เงื่อนไขการค้นหา

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Tableau, Data Analysis, SQL, English

ประเภทงาน:

งานประจำ

• Develop interactive dashboards and reports using Tableau..
• Translate business requirements into data visualizations and actionable insights..
• Work with stakeholders to define key performance indicators and reporting metrics..
• Prepare, clean, and manipulate data from multiple sources for analysis..
• Collaborate with data engineers and business analysts to improve data accuracy and consistency..
• Perform trend analysis, forecasting, and reporting for internal and client use..
• Ensure data visualization best practices, including usability and accessibility..
• Document processes and maintain version control for all dashboards and visual reports..
• Your profileExperience with Tableau for data analysis and visualization..
• Experience with data preparation tools and SQL-based querying..
• Minimum 3 years of professional experience as a Data Analyst or BI Analyst..
• Academic background: Bachelor s degree in Statistics, Computer Science, Business Analytics, or related field..
• Fluent Thai and English..
• You are detail-oriented, curious, and able to translate data into strategic insights..
• What we offerAn international community bringing together 110+ different nationalities.
• An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities.
• A robust training system with our internal Academy and 250+ available modules.
• A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.).
• Strong commitments to CSR, notably through participation in our WeCare Together program.
• Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability or other characteristics.

ทักษะ:

Payroll, Labor law, Finance

ประเภทงาน:

งานประจำ

• Prepare and process monthly payroll for all staff, including permanent, AEC, and temporary employees.
• Verify attendance, OT, leave records, and payroll adjustments in line with company policies and labor law requirements.
• Coordinate with finance and accounting for salary disbursements, statutory payments (SSO, provident fund, etc.), and year-end tax submissions (PND.1, PND.91).
• Maintain confidentiality and security of payroll data at all times.
• Handle payroll inquiries from employees and resolve discrepancies in a timely manner.
• Payroll Data Analysis & Reporting (30%).
• Analyze payroll trends, such as OT costs, headcount costs, and turnover-related payroll impacts.
• Provide regular and ad hoc reports to management (e.g., cost center reports, headcount budget vs. actual, overtime trend analysis).
• Collaborate with HRBP and Operations to provide insights that support manpower planning and cost control initiatives.
• Support HR projects such as cost-saving initiatives, audit reviews, or workforce optimization with relevant data.
• System & Process Improvement (10%).
• Maintain and enhance payroll data accuracy in HRIS/payroll systems.
• Collaborate with IT and system vendors (e.g., Prosoft) to improve payroll system functionality.
• Develop tools or templates to automate manual payroll tasks and reduce errors.
• Support digital transformation and HR analytics initiatives.
• Bachelor s degree in HR, Accounting, Finance, Business Administration, or related field.
• 3-5 years of payroll experience in a medium to large organization; experience with AEC workers and warehouse operations is a plus.
• Strong Excel and data analysis skills (e.g., pivot tables, v-lookups, basic formulas); Power BI knowledge is an advantage.
• Experience with HRIS/payroll systems (e.g., Prosoft, SAP, Workday) is preferred.
• Good understanding of Thai labor law, taxation, and statutory contributions.
• High attention to detail and accuracy.
• Analytical and problem-solving mindset.
• Ability to meet tight deadlines under pressure.
• Strong confidentiality and data integrity ethics.
• Collaborative and proactive communicator.

ทักษะ:

ETL

ประเภทงาน:

งานประจำ

• Design, develop, and modify ETL pipelines for efficient data processing and integration.
• Optimize long-running batches and enhance overall system performance.
• Automate data validation and quality checks within ETL workflows.
• BI Reporting.
• Develop new BI reports and dashboards based on business requirements using tools like OBIEE/BIP and Microsoft PowerBI.
• Support and enhance existing reports, ensuring accuracy and relevance.
• Collaborate with business users to gather requirements and translate them into actionable reporting solutions.
• Data Management.
• Identify, analyze, and resolve data discrepancies and quality issues.
• Implement data fixes and validate results to maintain data integrity.
• Assist in building and maintaining data structures and views for better insights.
• System Support & Collaboration.
• Provide technical assistance for troubleshooting and resolving issues in data integrations and BI systems.
• Collaborate with cross-functional teams to prioritize and address data-related requests.
• Document processes, technical designs, and workflows to facilitate knowledge sharing.
• Process Improvement.
• Contribute to the enhancement of existing systems by implementing the best practices for data pipelines and BI development.
• Develop and maintain detailed logging and alert systems for proactive issue resolution.

