Partner Marketing Strategy & Operations Senior Analyst

Salesforce Salesforce · Enterprise · Mexico City, Mexico

This role is for a Partner Marketing Strategy & Operations Senior Analyst at Salesforce, focusing on leveraging AI-augmented analytics to drive strategic decisions. The analyst will transform complex data into actionable insights, build dashboards, write SQL queries, and troubleshoot data issues. A key aspect of the role involves using and evaluating AI-assisted tools for analytics, including natural-language-to-SQL workflows and AI-assisted drafting for executive summaries. The role requires strong technical skills in data visualization (Tableau) and SQL, deep familiarity with Salesforce data architecture, and experience with AI-assisted analytics workflows. While the company is AI-focused, the role itself is not directly building AI models but rather using AI tools to enhance analytical processes for marketing and business outcomes.

What you'd actually do

  1. Partner with stakeholders across the organization to understand business questions, define analytical requirements, and deliver timely, high-quality insights
  2. Build and maintain dashboards and data visualizations that make complex performance trends accessible and actionable for executive and operational audiences
  3. Write and optimize SQL queries across multiple data sources and complex data models to surface accurate, reliable metrics
  4. Own end-to-end data problem-solving — from identifying data quality issues and tracing them to their root cause, to proposing and implementing clean, scalable solutions
  5. Leverage AI-assisted analytics tools (including Smartsheet automation, AI-powered slide building, data dictionaries, and similar platforms) to accelerate delivery and improve output quality

Skills

Required

  • Tableau
  • Advanced SQL proficiency
  • Salesforce data architecture
  • Data cleaning, deduplication, reconciliation, and documentation
  • AI-assisted analytics workflows

Nice to have

  • dbt
  • Snowflake
  • BigQuery
  • Redshift
  • prompt engineering
  • quality control of AI-generated SQL
  • evaluating and selectively deploying AI tools
  • Einstein
  • Agentforce
  • Copilot

What the JD emphasized

  • AI-augmented analytics
  • AI tools as everyday instruments
  • AI-assisted analytics workflows
  • AI-assisted drafting