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AI Native, Strategic Analytics Manager

3 hours, 4 minutes ago
United States
Full-time
Mid Level
Data Analyst
Data Science and Analytics
LLM Power BI Python SEO SQL Tableau
Apply Now
ConsumerAffairs

ConsumerAffairs

ConsumerAffairs.com: Your go-to for consumer news, reviews, complaints, and recalls. Empowering smart decisions and amplifying consumer voices worldwide.

Diversified Consumer Services
51-250
Founded 1998
View All Jobs 2

Description

  • Analyze large and complex datasets to identify trends, patterns, and insights that inform product strategy, experimentation, and AI-enabled decision-making.
  • Design and build scalable dashboards, data models, and self-serve tools that enable Product and cross-functional teams to answer business questions independently.
  • Partner with Product Managers to support A/B testing, conversion optimization, SEO performance, and matching tool enhancements.
  • Develop and validate analytical and classification models for production decision systems, with reliable and deterministic behavior where required.
  • Translate ambiguous business questions into structured analytical frameworks and AI-assisted workflows.
  • Present findings and strategic recommendations to senior leadership in a clear, actionable, and decision-oriented manner.
  • Monitor the performance of experiments, product initiatives, and AI-driven systems, and recommend iterative improvements based on data.
  • Stay current with emerging analytics and AI technologies and identify opportunities to responsibly scale AI capabilities across the organization.
  • Support pricing and growth modeling to improve product and business performance.
  • Ensure data foundations and analytical infrastructure are designed to scale experimentation, product optimization, and AI workflows.

Requirements

  • Bachelor’s degree in Business, Economics, Statistics, Data Science, or a related field.
  • 3-5 years of experience in data analysis, business intelligence, or a related role.
  • Advanced proficiency in SQL is required.
  • Strong Python skills are preferred for modeling, experimentation analysis, and automation.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Experience building scalable, self-serve analytics solutions.
  • Strong understanding of data warehouse architecture and data modeling principles.
  • Experience supporting experimentation frameworks, including A/B testing, conversion analysis, and performance measurement.
  • Familiarity with classification models, predictive modeling, or AI-assisted analytical workflows.
  • Working knowledge of large language models (LLMs), GPT-based systems, and practical business applications of AI.
  • Ability to design analytical systems that produce reliable, consistent, and deterministic outputs where required.
  • Demonstrated ability to take initiative, think systemically, and translate complex data into clear, actionable insights.
  • Highly curious, driven, disciplined, and able to communicate effectively with others.
  • Experience in the industry is beneficial.

Benefits

  • Medical, dental, and vision health coverage.
  • 401(k) retirement plan.
  • Basic, voluntary, and AD&D life insurance.
  • Paid time off, including vacation, sick leave, and public holidays.
  • Family leave, including maternity and paternity leave.
  • Short-term and long-term disability coverage.
  • Training and development opportunities.
  • A collaborative environment that encourages initiative, experimentation, and professional growth.

Interested in this position?

Apply directly on the company website

Apply Now

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