ทักษะ:

Finance, Statistics, Python

ประเภทงาน:

งานประจำ

• เก็บรวบรวมและวิเคราะห์ข้อมูลที่ส่งผลกระทบต่อองค์กร จากหลายแหล่ง ทั้งภายในและภายนอก ทั้งในด้าน Finance & Non Finance รวมถึง เหตุการณ์ที่เกิดขึ้นอันอาจจะกระทบความเป็นอยู่ของพนักงาน.
• วิเคราะห์พฤติกรรม/เหตุการณ์ และคาดการณ์โอกาสหรือผลอันอาจจะกระทบต่อบริษัทและพนักงาน.
• ออกแบบและทำการทดสอบวิธีใช้งานข้อมูลและเทคนิคการวิเคราะห์ใหม่ๆ เพื่อนำเสนอมุมมองทางธุรกิจใหม่ๆให้แก่ผู้ที่เกี่ยวข้อง.
• การจัดทำรายงานและ Dashboard.
• จัดทำรายงานสรุปข้อมูลที่เข้าใจง่าย และสร้าง Dashboard ให้ผู้บริหาร.
• นำเสนอผลการวิเคราะห์เพื่อประกอบการตัดสินใจเชิงกลยุทธ์.
• สนับสนุนการทำงานของทีมงานในด้านข้อมูล.
• การสร้าง ดูแล และ อัปเดตฐานข้อมูล และการประมวลผลข้อมูลขนาดใหญ่.
• พัฒนาและใช้งานระบบอัตโนมัติ ในการทำงานกับฐานข้อมูล.
• งานอื่นๆที่เกี่ยวข้องเพื่อสนับสนุนการทำงานของทีมวิเคราะห์ข้อมูล.
• ปริญญาตรีด้าน Mathematics, Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์อย่างน้อย 2-5 ปีในด้าน Data Analytics หรือ Data Science.
• มีประสบการณ์ด้าน Data Visualization และสามารถนำเสนอข้อมูลได้อย่างมีประสิทธิภาพ ผ่านเครื่องมือที่เหมาะสม.
• มีทักษะการเขียนโปรแกรม เช่น Python, SQL และเครื่องมือ BI เช่น Power BI หรือใกล้เคียง.
• มีประสบการณ์และความเข้าใจในการใช้เทคนิค Machine Learning พื้นฐาน (เช่น Data Clustering, Time series analysis ) ในการวิเคราะห์ข้อมูลที่มีความซับซ้อนหรือข้อมูลขนาดใหญ่.
• หากมีประสบการณ์กับ Cloud Platform (เช่น AWS, GCP, Azure) จะพิจารณาเป็นพิเศษ.
• Contact Information:-.
• K. Sawarin Tel.
• Office of Human Capital.
• TSPACE DIGITAL COMPANY.
• ThaiBev Quarter.

ทักษะ:

SAS, SQL, Tableau

ประเภทงาน:

งานประจำ

• Produce daily, weekly, monthly business report for the Collections Department.
• Develop and automated data processes, including routine and ad-hoc reports, to improve efficiency.
• Coordinated cross-functional teams to define business objectives and present complex data insights clearly.
• Analyzed and improved existing business reports and provided support for problem-solving and new business requirements.
• Enhance collector performance by implementing report for performance tracking, involving requirements gathering and report template design by using tools such as SAS.
• Design and develop data visualization, dashboards, to support business comprehend data and make critical decisions.
• Estimate costs and benefits for the sales campaign, incentive schema of the Collections Department.
• Bachelors and / or Masters degree in any field.
• 3+ years experience as MIS.
• Experience in using SAS, SQL, Powe BI, Tableau, Access and Excel (Pivot, VLOOKUP).

