out valuations for different purposes (M&A transactions, financial reporting etc.).
• Previous experience with Purchase Price Allocation, Intangible Assets and Discounted cash flow valuation.
• Master/Bachelor's degree in Finance/Accounting.
• Hands on financial modelling experience with proficiency in MS Excel.
• Experience with Power BI, Tableau will be a plus.
• Excellent English.
• Strong analytical skills but tempered with an ability to think laterally.
• Ability to deliver high quality written work.
• Strong attention to detail combined with an ability to see the big picture.
• Ability to work effectively in teams on occasion to tight deadlines.
• Excellent interpersonal skills and confidence when interacting with others.
• Ability to quickly grasp key business drivers and specific valuation issues.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Accepting Feedback, Accepting Feedback, Active Listening, AI Interaction, Alteryx (Automation Platform), Analytical Thinking, Asset Valuation, Balance Sheet Analysis, Business Valuations, Business Value Analysis, Capital Modeling, Coaching and Feedback, Communication, Corporate Finance, Creativity, Deal Structures, Derivative Valuation, Disputed / Distressed Valuation, Embracing Change, Emotional Regulation, Empathy, Financial Advising, Financial Literacy, Financial Modeling, Financial Need Analysis {+ 42 more}Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Not Specified
• Available for Work Visa Sponsorship?.
• No
• Government Clearance Required?.
• No
• Job Posting End Date.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Finance, Financial Analysis, Accounting, English

ประเภทงาน:

งานประจำ

• Lead financial analysis, planning, and forecasting for Innovations and their performance, KPIs for the Thailand Foods Market Unit.
• Drive the Annual Operating Plan (AOP), budget management, and strategic planning processes for marketing innovations in the Thailand Foods Market Unit.
• Be a Finance Business Partner for PepSpark Business, Horizon 2/3 innovations.
• Act as a strategic business partner, providing financial decision support to drive brand and innovation performance.
• Deliver actionable insights and proactively identify risks and opportunities from a P&L perspective, considering market dynamics and commercial trends.
• Support the execution of strategic initiatives to ensure alignment with company goals and maximize business impact.
• Conduct financial simulations and provide recommendations to key stakeholders in Commercial, Consumer Marketing, Marketing, and Trade Marketing functions, ensuring financial implications are well understood.
• Act as a business partner by collaborating with Channel & Category teams in Commercial and Marketing functions to drive strong performance through analyzing results against plans, identifying improvement opportunities, and supporting decision-making via scenario analysis.
• Qualifications:Bachelor s and Master s degree in Finance, Accounting, or related fields.
• Minimum 5 years of experience in the Finance Manager position, preferably within the FMCG industry, with exposure to people management.
• Proven experience in budgeting, forecasting, and variance analysis.
• Strong background in business case development and project financial analysis.
• Expertise in evaluating the effectiveness of trade and marketing spending and analyzing channel and brand P&L performance.
• Familiarity with SAP, Tableau, and Power BI is a plus.
• Solid technical knowledge in Finance and Accounting principles.
• Strong analytical and critical thinking skills.
• Advanced proficiency in Microsoft Excel and other Office tools.
• Excellent communication skills in both Thai and English.
• Strong interpersonal skills with the ability to influence stakeholders and collaborate across functions.

ทักษะ:

Internal Audit, Finance, Power BI, English

ประเภทงาน:

งานประจำ

• Conduct preliminary review and role as auditor member in audit executions and if any, effectively solve problems encountered during the fieldwork.
• Assist to produce audit report, recommendations and follow up on rectification to ensure that corrective action has been taking time as specified in audit report.
• Manage audit works to ensure completion within deadline.
• Control works under his/her own responsibility to ensure achievement of specified targets, professional standards and laws/operating regulations concerned.
• Provide advice as needed regarding internal control systems for functional units across the Bank and its subsidiaries.
• Perform ad-hoc duties related to risk advisory service as assigned
• Stay up-to-date and develop an enhanced understanding of internal audit approach and rules..
• Perform on-site audit at the Bank and Subsidiaries as assigned by management.
• Assist to follow up in monitoring of foreign subsidiaries as assigned..
• Bachelor's degree or Master's degree in Finance, business administration, management, economics or related fields.
• At least 10 years of experiences and have a strong background in the following areas: External audit, Banking Business Audit, Internal Audit of other financial institutions or related business.
• At least 5 years of experience in team management.
• Have knowledge and/or work experience in audit of operations of businesses.
• Good communication in English skill both writing and speaking.
• Have problem-solving, decision making and analytical skills.
• Have skill Data Analyst: Power BI, Python, Tableau.
• Talent Acquisition Department Bank of Ayudhya Public Company Limited.
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• (https://krungsri.com/b/privacynoticeen).
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Only shortlisted candidates will be contacted"
• FB: Krungsri Career.
• LinkedIn: Krungsri.
• LINE: Krungsri Career..

