Strategic Analytics Lead, AI-Driven Customer Success

Salesforce

Indiana (PA)

On-site

USD 90,000 - 130,000

Full time

3 days ago
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Job summary

Salesforce is seeking a Senior Analyst of CS Strategy & Analytics to shape the long-term direction of our Customer Success organization through data-driven insights. You will drive product adoption strategy, analytics innovation, and scalable engagement motions in an AI-first world.

You will independently lead strategic initiatives, partner with senior stakeholders, and scale analytics quality and self-service capabilities.

Qualifications

  • Bachelor's degree in a data-related field with strong analytical foundation.
  • Experience translating data insights into actionable business recommendations.
  • Proven ability to work with large, complex datasets to influence strategy.

Responsibilities

  • Drive analytics productization and self-service reporting to reduce ad-hoc requests.
  • Coach team on Tableau and analytics best practices to improve dashboards and outputs.
  • Analyze large datasets to extract meaningful insights for strategic decision-making.
  • Develop data models to derive actionable insights at scale.
  • Design and maintain interactive Tableau dashboards and reports.
  • Build machine learning features and models with guidance from senior team members.
  • Collaborate with engineering, product, and business teams to deploy data solutions.

Skills

SQL
Python/R
Statistics
Data analysis
Stakeholder communication
Strategic thinking
Self-motivation

Education

Bachelor's Degree in Data Science, Economics, Finance, Math/Statistics or related field

Tools

Tableau
TableauNext

Job description

Salesforce is seeking a Senior Analyst of CS Strategy & Analytics to shape the long-term direction of our Customer Success organization through data-driven insights. You will drive product adoption strategy, analytics innovation, and scalable engagement motions in an AI-first world.

You will independently lead strategic initiatives, partner with senior stakeholders, and scale analytics quality and self-service capabilities.

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