52 Google Analytics jobs in Singapore

Top Customer Solutions Engineer, Data Analytics, Google Cloud
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Top Customer Solutions Engineer, Data Analytics, Google Cloud
role at
Google
Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa. This role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work.
Minimum qualifications
Bachelor's degree in Science, Technology, Engineering, or equivalent practical experience.
6 years of experience troubleshooting and advocating for customers' needs, triaging technical issues, or software development.
Experience creating content for technical audiences (e.g., developer documentation, industry white papers, Computer Science course material, or IT administration playbooks).
Experience writing, reading, and debugging code in one of the following: Java, C, C++, Python, or Go.
Preferred qualifications
Experience in crisis response or escalation management across multiple teams, with the ability to influence momentum of incident response for critical customer issues.
Experience working with any public cloud services and infrastructure (e.g., Google Cloud Platform).
Experience developing developer tools (e.g., automation, testing, debugging).
Experience administering and querying data in distributed, columnar or analytic oriented databases or distributed data processing frameworks.
Experience with open source distributed storage and processing utilities in the Apache Hadoop family or workflow orchestration products.
Experience in data analytics, warehousing, ETL development, data science or other Big Data applications.
About The Job
As a Solutions Engineer, you will own the large and important customer issues in addition to help improve customer experiences. You will be a part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud. You will provide service to our most critical customers with complex environments, aiming to anticipate their needs, improve product performance, and enable customer success across complex environments.
The High Touch Support team’s focus on solutions and customer‐centric supportability helps avoid issues, build customer trust, enable customers' continuous growth and success on GCP. You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will make our products easier to adopt and use by making improvements to the product, tools, processes and documentation.
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.
Responsibilities
Work with customers on their production deployments to resolve issues and achieve product readiness and availability. Triage and manage technical escalations, platform outages, technical issues, and executive concerns.
Develop an understanding of Google Cloud’s product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer‐reported issues, building tools, and faster diagnosis.
Serve as consultant and subject matter expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud.
Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, to find ways to improve the product, and drive production.
Work as part of a team of developers/consultants that globally ensure 24‐hour customer support. This will include a need to work non‐standard work hours/shifts, and may include weekend work.
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.
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Front-office Analytics and Tools Product Manager
Overview: The Platform Strategy Team is responsible for planning the roadmap of Analytics deliveries used for Derivatives valuation & Risk management. The customer base includes Portfolio managers using these tools to construct Pre-Trade ideas and post-trade Risk management. The position involves specifications management and planning the build out of tools that carry out numerical modelling using internal pricing library.
Responsibilities
In charge for defining presentation and uptake mechanisms for Front-office analytics solutions.
To interface with Portfolio Managers, Quant Researchers, Quant modelers, and Desk Quants for various tooling needs.
Supply specifications to UI Team for building out a flexible, portable, and connected Tools eco system.
Understand gaps in existing interfaces and tools to work on closing that by bringing all relevant stakeholders on the same page.
Act as a last line of defence/ quality controller from a fit-of-purpose perspective before tools are delivered.
Be responsible for on-time delivery of all Quant Analytics by representing the needs of the business holistically and carry out active milestone tracking.
Skills
Understanding of different asset classes and the associated instrument types in one or more of FX/Rates/Equity asset classes in a Bank/Hedge Fund is a must.
Good knowledge of investment processes and participation in Pre-Trade or Revenue generation for a Trading Desk.
Relevant experience working as Desk Quant/ Structurer/ Stress Tester/Quant Researcher attached to a Trading Desk actively involved in Derivatives Trading or Market Making is a must
Proven track record delivering Pre-trade pricing/ Quant Trading Tools is expected.
Experience
Minimum 5 years of experience actively facing Front-Office teams consisting of Portfolio Managers/Trader/ Quantitative Pricing while supporting a Rates desk/ Hedge Fund.
Degree in Computer Science/Mathematics/ Statistics/ Economics/ Quantitative Finance.
Good knowledge of tooling in Python.
Good-to-have
FRM/ CFA/ CQA
If you hold experience in front office trading tooling, within hedge fund trading, do reach me at for a discussion.
Only successful candidates will be notified.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Product Management, Analyst, and Project Management
Industries
IT Services and IT Consulting, Financial Services, and Banking
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You will be part of the Advisory Services team that promotes upskilling and career development and lifelong learning to various segments of individuals and enterprises through physical and digital touchpoints. Your role will involve managing and analysing data to continuously improve the quality of skill and career advisory. You will need to leverage insights from trends, performance metrics and stakeholder feedback to continually ensure that Advisory Services maintain standards of excellence.