ทักษะ:

Statistics, Excel, SQL, English

ประเภทงาน:

งานประจำ

• Be the partner with PTG s business teams, understand their data needs, and build plans to address those with intelligent data on time.
• To tell a story and provide insights to the users enabled to make better decision by delivering data solution.
• Use statistical tools to identify, analyze, and interpret patterns, trends and insights in complex data sets that could be helpful for the diagnosis and prediction to support PTG s business.
• Responsible for planning and providing final analysis report for PTG s business to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Encourage and collaborate with multiple internal stakeholders to use statistical / analytical tools in planning and decision-making process.
• Bachelor s degree in computer science, data analytics, statistics, economics or related fields.
• Proficient in data analytics tools and other computer programs; MS Word, Excel, PowerPoint etc.
• Excellent communication skill both in Thai and English.
• Experience in programming and SQL.
• Able to work under pressure and with multiple stakeholders within limited timeline.
• Interested in new technologies / innovations.
• Master's degree in a quantitative discipline.
• At least 1-2 years of experience in a similar role preferably with solid knowledge in food & beverage industry, CRM and retail business.
• Experience working on teams that managed large scale data projects.
• Knowledge with Data Science, Advanced Analytics, Machine learning tools, and methodologies.
• Conceptual, logical and physical data modeling, and data architecture knowledge.
• Visualization expertise in tools like Tableau and Power BI etc..
• PTG Energy Public Company Limited.
• 90 CW Tower, Tower A, 33rd Floor, Ratchadaphisek Road,.
• Huaykwang, Bangkok 10310.
• www.ptgenergy.co.th.

ทักษะ:

Business Development, Statistics, Power BI

ประเภทงาน:

งานประจำ

• Bachelor s degree in Business, Economics, Statistics, Engineering, or related fields (Master s degree preferred).
• 5-8 years of experience in business analysis, data strategy, or commercial development.
• Strong analytical and problem-solving skills with proven business acumen.
• Experience working with BI and analytics tools (e.g., Power BI, Tableau, SQL, Python/R).
• Ability to synthesize complex data into business-friendly insights and recommendations.
• Excellent communication and stakeholder management skills.
• Strong presentation and storytelling ability to influence senior management..

ทักษะ:

Statistics, Excel, SQL, English

ประเภทงาน:

งานประจำ

• Be the partner with PTG s business teams, understand their data needs, and build plans to address those with intelligent data on time.
• To tell a story and provide insights to the users enabled to make better decision by delivering data solution.
• Use statistical tools to identify, analyze, and interpret patterns, trends and insights in complex data sets that could be helpful for the diagnosis and prediction to support PTG s business.
• Responsible for planning and providing final analysis report for PTG s business to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Encourage and collaborate with multiple internal stakeholders to use statistical / analytical tools in planning and decision-making process.
• Bachelor s degree in computer science, data analytics, statistics, economics or related fields.
• Proficient in data analytics tools and other computer programs; MS Word, Excel, PowerPoint etc.
• Excellent communication skill both in Thai and English.
• Experience in programming and SQL.
• Able to work under pressure and with multiple stakeholders within limited timeline.
• Interested in new technologies / innovations.
• Master's degree in a quantitative discipline.
• At least 1-2 years of experience in a similar role preferably with solid knowledge in food & beverage industry, CRM and retail business.
• Experience working on teams that managed large scale data projects.
• Knowledge with Data Science, Advanced Analytics, Machine learning tools, and methodologies.
• Conceptual, logical and physical data modeling, and data architecture knowledge.
• Visualization expertise in tools like Tableau and Power BI etc..
• PTG Energy Public Company Limited.
• 90 CW Tower, Tower A, 33rd Floor, Ratchadaphisek Road,.
• Huaykwang, Bangkok 10310.
• www.ptgenergy.co.th.

