เงื่อนไขการค้นหา

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Sales, Data Warehousing, Legal

ประเภทงาน:

งานประจำ

• 7 years of experience promoting analytics, data warehousing, or data management software.
• Experience planning, pitching, and executing a territory business strategy.
• Experience executing commercial and legal agreements with procurement, legal, and business teams.
• Experience working with sales engineers and customer technical leads to build business cases for transformation and accompanying plans for implementation.
• Preferred qualifications:
• Experience working with and managing partners in implementation projects.
• Experience with Data Analytics technology stack (e.g., Business Intelligence, Predictive Analytics, Hadoop/Spark Data lakes, Columnar Data Warehouses, Data Streaming, ETL and Data governance, etc.).
• Experience with Google Cloud Data and Analytics offerings (e.g., BigQuery, Looker, Pub/Sub, etc.).
• Ability to engage and influence executive stakeholders as a business advisor in data and analytics.
• Excellent business judgment and analytics skills, with the ability to use data to inform decisions and influence stakeholders.
• The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
• At Google Cloud, we're committed to offering customers an industry-leading Data and Analytics platform to build powerful solutions. In this role, you will build an understanding of the customers' businesses and bring expertise to the executive-level relationships to help them deliver their strategies.Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• Own and calibrate the business against the objectives and key results, accurately forecasting and reporting the state of the business for the assigned territory.
• Build and maintain executive relationships with customers as the data analytics subject matter expert, influencing long-term strategic direction.
• Develop and execute account plans, including a broader enterprise plan across key industries with focus on building accounts.
• Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, articulating key solution differentiators, and measurable business impacts.
• Work with the Google account and technical teams to develop and drive pipeline, and provide expertise. Develop go-to-market (GTM) efforts with Google Cloud Platform partners.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Statistics, Research, SAS

ประเภทงาน:

งานประจำ

• Leading, executing, and delivering data science projects for clients in Thailand.
• Developing detailed project scopes and methodologies, designing, and implementing solutions using appropriate tools and techniques.
• Building strong relationships with Visa partners, clients, and corresponding data science & analytics teams, driving collaboration, and ensuring the implementation of Visa's recommendations.
• Maintaining quality control and up-to-date documentation for all data science projects.
• Innovating by utilizing Visa's data, client data, and non-traditional data sources to meet client needs.
• Enhancing existing data science and analytic techniques by promoting new methodologies and best practices.
• Fostering thought leadership in the data science domain and building intellectual property through innovation.
• Managing communication with clients and stakeholders effectively.
• Mentoring, guiding, and supervising data scientists in the project team.
• Delivering analytics projects from inception to completion, providing actionable insights and recommendations.
• Identifying opportunities for innovation using non-traditional data and new modeling techniques.
• Managing internal and external stakeholders.
• Supervising data scientists reporting to this role.
• Developing data-driven solutions using Visa data.
• Building data science visualization capabilities to address client problems.
• Driving innovation using data science techniques.
• Advocating for data science within partner organizations, advising and coaching analytical teams, and sharing best practices and case studies.
• Continually assessing the environment to challenge assumptions about data sources, potential analytics partners, tools, talent, and infrastructure.
• Exploring and adopting leading methodologies and best practices from other international markets.
• This is an individual contributor role.
• We are looking for a motivated, analytical minded individual with a track record of using data science and analytics expertise to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about payments industry and application of data analytics, should be results-driven and client-centric.Degree (master's or Ph.D. would be an advantage) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience.
• 7+ years of experience in performing data exploration and feature engineering.
• 8 -10 years of professional work experience in banking, payments, or related industry.
• Hands on experience with data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive, and a working knowledge of Hadoop ecosystem.
• Proficiency in statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc.
• Demonstrated experience in planning, organizing, and managing multiple and concurrent analytics projects with diverse cross-functional stakeholders.
• Strong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization.
• Excellent presentation and storytelling skills, including strong oral and written capabilities.
• Storyboarding and data storytelling including strong Excel and PowerPoint skills.
• In market experience and/or knowledge of local language, culture as well as industry regulations.
• Additional InformationVisa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Big Data, Project Management, Quality Assurance

ประเภทงาน:

งานประจำ

• Management of work packages/modules in critical IT implementation projects.
• Assessment of technical architecture & performance of technical proofs of concept.
• Supporting the analysis of complex IT architectures, Solution Architectures as well as optimization of development processes.
• Running workshops with client IT and business teams to identify and formulate business and IT requirements for core IT systems or innovation topics such as Big Data & Analytics.
• Supporting IT project management and quality assurance in large programs.
• A university degree with above-average academic performance in information technology or a related field.
• Professional experience.
• in the execution and management of (sub)projects using Waterfall and Agile approaches.
• in the field of professional software development or IT project management using Waterfall and Agile methodologies.
• in the assessment of IT target architectures in an enterprise environment, component technologies, and service-oriented architectures.
• Full understanding of interdependencies between her/his own work stream and the overall project context, being able to scope and design a work stream autonomously and take responsibility.
• Extensive technical expertise (overarching understanding of architecture, object-oriented programming languages, database design and systems, component technologies, XML standards, and current technology trends) of digital solutions on mobile devices as well as legacy environments.
• Experience with IT technologies such as No-SQL and SQL DBs, Big Data environments (e.g., Hadoop, Redshift) and PaaS/IaaS platforms such as Pivotal, Heroku, AWS, Azure.
• Experience in the analysis of IT architectures and/or Solution Design.
• A strategic thinker, entrepreneurial, able to work creatively and analytically in a problem-solving environment.
• What You'll Bring (Experience & Qualifications).
• Overall 8+ years' experience in which 3 years in application architecture.
• Outstanding analytical and conceptual skills.
• Distinct client and results orientation.
• Team spirit, communication and presentation skills, and mental agility.
• A confident and convincing manner.
• Flexibility, ability to work under pressure, and willingness to travel.