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Statistical Analysis, SQL, Excel

ประเภทงาน:

งานประจำ

• Develop and enhance business intelligence solutions, directly contacting stakeholders and top management to transform data into actionable insights.
• Establish and maintain robust relationships with stakeholders, ensuring alignment with business goals and optimally communicating updates, feedback, and addressing concerns.
• Complex Data Analysis and Operational Excellence Analyze large, critical data sets and conduct sophisticated statistical analysis to derive meaningful insights.
• Build and operationalize processes to ensure timely data loading and maintain data accuracy, using tools such as SQL, Snowflake, Microsoft Excel, Tableau, and Microsoft Power BI.
• Define key performance measures, supervise capacity and service status, and assess risk levels across infrastructures, addressing issues with relevant teams and progressing open actions.
• Insight Generation and Continuous Improvement Conduct trend analysis to detect patterns and anomalies in service metrics, performing root cause analysis and driving continuous improvement initiatives.
• Track and analyze mean time metrics for incident, case, and alarm handling, providing actionable insights for operational excellence and customer experience.
• Optimize resource utilization through regular analysis of system capacity, developing and implementing risk management strategies for individual products.
• Collaboration and Communication Facilitate review forums to unify stakeholders and drive collective decision-making, providing regular reports to key customers to communicate current status and drive timely actions.
• Liaise with global development teams to troubleshoot, analyze, and investigate performance-related issues in the infrastructure.
• Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Minimum of 5 years of experience in data analysis or a related field.
• Proficiency in data analysis tools i.e. SQL, python, R, and Tableau/Power BI.
• Strong analytical and problem-solving skills with focused attention to detail.
• Strong organization and project management skills.
• Superb communication and presentation skills.
• Ability to communicate complex data insights optimally to stakeholders.
• Preferred: Experience with Datadog or Big Panda.
• Experience with data modelling.
• Experience in tech industry.
• LSEG is an equal opportunities employer, that seeks to offer an inclusive environment to all colleagues. Furthermore, LSEG has committed to reduce its carbon emissions by 50% by 2030, and to reach net zero by 2040. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Python, SQL, Analytical Thinking, English

ประเภทงาน:

งานประจำ

• English as working language.
• Minimum of 3 years data analytics related working experiences.
• At least 1 year of working experience directly communicate to business team.
• Proficient in Python or SQL.
• Advanced hands on experiences with visualization tool.
• Strong communication and analytical thinking skills.
• Good balance of data and business knowledge.
• Fintech or banking industry.
• Internet companies with mobile application.
• Contact: thipwimon.kanthawong@krungthai.com.
• 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. ".

ประเภทงาน:

งานประจำ

• The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science. GBS is a dynamic, entrepreneurial, and ambitious client group, and our HRBPs who support them are too! We are excited to continue adding to our Human Resources team to attract, engage, and retain top talent to drive the continued growth of the organization. You will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limit ...
• Minimum Qualifications-Bachelor degree or above, graduate degree is preferred, math, statistics, computer-related majors are preferred, strong capability of data analytics is required;-experience in research and analysis positions in consulting, e-commerce/ads is preferred. Preferred Qualifications-Outstanding reasoning capability and logic, with good problem solving methodologies, being able to independently output quality strategic solutions, strong learning and adaptive ability, strategic framework thinking, sensitivity and insight into the business;-Have some strategic thinking capacity, able to quickly understand the business and discover the connection between business and data performance;-Proficiency in SQL for data analysis, understanding of common statistical and analytical methods, and skills in BI visualization tools such as Tableau/Power BI is a plus;-Fast learner, passionate about participating in business, and able to adapt to high intensity and fast growth work environment.By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.If you have any questions, please reach out to us at apacearlycareers@tiktok.com.