ทักษะ:

Legal, Branding, SQL

ประเภทงาน:

งานประจำ

• Establish and manage client relationships with agencies and brands.
• Define and co-own account plans to unlock investments and drive client s business objectives.
• Be a strong consultant to agencies and brands though full-funnel digital media offerings and e-commerce.
• Create persuasive sales presentations using market trends, case studies and product collateral.
• Retain and grow revenue from advertisers; exceed quarterly sales goals.
• Provide clients with the highest level of customer service and consultancy.
• Roll out training and enablement programs, and aid in agency certification program.
• Frame client opportunities and challenges to enroll in cross functional support.
• Collaborate with internal teams globally and regionally across product, marketing, legal, engineering and sales to structure and execute operational and strategic initiatives such as developing account plans, synthesising market data, leading client analysis and defining the overall solutions approach.
• Brainstorm, identify, and implement advertising solutions on TikTok products to deliver measurable results for clients.
• Identify relevant trends and opportunities to craft business cases in support of any new products and/or solutions.
• Ensure smooth operations for campaigns from start to finish by working closely with different cross functional team members.
• 5+ years of experience in ad tech sales, digital media planning, or strategy roles.
• Strong understanding of digital media platforms, ad tech ecosystems, and measurement for branding and performance campaigns.
• Proven ability to consistently meet and exceed sales targets.
• Experience working effectively with cross-functional teams in a fast-paced environment.
• Excellent presentation and communication skills, with the ability to influence senior stakeholders.
• Analytical mindset with the ability to interpret data and translate insights into business impact.
• Experience in e-commerce is strongly preferred.
• Proficiency with SQL, data visualization tools (e.g., Power BI, Tableau), or database pipelines is a plus.
• Self-starter with a fast-learning, can-do attitude.
• Ambitious and resilient, with a strong desire to grow and develop within TikTok and ByteDance.

ทักษะ:

Branding, SQL, Python

ประเภทงาน:

งานประจำ

• Partner (Agency and Direct) Engagement: Partner with key stakeholders and agencies, providing strategic guidance and performance optimization to maximize ROI.
• Data Building & Diagnosis Capability.
• Partner with APMs or BPMs to inform and guide revenue-driving strategies.
• Provide scorecards for branding, TTS, Apps, and Web performance at the top accounts level of leading agencies.
• Deliver actionable insights through regular dashboards, reporting, and performance reviews to optimize agency outcomes.
• Leverage data analytics tools to monitor campaign performance, assess market trends, and generate actionable insights to optimize marketing efforts.
• Track and analyze advertising data, drawing actionable insights for campaign optimization and revenue growth as well as making seasonal predictions.
• Build effective data tracking workflow, monitoring progress, and finding problems in a timely manner.
• Visualize large or complex data and transform it to be more accessible, understandable, and usable.
• Understand business problems, identify data sources and translate problems into structured analysis or data products that directly drive actionable insights that maximize value.
• Strategic Planning: Develop and execute industry-specific strategies that align with TikTok's growth objectives.
• Go-to-Market Execution: Collaborate with product, sales, and marketing teams to launch new products and features, ensuring market fit and customer adoption.
• Operational Efficiency: Streamline internal processes and workflows, ensuring smooth collaboration between cross-functional teams.
• Performance Measurement: Define KPIs, track progress, and generate reports to measure the effectiveness of marketing strategies and operational initiatives.
• Bachelor's degree in Business, Marketing, Data Analytics, or a related field.
• 5+ years of experience in digital marketing, go-to-market strategy, business intelligence, or client solutions.
• Proficiency in digital advertising platforms.
• Strong analytical skills, with experience using data tools such as SQL, Python, Tableau, or Google Data Studio.
• Ability to interpret complex data sets and translate insights into actionable business recommendations.
• Excellent communication and collaboration skills, with the ability to influence stakeholders across departments.
• Self-starter with a growth mindset, capable of thriving in a fast-paced, dynamic environment.
• Strong knowledge of SQL, data visualization tools (Power BI, Tableau), database pipelines etc.
• Excellent analytical skills in spotting issues and take actionable initiatives from data.
• Experience working in an international environment, with an understanding of cultural nuances across APAC markets.
• Previous experience in any of the key industries (eCommerce, FinTech, SuperApps, Entertainment, Social, Gaming) with knowledge of user acquisition and engagement strategies.

