Data Science and Analytics Specialist

Google

Singapore

On-site

SGD 120,000 - 180,000

Full time

4 days ago
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Job summary

Google is seeking a Data Science and Analytics Specialist in Singapore to work within BizOps, applying quantitative analysis to business challenges and communicating findings to executives.

You will bridge market research with data analysis, manage large datasets, and contribute to marketing performance through data-driven insights and compelling narratives.

Qualifications

  • Bachelor's degree in a quantitative field.
  • Experience with statistical software (R, SAS, Python) and SQL.

Responsibilities

  • Execute research and analysis tasks within marketing projects.
  • Select methods, tools, and processes to address technical challenges.
  • Support senior decision-makers by delivering research insights.
  • Assist in research and measurement to improve marketing performance.
  • Use AI tools to create dashboards and report key metrics.

Skills

Statistics
Data Science
Mathematics
Physics
Economics
Operations Research
Engineering

Education

Bachelor's degree in quantitative field

Tools

SQL
Python
R
SAS

Job description

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

Minimum qualifications:
  • Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • Experience in statistical (e.g., R, S-Plus, SAS, Python or similar) and database software (e.g., SQL or equivalent).
Preferred qualifications:
  • 2 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
  • Foundational experience with data visualization tools (e.g., charts, graphs, dashboard creation), and interest or foundational training in market research methodologies (quantitative and qualitative).
  • Understanding of the full market research lifecycle, including working with external agencies, drafting RFPs, and reviewing survey questionnaires or discussion guides.
  • Ability to critically evaluate data and translate technical analytics into non-technical, persuasive business reports and commentary.
About The Job

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

As a Data Science and Analytics Specialist, you will possess a strong technical and coding foundation—specifically in SQL, Python, or equivalent, and data pipeline management—and are eager to apply these skills within the domain of consumer insights (market insights for our Marketing organization). You will bridge the gap between traditional market research and data analysis. You will focus on completing tasks within the scope of larger analytical outcomes, utilizing an analytical mindset to manage large, complex datasets.

Your contributions will be direct and task-oriented, operating under the general guidance of a manager or senior researcher. Google will provide you with comprehensive training and mentorship in market research methodologies, primary/secondary data analytics, and the art of building compelling insight narratives. You will assist in the research and application of data-driven insights that have a tangible impact on marketing performance, such as business case development and trend analysis.

Responsibilities
  • Execute research and analysis tasks within the scope of broader, mission-critical marketing projects.
  • Select appropriate research or analysis methods, tools, and processes from options provided by senior team members to address specific technical challenges.
  • Support senior key decision-makers by delivering research and analysis insights that clarify implications for projects, programs, or services.
  • Assist in conducting research and measurement to support and improve overall marketing performance and organizational thinking.
  • Utilise AI capabilities (e.g. Jetski) to create tools as required for the communication or analysis and reporting of key product or marketing metrics.

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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