ทักษะ:

Risk Management, Business Development, Research

ประเภทงาน:

งานประจำ

• Work within project and client teams to solve complex business issues in one of our three core capability areas, bringing structure and rigorous quantitative and qualitative skills to deliver actionable recommendations, insights and results.
• Lead project workstreams with minimum supervision to identify value creation opportunities for our clients and drive individual workstreams to closure.
• Lead and develop elements of analysis required to support project delivery.
• Conduct client interviews and workshops, develop presentation materials and engage in client conversations, articulating approach and recommendations.
• Work on topics including corporate strategy development, trading and risk management capability set-up, operating model design, commercial optimization, investment valuation and financial structuring, balance sheet analysis, energy market liberalization, energy transition and advanced numerical modelling of energy and commodity markets.
• Develop client relationships by remaining highly attuned to client needs and styles, and remaining market relevant through the development of thought leadership pieces and taking fresh/disruptive ideas to clients.
• Practice Building.
• Contribute to developing the ATIOS and wider Accenture Strategy practice and community, and building ATIOS offerings, assets and thought leadership.
• Support internal Business Development activities by conducting and managing industry and company-specific research (competitors, market scanning and market fundamentals, financials, customers, etc.), as well as the development of client proposal presentations.
• Client Delivery and Development.
• Global project experience both in Thailand but also in Southeast Asia and globally as part of the ATIOS Global Strategy project staffing pool.
• Work within cross-office project and client teams including both ATIOS Thailand and global ATIOS to solve complex business issues in one of our three core capability areas, bringing structure and rigorous quantitative and qualitative skills to deliver actionable recommendations, insights and results.
• Work on topics including corporate strategy development, trading and risk management capability set-up, operating model design, commercial optimization, investment valuation and financial structuring, balance sheet analysis, energy market liberalization, energy transition and advanced numerical modelling of energy and commodity markets.
• Advise clients on the top priorities of their asset portfolios, such as corporate restructuring, capital planning, and balance-sheet optimization; and revamp their value chains based on market and industry conditions.
• Provide energy consulting to help clients to navigate the energy transition through development of new, cutting-edge business models, advising on sustainability strategies and developing market outlooks.
• Help commodity trading organizations set up and expand their trading and risk management activities across energy markets and other commodity value chains.
• Lead project teams to shape clients investment/divestment transactions, and help create innovative, agile business models that help clients pivot to the New.
• Lead analysis of clients businesses and advise them on how they can grow their product margin, boost supply certainty, and reduce price/volumetric volatility.
• Use quantitative and qualitative analysis to craft strategies to help clients enter new markets that can boost growth.
• Strengthen relationships with clients to sustain Accenture s profile as a long-term trusted advisor and partner.
• Mentor and grow a team of strategy consultants and analysts, fostering an environment of continuous learning and innovation.
• Travel: as needed, up to 100% in SEA, Middle East, Europe and other regions.
• Practice Building.
• Drive recruitment and team development activities for ATIOS Thailand for Consultant and Analyst hiring and mentoring, to support ATIOS Thailand growth.
• Contribute to developing the ATIOS Thailand, ATIOS Global and wider Accenture Strategy practice and community, and building ATIOS offerings, assets and thought leadership.
• Support internal Business Development activities by conducting and managing industry and company-specific research (competitors, market scanning and market fundamentals, financials, customers, etc.), as well as the development of client proposal presentations.
• Required Experience.
• A bachelor's degree from a leading academic institution.
• About 2-5 years of professional experience minimally in either a Strategy Consulting Firm working in Commodity and/or Capital Markets, or any relevant position in industry.
• Knowledge of how global markets operate and an understanding of global commodity and/or capital markets.
• Commodity / Energy Markets: energy, utilities, chemicals, agriculture, metals & mining, Capital Markets: public equities, fixed income, alternatives (private equity, etc.).
• A high degree of comfort with strategy frameworks and strong quantitative skills to develop financial or operational models and supervise data analysis.
• Experience in business case development, financial analysis and a demonstrable understanding of financial statements.
• Demonstrated ability to work with multi-cultural teams to deliver high-quality output in short timeframes.
• Demonstrable exposure to digital, analytics and/or applied intelligence would be beneficial.
• Required Experience.
• An undergraduate degree from a leading academic institution.
• Minimum of 6 years of experience in the strategy consulting industry or equivalent in an internal consulting role, OR a minimum of 6 years of experience working in the energy industry, commodity markets or investment banking.
• Experience leading or contributing to teams and delivering complex strategy or consulting engagements.
• Knowledge of how global markets operate and an understanding of global commodities and relevant industries (e.g. energy, utilities, chemicals, agriculture, metals & mining) is desirable.
• A high degree of comfort with strategy frameworks and strong quantitative skills to develop financial or operational models and supervise data analysis.
• Experience in business case development, financial analysis and a demonstrable understanding of financial statements.
• Demonstrated ability to work with multi-cultural teams to deliver high-quality output in short timeframes.
• Demonstrable exposure to digital, analytics and/or applied intelligence would be beneficial.
• Experience in international or multicultural work and education would be preferable.
• Why join us?.
• We offer a transparent, fast paced approach career progression, with a focus on your strengths and continuous coaching from senior colleagues.
• You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools.
• Flexible work arrangements and a range of benefits including competitive rewards.
• You will have access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends.
• You will also have opportunities to make a difference to the communities in which we work and live.
• About Accenture.
• We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We re proud to be consistently recognized as one of the World s Best Workplaces .Join Accenture to work at the heart of change.
• Visit us at www.accenture.com.
• Equal Employment Opportunity Statement.
• All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
• Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
• Accenture is committed to providing veteran employment opportunities to our service men and women.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Power BI, Automation, Risk Management, English

