Data Analytics Analyst

Salesforce•Indianapolis, IN

1d•$80,900 - $122,300•Hybrid

About The Position

Salesforce is seeking a Tableau Data Visualization Analyst for its Global Field Readiness team, which aims to be a strategic intelligence engine for talent development and optimization. The role involves transforming complex enablement and readiness data into actionable visual stories to aid stakeholders in making informed decisions. The analyst will collaborate with Field Readiness, TechOps, and the Data Office to derive insights from data that support seller development and enablement programs.

Requirements

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 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 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 Haves

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.

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 our 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.