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Data Analytics AnalystSalesforceChicago, Illinois, United States
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Data Analytics Analyst

Salesforce
  • US
    Chicago, Illinois, United States
  • US
    Chicago, Illinois, United States

About

Tableau Data Visualization Analyst — Field Readiness Data Office The Global Field Readiness team is on a mission to become the strategic intelligence engine that transforms how Salesforce develops, enables, and optimizes talent at scale. As part of the data team, you will transform complex enablement and readiness data into compelling, actionable visual stories that empower stakeholders to make faster, smarter decisions.
Responsibilities
Design, develop, and maintain interactive Tableau dashboards and reports that track enablement completion, readiness metrics, and program performance
Connect and blend data across Salesforce orgs, Readiness platforms, and other internal data sources to build comprehensive enablement views
Partner closely with Field Readiness, TechOps, and the Data Office engineering team to align data outputs with strategic priorities
Ensure data accuracy, integrity, and consistency across all published dashboards in support of the AI‑enabled enablement vision
Identify trends, patterns, and anomalies in enablement data and proactively surface insights to leadership
Support the evolution from reactive reporting to predictive, personalized analytics aligned to the FY27 roadmap
Document data sources, metric definitions, and best practices to support scalable, governed analytics
Train and uplevel team members on Tableau usage and data literacy across the organization
Qualifications
3+ years of experience in data visualization, BI, or analytics roles
Proficiency in Tableau (Tableau Desktop and Tableau Cloud/Server); familiarity with Tableau Next and Tableau Pulse is a strong plus
Strong SQL skills and experience with Salesforce data models and reporting objects
Experience connecting to and analyzing data from Salesforce orgs
Solid understanding of enablement, learning & development, or HR analytics data is a significant advantage
Excellent communication skills — able to translate complex data into clear narratives for both technical and non‑technical audiences including senior leadership
Passion for data‑driven enablement and continuous learning
Bachelor's degree in Data Science, Statistics, Business, or related field (or equivalent experience)
Nice to Have
Tableau certification (Tableau Desktop Specialist or Tableau Certified Data Analyst)
Experience with AI/ML concepts, prompt engineering, or LLM‑integrated analytics
Familiarity with Snowflake, dbt, or similar data transformation tools
Experience in Sales Enablement or Revenue Operations
What We Offer
A front‑row seat in transforming how Salesforce enables and develops talent through AI‑amplified analytics
A collaborative, bold team culture that ships working models and proves value
Direct exposure to senior leadership and high‑visibility strategic programs
Continuous learning, development, and certification opportunities
Competitive compensation and benefits package including time off, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), stock purchase program, and equity opportunities
Compensation The typical base salary range for this position is $80,900 - $122,300 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
Equal Opportunity Employer Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. All employment decisions are made on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, disability, veteran or marital status, or other protected classifications.
Accommodations If you need a reasonable accommodation during the application or recruiting process, please submit a request via our Accommodations Request Form.
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  • Chicago, Illinois, United States

Languages

  • English
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