AI-Driven Analytics Engineer for Digital Success

Salesforce, Inc.; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Salesforce, Inc. is seeking a Senior Analytics/BI professional to join the Digital Success Analytics team in Austin, TX. You will drive decision-grade insights from diverse data sources, build predictive models, and create dashboards to inform leadership and product teams.

The role emphasizes AI-ready analytics, data governance, and collaboration with IT Data Engineering and Platform teams. Strong SQL, Python, Tableau, and storytelling skills are essential.

Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Data Science, AI, Information Technology, or a related field.
• 7-8 years of experience in analytics, as a Data Analyst, Analytics Engineer, Data Scientist, or BI Engineer.

Responsibilities

• Deliver decision-grade insights by analyzing customer, case, chat, voice, and in-app behavior, turning findings into actionable recommendations.
• Measure and compare product performance with launch-tracking, A/B and cohort analyses, and KPI definitions.
• Build predictive models for forecasting, segmentation, anomaly detection, and root-cause analysis; move from prototype to production.
• Define the North Star metrics for the analytics portfolio and support ROI demonstration.
• Establish a single source of truth for metrics across customer success functions and collaborate with Data Engineering.

Skills

Advanced SQL

Python for analysis

Statistical methods

Tableau / BI tools

Data storytelling

Executive communication

AI/ML familiarity

Education

Bachelor's or Master's degree in Computer Science, Statistics, Data Science, AI, Information Technology, or related field

Tools

Snowflake

Tableau

Git

CI/CD

Job description

Salesforce, Inc. is seeking a Senior Analytics/BI professional to join the Digital Success Analytics team in Austin, TX. You will drive decision-grade insights from diverse data sources, build predictive models, and create dashboards to inform leadership and product teams.

The role emphasizes AI-ready analytics, data governance, and collaboration with IT Data Engineering and Platform teams. Strong SQL, Python, Tableau, and storytelling skills are essential.