Our ideal candidate is someone with a passion for data analysis and stakeholder engagement.

• Lead or support data-driven quality improvement projects aimed at enhancing advisory services
• Liaise with internal and external stakeholders on data governance matters to ensure data accuracy, consistency, and compliance with standards
• Review and manage case entries and other data sources to ensure integrity and usability for insights generation
• Conduct data analysis to identify trends and insights
• Prepare monthly reports and presentations for internal and/or external stakeholders on identified trends and insights
• Work with other team members to act on insights to improve advisory services continuously
• Handle CRM (Client Relationship Management) cases to address clients' upskilling concerns on an ad-hoc basis
• Coordinate call assignments for Skills Ambassadors
• Perform all other duties assigned by supervisor or manager

• 1 to 3 years of relevant experience
• Strong organisational and data management skills, with the ability to manage monthly reporting
• Comfortable working with large datasets, data visualisation tools (Tableau/ PowerBI) and large language models
• Creative skills to develop visually appealing materials
• Proficiency in using Microsoft Office, especially Excel and PowerPoint, and design software for creating materials
• Possess domain knowledge of the CET landscape and labour market (e.g. in-demand skills and job roles) to contextualize and support relevant data analysis will be an advantage
• Ability to work independently and as part of a team to meet deadlines
• Excellent business writing and communication skills to collaborate with various stakeholders
• Experience in service excellence or CRM will be welcomed

Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.

Please note that only shortlisted candidates will be notified.

You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.

Job Description

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

Requirements

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

• Remuneration bonuses package

• Conducive working environment

• Promising career prospect and advancement

Job Scopes:

• Design and implement data pipelines to extract, transform, and load (ETL) data from various sources to enable real-time visibility and decision-making
• Automate data cleansing and validation processes to improve overall data quality
• Develop and maintain dashboards and reports using business intelligence tools
• Establish data standards, governance frameworks, and best practices for data management
• Identify data quality issues and implement solutions to enhance reliability

Job Requirements:

• Diploma or degree qualification
• 3-5 years of related experience
• Microsoft Office, SQL, Power BI, Oracle
• Analytical and problem-solving skills
• Good communication and collaboration abilities

*** Sincere & Interested applicants, kindly forward your Updated resume (word doc format) to and CC: Allan (R **

You will be part of the Advisory Services team that promotes upskilling and career development and lifelong learning to various segments of individuals and enterprises through physical and digital touchpoints. Your role will involve managing and analysing data to continuously improve the quality of skill and career advisory.You will need to leverage insights from trends, performance metrics and stakeholder feedback to continually ensure that Advisory Services maintain standards of excellence.

Our ideal candidate is someone with a passion for data analysis and stakeholder engagement.

Core Responsibilities

Data Management & Analysis

• Lead or support data-driven quality improvement projects aimed at enhancing advisory services
• Liaise with internal and external stakeholders on data governance matters to ensure data accuracy, consistency, and compliance with standards
• Review and manage case entries and other data sources to ensure integrity and usability for insights generation
• Conduct data analysis to identify trends and insights
• Prepare monthly reports and presentations for internal and/or external stakeholders on identified trends and insights
• Work with other team members to act on insights to improve advisory services continuously

Other

• Support event deployment on an ad-hoc basis
• Handle CRM (Client Relationship Management) cases to address clients' upskilling concerns on an ad-hoc basis
• Coordinate call assignments for Skills Ambassadors
• Perform all other duties assigned by supervisor or manager

Requirements

• 1 to 3 years of relevant experience
• Strong organisational and data management skills, with the ability to manage monthly reporting
• Strong interest in data analysis
• Comfortable working with large datasets data visualisation tools (Tableau/ PowerBI) and large language models
• Creative skills to develop visually appealing materials
• Proficiency in using Microsoft Office, especially Excel and PowerPoint, and design software for creating materials
• Possess domain knowledge of the CET landscape and labour market (e.g. in-demand skills and job roles) to contextualize and support relevant data analysis will be an advantage
• Ability to work independently and as part of a team to meet deadlines
• Excellent business writing and communication skills to collaborate with various stakeholders
• Ability to converse in Mother Tongue is an advantage
• Experience in service excellence or CRM will be welcomed

Candidates who do not have the required qualification or relevant experience are welcome to apply.

Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.

Please note that only shortlisted candidates will be notified.

Customer Solutions Engineer, Data Analytics, Google Cloud (English, Mandarin)
As a Customer Data Analytics Solutions Engineer, you will guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with clients to architect data processing systems, build data pipelines, and resolve platform challenges. You will collaborate with Google cloud customers and our team to implement Google Cloud products.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
6 years of experience in technical support, professional services, or software development, including managing client‐facing projects, troubleshooting, and working with Engineering and Sales teams.
Experience with data processing software (e.g., Hadoop, Spark, Hive) and algorithms (e.g., MapReduce, Flume).
Experience testing, maintaining, or launching software products, including design, architecture, and writing software in Java, C++, or Python.
Ability to participate in on‐call rotation, which may occur outside of standard working hours, including nights, weekends and holidays.
Ability to communicate in English and Mandarin to support client relationship management in this region.
Preferred qualifications
Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
Experience working with Big Data, information retrieval, data mining, or machine learning.
Experience in building multi‐tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow).
Experience architecting, developing software, or internet scale production‐grade Big Data solutions in virtualized environments.
Experience in technical consulting.
Responsibilities
Act as a trusted technical advisor to customers and solve Big Data challenges, as well as analyze database environments and consult on the optimal design for performance and deployment on Google Cloud Platform (GCP).
Create and deliver recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring the approach to different stakeholders.
Manage customer issues through diagnosis, resolution, or implementation of new tools to increase productivity for customer issues on GCP products.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations.
Participate in rotating on‐call schedules including nights, weekends and holidays, to ensure prompt and proper resolution of customer‐impacting technical challenges, as well as travel up to 15% in‐region for meetings and onsite delivery activities.
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.
Seniority level: Not Applicable. Employment type: Full-time. Job function: Project Management, Consulting, and Engineering. Industries: Information Services and Technology, Information and Internet.
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Customer Solutions Engineer, Data Analytics, Google Cloud (English, Mandarin)
Apply
Bachelor's degree or equivalent practical experience.
6 years of experience in technical support, professional services, or software development, including managing client-facing projects, troubleshooting, and working with Engineering and Sales teams.
Experience with data processing software (e.g., Hadoop, Spark, Hive) and algorithms (e.g., MapReduce, Flume).
Experience testing, maintaining, or launching software products, including design, architecture, and writing software in Java, C++, or Python.
Ability to participate in on-call rotation, which may occur outside of standard working hours, including nights, weekends and holidays.
Ability to communicate in English and Mandarin to support client relationship management in this region.
Preferred qualifications:
Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
Experience working with Big Data, information retrieval, data mining, or machine learning.
Experience in building multi-tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow).
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
Experience in technical consulting.
About the job
As part of the team in this growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Customer Data Analytics Solutions Engineer, you will guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with clients to architect data processing systems, build data pipelines, and resolve platform challenges. You will collaborate with Google's cloud customers and our team to implement Google Cloud products.
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.
Responsibilities
Act as a trusted technical advisor to customers and solve Big Data challenges, as well as, analyze database environments and consult on the optimal design for performance and deployment on Google Cloud Platform (GCP).
Create and deliver recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring the approach to different stakeholders.
Manage customer issues through diagnosis, resolution, or implementation of new tools to increase productivity for customer issues on GCP products.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations.
Participate in rotating on-call schedules including nights, weekends and holidays, to ensure prompt and proper resolution of customer-impacting technical challenges, as well as travel up to 15% in-region for meetings and onsite delivery activities.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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