AI-Driven Product Analytics Leader

Globenet Consulting Corp

Bellevue (WA)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Competitive salary
Advancement opportunities
Training & development

Job summary

Globenet Consulting Corp in Bellevue, WA is seeking a Decision Scientist to partner with Digital Product Managers, Engineering, UX, Operations and Analytics to drive data-driven decisions across digital ordering experiences. This role blends advanced analytics, forecasting, AI-enabled insights, and business performance analysis to improve digital experiences, operational efficiency, and product outcomes.

The candidate translates complex findings into clear recommendations for product leaders and

Qualifications

  • Bachelor's degree in analytics, data science, statistics, economics, business, CS, or related field preferred.
  • At least four years of experience in strategic analytics, product analytics, or decision support.
  • At least five years of experience communicating analytical findings and delivering detailed outputs.
  • Advanced proficiency in SQL, Excel, Python, R, SAS, Tableau, or Power BI.
  • Experience with Azure Data Lake Storage, Azure SQL Server, Oracle, AWS, and on-premises systems.

Responsibilities

  • Analyze performance across product, operations, and digital experiences to identify trends, risks, and opportunities.
  • Develop recommendations to influence prioritization, roadmap, feature optimization, and investments.
  • Build analytical models, forecasts, scenario planning tools, and ROI assessments.
  • Define KPIs and monitor product, operations, and business outcomes.
  • Lead experimentation, measurement strategies, and evaluation of pilots and experiments.

Skills

SQL
Excel
Python
R
SAS
Tableau
Power BI

Education

Bachelor's degree in analytics or related field

Tools

Azure Data Lake Storage
Azure SQL Server
Oracle
AWS
On-Premises systems
Web-based data sources

Job description

Globenet Consulting Corp in Bellevue, WA is seeking a Decision Scientist to partner with Digital Product Managers, Engineering, UX, Operations and Analytics to drive data-driven decisions across digital ordering experiences. This role blends advanced analytics, forecasting, AI-enabled insights, and business performance analysis to improve digital experiences, operational efficiency, and product outcomes.

The candidate translates complex findings into clear recommendations for product leaders and

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