ทักษะ:

Kafka, Python, SQL

ประเภทงาน:

งานประจำ

• Develop and maintain credit risk assessment and lending decisions modules.
• Expertise for handling large financial databases and credit data manipulation.
• Design and implement credit-risk decisioning model solutions using API-based frameworks (e.g., Flask, FastAPI) or event-driven architecture (e.g., Kafka, Pub/Sub), along with other suitable technologies.
• Monitor model performance to ensure high accuracy and reliability in credit decisions.
• Data Analysis & Risk Assessment.
• Clean and preprocess financial datasets, particularly credit lending and risk data.
• Conduct advanced statistical analyses to support risk assessment and lending decisions.
• Technical Skills.
• Proficiency in Python, SQL, and machine learning libraries (TensorFlow, PyTorch, Scikit-Learn).
• Experience with cloud platforms (AWS,GCP) for model deployment.
• Knowledge of statistical and machine learning techniques for risk modeling.
• Domain Expertise.
• Understanding of credit lending and risk assessment principles.
• Experience in financial data analysis within regulatory constraints.
• Proven track record in developing credit decision engines (optional).
• Education & Experience.
• Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field.
• Minimum 3 years experience in retail lending or similar role.
• Additional Requirements.
• Strong communication skills for presenting complex findings and process flow to management.
• Experience with data visualization tools (Tableau, Power BI).
• Ability to work collaboratively with cross-functional teams..
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

ทักษะ:

Budgeting, Automation, Data Analysis

ประเภทงาน:

งานประจำ

• Perform cloud usage analysis across Azure and AWS environments to identify cost optimization opportunities.
• Develop and maintain reports and dashboards for cloud spend, resource utilization, and performance metrics.
• Collaborate with Finance and Engineering teams to implement FinOps best practices.
• Analyze large datasets to provide actionable insights for budgeting and forecasting.
• Support automation initiatives to streamline reporting and reduce manual processes.
• Monitor and track KPIs related to cloud cost efficiency and resource allocation.
• Bachelor s degree in finance, Computer Science, IT, or related field.
• 2+ years of experience in data analysis or cloud financial management.
• Strong knowledge of Azure and AWS services, billing models, and cost management tools.
• GCP experience is a plus.
• Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau).
• Familiarity with FinOps principles and cloud governance frameworks.
• Excellent analytical, problem-solving, and communication skills.
• Experience with Python or scripting for automation and data processing.
• Knowledge of cloud-native analytics tools.
• Understanding of budgeting and forecasting processes in cloud environments.

ประเภทงาน:

งานประจำ

• Performance Reporting: Manage stewardship and reporting related to Crude, Product and Feedstock Trading activities - BCPT, BCP, and BSRC
• Insightful Analysis: Providing insights on market drivers and that impact financial performance
• Risk Management: Evaluate financial risk and support risk management efforts to mitigate exposure to price volatility and other market risks
• Process Enablers: Support implementation of Trading initiatives for systems and work processes
• Analyze industry data to support Trading strategies and analysis
• Bachelor s degree or above in Finance, Accounting, Economics, International Trading or related discipline
• Minimum five years of working experience of related role within oil and gas industry
• Strong working knowledge in trading platforms and data analysis tool
• Excellent analytical thinking and ability to leverage analytical tools (Tableau desktop, Excel, etc.)
• Excellent interpersonal and communication skills.