ประเภทงาน:

งานประจำ

• Dashboard Design: Create and update Power BI dashboards for insightful analysis.
• Report Automation: Use VBA and macros to streamline report generation.
• Operational Analysis: Analyze metrics like volume, efficiency, cycle time, quality, and service.
• KPI Tracking: Develop scorecards for KPI tracking and support forecasting and capacity planning.
• MIS Support: Ensure effective management information systems.
• Report Production: Timely and accurate production and distribution of management reports.
• Documentation: Document MIS processes for smooth operations.
• Data Presentation: Present clear and actionable findings to management.
• Process Improvement: Identify and implement efficiency enhancements.
• Project Communication: Keep management and stakeholders updated on project statuses.
• Financial Controls: Support financial health and risk management efforts.
• Key Requirements:Bachelor's degree or higher in Computer Science, Computer Engineering, MIS, or related fields.
• At least 5 years of experience in data analysis/science/engineering in performance-driven environments.
• Proficiency in SQL (Python is a plus).
• Strong analytical skills for interpreting financial data.
• Advanced skills in MS Excel, experience in MS Power BI, Power Query, and VBA.
• Advantageous experience in Data Management, Big Data, WFM, CRM, and Telephony systems.
• Excellent communication skills for collaboration across diverse teams.
• Ability to manage multiple priorities independently.
• Strategic mindset for continuous improvement.
• Fluent in English, both written and verbal.
• Preferable: Experience with SAP or similar financial software.
• Preferable: Experience in large matrix organizations, ideally in Insurance or Assistance busines.
• Our employees play an integral part in our success as a business. We appreciate that each of our employees are unique and have unique needs, ambitions and we enjoy being a part of their journey.
• We are there to empower and encourage you with your personal and professional development ensuring that you take control by offering a large variety of courses and targeted development programs. All that in a global environment where international mobility and career progression are encouraged. Caring for your health and wellbeing is key priority for us. This is why we build Work Well programs to providing you with peace of mind and give the flexibility in planning and arranging for a better work-life balance.
• 74070 | Data& Analytics | Professional | PG08 | Allianz Partners | Full-Time | Permanent

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Finance, SQL, Tableau

ประเภทงาน:

