1 - 3 of 3 job positions
for keyword data warehouse business intelligence
Order by
Please select
- No elements found. Consider changing the search query.
Upload your resume Our AI will read it and recommend you best jobs


Skills:
Sales, Hadoop, ETL, English
Job type:
Full-time
Salary:
negotiable
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in software sales or account management.
- Experience promoting analytics, data warehousing, or data management software.
- Ability to communicate fluently in English and Thai fluently in order to communicate for APAC customers.
- Preferred qualifications:Experience with business intelligence front-end, data analytics middleware, or back-end data warehouse technologies.
- Experience working with sales engineers and customer technical leads to build business cases for transformation and accompanying plans for implementation.
- Understanding of data analytics technology stack (e.g., Hadoop/Spark, Columnar data warehouses, data streaming, ETL and data governance, predictive analytics, data science framework, etc.).
- Understanding of Google Cloud Data and Analytics offerings (e.g., BigQuery, Looker, Dataproc, Pub/Sub, etc.).
- Ability to engage and influence executive stakeholders as a business advisor and thought leader in data and analytics.
- Excellent business acumen and problem-solving skills.
- As a member of the Google Cloud team, you inspire leading companies, schools, and government agencies to work smarter with Google tools like Google Workspace, Search, and Chrome. You advocate for the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing what's right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for Google products, you help spread the magic of Google to organizations around the world.
- In this role, you will build an understanding of our customers businesses and bring expertise to executive-level relationships to help them deliver their strategies. You will leverage expertise promoting data analytics and work with account teams, customer engineering, and partners to ensure customer outcomes.
- Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. 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.
- ResponsibilitiesCalibrate business against the objectives and key results, forecast and report 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 strategic account plans, including a broader enterprise plan across key industries. Focus on building accounts.
- Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, articulating key solution differentiation and measurable business impacts.
- Work with Google account and technical teams to develop and drive pipelines, 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 alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.
2 days ago
See morekeyboard_arrow_down
SAVE JOB
UNSAVE JOB
Skills:
Data Analysis, Finance, SQL, English
Job type:
Full-time
Salary:
negotiable
- Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
- Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
- Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
- ML Model creation: Create data analytic model including both deterministic and machine learning model.
- AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
- Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
- Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
- Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
- Decision-making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.
- Master's degree in Finance, Business, Engineering, or a related field.
- Strong business acumen, with a deep understanding of retail and wholesale business.
- 3+ years of proven experience as a data analytic role (Retail or E-Commerce business is preferable).
- Hands-on Experience in SQL, data cloud platform (e.g., Databricks, Snowflake, GCP, or AWS), and high proficiency in Excel.
- Good Knowledge of Statistics.
- Experience in Python (Pandas, Numpy, SparkSQL), Data Visualisation (Tableau, PowerBI) is a plus.
- Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
- Fluent in Thai and English.
- Having a good attitude toward teamwork and willing to work hard.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: 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. .
7 days ago
See morekeyboard_arrow_down
SAVE JOB
UNSAVE JOB
Experience:
2 years required
Skills:
Market Planning, SAP, English
Job type:
Full-time
Salary:
negotiable
- Be responsible for design, implement and deliver the functional and technical components of the planning, budgeting and forecasting solutions.
- Able to interact with clients to understand the business requirements to conclude blueprint, configuration, testing, migration, support, and continuous enhancements.
- Responsibilities include, using knowledge of accounting functions on General Ledger, Asset Accounting, Controlling and Profitability process areas.
- Focusing on SAP SAC and SAP Datasphere on development and deployment of business Intelligence Solutions to support business requirements using SAC Planning.
- SAP Business Planning and Consolidations BPC, BusinessObjects Business Intelligence BO BI and Data Warehouse BW skills will be an advantage.
- Bachelor s degree in IT or equivalent work experience.
- Minimum 2 years of experience in managing SAP Analytical and/or Reporting work streams for large or complex systems for various industry sectorsExperience on SAC BPC as a planning tool,.
- Designing implementing data models and data conversionDemonstrates thought proven abilities and technical experience with SAP.
- Analytics technologies S 4HANA Embedded Analytics, BW 4HANA, SAP Fiori, Google Azure AWS Cloud technologies and BI visualization tools.
- Good Understanding of SAP data structures, End to End dataflow, SAC predictive capabilities, augmented analytics, planning, budgeting, forecasting, etc.
- Ability to be flexible and work analytically in a problem solving environment.
- Ability to travel to client sites local or overseas.
- Excellent leadership, communication written and oral and interpersonal skills.
Today
See morekeyboard_arrow_down
SAVE JOB
UNSAVE JOB
Send me latest jobs fordata warehouse business intelligence
- 1