ประเภทงาน:

งานประจำ

• To create effective data visualizations to monitor the Liquidity and Interest Rate Risk of the bank, KS Group Companies, and Consolidation.
• Adopt statistical concepts and methods for data interpretation and analysis for the ALCO report.
• Leverage bank data from the ALM system, Market Data, KS Group Companies data, etc. Then verify data, model, and transform data into a suitable format for analysis.
• Apply statistics to analyze the optimization of the structure of the balance sheet and Liquidity & Interest Rate Risk.
• Detecting and managing Risk and making funding and investment decisions.
• Enhancement of the existing system and monitoring reports.
• Master s degree in data science, Data Analytics, Statistics, Mathematics, Business, Financial, Economics.
• Industry knowledge in preferable eg. Banking, Treasury, Market Risk, Financial Planning, or Asset and Liability Management is preferable.
• 5-10Years of experience or more years of professional experience in data analysis or related field.
• Expert in programming languages like Python, SQL, Analysis, and Model Building.
• Strong understanding of statistical.
• Data Visualization and Communication. Experience in using data visualization tools eg Tableau, Power BI, Excel, Macro.
• Strategic Thinking in understanding business objectives and translating business problems into data-driven solutions.
• Ability to collaborate with work environmentally.
• Excellence in written and verbal communication skills, including the ability to present complex findings to ALCO.
• Strong analytical and problem-solving skills to identify and address data-related challenges.
• Proactive in identifying opportunities to leverage data to improve business outcomes.
• Innovative, Adaptability and Continue developing to make significant contributions.

ทักษะ:

Research, Big Data, Full Stack, English

ประเภทงาน:

งานประจำ

• Develop customer and business insights to identify business opportunities or resolve business challenges, and provide actionable recommendations to guide business decisions.
• Prepare data from different data sets for building analytical models and delivering customer insights and recommendations to guide business decisions.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Deliver pre and post campaign analysis to guide the design and optimization of analytical models and personalized marketing campaigns.
• Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies.
• Work with engineers to implement end-to-end process from model development to testing, validation, deployment, and lifecycle support.
• Research and Development on novel data science and analytics tools and ML/AI technology.
• Background/ Experiences.
• 3+ years of Experience working with customer-centric data at big data-scale and applying machine learning, optimization and statistical methods to large datasets in various industries: financial services, telecom, retails, insurance, e-commerce, or related industries.
• Strong statistical knowledge, superior analytical abilities, and good knowledge of business intelligence solutions.
• Full stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - MLOps.
• Experience in being able to translate business needs into executable data science and analytics solutions.
• Proven track record in client engagement, relationship building, and project management is PLUS.
• Knowledge & Skills.
• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering).
• Deep understanding of mathematics and statistical modeling, predictive modeling, and machine-learning algorithms with hands-on experience with Machine Learning frameworks.
• Excellent Proficiency in programing languages (SQL, R, Python) and Experience with business intelligence solutions (Tableau, PowerBI or Advanced Excel).
• Hand-on experience in data engineering, working with big data technology (Spark/Hadoop) and cloud platforms such as Azure, AWS, or GCP.
• Excellent verbal, written, and interpersonal communication skills (both Thai and English).

ทักษะ:

Research, Big Data, Full Stack, English

ประเภทงาน:

งานประจำ

• Develop customer and business insights to identify business opportunities or resolve business challenges, and provide actionable recommendations to guide business decisions.
• Prepare data from different data sets for building analytical models and delivering customer insights and recommendations to guide business decisions.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Deliver pre and post campaign analysis to guide the design and optimization of analytical models and personalized marketing campaigns.
• Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies.
• Work with engineers to implement end-to-end process from model development to testing, validation, deployment, and lifecycle support.
• Research and Development on novel data science and analytics tools and ML/AI technology.
• Background/ Experiences.
• 3+ years of Experience working with customer-centric data at big data-scale and applying machine learning, optimization and statistical methods to large datasets in various industries: financial services, telecom, retails, insurance, e-commerce, or related industries.
• Strong statistical knowledge, superior analytical abilities, and good knowledge of business intelligence solutions.
• Full stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - MLOps.
• Experience in being able to translate business needs into executable data science and analytics solutions.
• Proven track record in client engagement, relationship building, and project management is PLUS.
• Knowledge & Skills.
• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering).
• Deep understanding of mathematics and statistical modeling, predictive modeling, and machine-learning algorithms with hands-on experience with Machine Learning frameworks.
• Excellent Proficiency in programing languages (SQL, R, Python) and Experience with business intelligence solutions (Tableau, PowerBI or Advanced Excel).
• Hand-on experience in data engineering, working with big data technology (Spark/Hadoop) and cloud platforms such as Azure, AWS, or GCP.
• Excellent verbal, written, and interpersonal communication skills (both Thai and English).