งานประจำ

• Work closely with a diverse set of stakeholders in Finance and other parts of the organization.
• Consult stakeholders to propose the best suited data solution.
• Build end-to-end solutions including data workflows, dashboards, reports etc.
• Become familiar with financial data ecosystem at Agoda.
• Help the Finance Analytics team drive value for the Finance department and Agoda as a whole.
• Undergraduate degree.
• 3+ years of relevant experience using Business Intelligence (BI) & analytics tools (like SQL, Tableau, Metabase, or similar).
• Experience in ETL tools, data modelling and have proficient knowledge of SQL and Relational Databases: the ability to write, execute and interpret queries is essential.
• Quick learner, problem-solving aptitude, effective prioritization, proactive and strong attention to detail.
• High sense of ownership and growth mindset, ability to be self-directed.
• Ability to understand business questions/requests and be able to suggest proper BI solutions which are measurable and scalable.
• Excellent communication skills and ability to influence peers and build strong relationships within Finance and cross-functionally.
• Advanced Excel modelling (OLAP cubes & VBA a bonus).
• Accounting/Financial knowledge and commercial acumen.
• Solid technical/functional knowledge in statistics.
• Familiarity with scrum/agile methodology.
• Other helpful skills - T-SQL, batch scripting, ODBC, data mining, Hadoop.
• Experience with Wallet and Financial Payment systems, including integration and data analysis.
• Understanding of digital payment processes and financial transaction data.
• 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.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

SQL, Python, Git, English

ประเภทงาน:

งานประจำ

• Track the monitoring alerts, investigate the issue, and raise an incident if appropriate.
• Notify the Support Supervisor of incidents, user impact and estimated time to resolve.
• Ensure data workspace governance including row-level security.
• Data Development and Management.
• Develop and maintain BI solutions within Microsoft Fabric, using Data Lake, Dataverse, and Pipelines.
• Build and optimize Dataflows and manage semantic models, integrate data from multiple sources using Power Query, SQL, and Python within the Fabric ecosystem.
• Utilize Git for source control and Azure DevOps for deployment pipelines and version tracking of Power BI and Fabric artifacts.
• Data Analysis & Power BI Reporting.
• Translate business requirements and maintainable technical specifications.
• Create and maintain dashboards and reports in Power BI.
• Ensure performance optimization and effective user experience in reports and datasets.
• Data Quality.
• Clean and validate data to ensure accuracy, completeness, and reliability.
• Document and maintain data definitions, metrics, and business logic across datasets.
• Collaboration.
• Work alongside teams within the business or management to establish business needs and define new data collection and analysis processes.
• Provide training and guidance to business users on data access and report usage.
• Benefit.
• Provident Fund.
• Yearly Performance Bonus.
• Diligence Allowance.
• Annual leave starts at 12 days. 15 day after 1 year.
• Public holiday standard at 17 days.
• Group Insurance (Life insurance & Health insurance).
• Laptops provide.
• Moral support such as marriage, Funeral.
• Emergency Loan without interest.
• Company outing trip.
• Bachelor s degree in computer science, Data Science, Mathematics.
• 3+ years as a data analyst or similar role.
• Can Work and Communicate Well in English, spoken and written.
• Experience in a construction-related business is ideal.
• Experience in an international company within mid-to-large enterprise environments is a plus.
• Quantitative Analysis: A strong foundation in statistical methods, probability, and mathematical modeling is crucial. You should be comfortable working with large datasets and performing predictive analytics.
• Technical Proficiency: Knowledge of programming languages like SQL, Python, or R, and familiarity with data visualization tools such as Microsoft Fabric ecosystem, including Power BI, Lakehouse, Pipelines, and Dataflows Gen2 is necessary.
• You should also understand database management and be adept at using spreadsheets or specialized software.
• Power Query and DAX: Proficiency in using Power Query and writing expressions using Data Analysis Expressions (DAX) is important for manipulating and analyzing data within PowerBI.
• Data Quality Assessment: You need to know how to assess data quality and understand data security, including row-level security and data sensitivity.
• Communication Skills: Excellent verbal and written communication skills are essential for explaining complex data insights in a clear and understandable manner.
• Problem-Solving Skills: Strong analytical and problem solving skills will help you tackle the challenges that come with interpreting data and turning it into actionable insights.
• Interpersonal Skills: As you will be working closely with business teams, good customer service and interpersonal skills are important for collaboration and understanding of business needs.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Big Data, Good Communication Skills, Scala

ประเภทงาน:

งานประจำ

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

ทักษะ:

Statistics, Data Analysis, SAS, 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.
• 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.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity and analytical skills.
• Experience in digital marketing.
• Academic research experience.
• 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.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.