Job Category
Operations
Job Details
**About Salesforce**
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
**About the Role**
**What You'll Do**
- Partner with stakeholders across the organization to understand business questions, define analytical requirements, and deliver timely, high-quality insights
- Build and maintain dashboards and data visualizations that make complex performance trends accessible and actionable for executive and operational audiences
- Write and optimize SQL queries across multiple data sources and complex data models to surface accurate, reliable metrics
- 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
- Navigate Salesforce data structures to extract CRM insights, support pipeline analysis, and connect operational data to business outcomes
- Work across multiple complex data models simultaneously, maintaining accuracy and context-switching efficiently without losing attention to detail
- Connect the dots across disparate datasets and business signals to identify trends, anomalies, and opportunities that others might miss
- Translate data findings into clear recommendations — communicating insights in plain language,



whether in a slide deck, a Slack message, or a stakeholder meeting
- Leverage AI-assisted analytics tools (including Smartsheet automation, AI-powered slide building, data dictionaries, and similar platforms) to accelerate delivery and improve output quality
- Proactively surface risks and opportunities without waiting to be asked — you anticipate what stakeholders need before they know they need it
- Architect natural-language-to-SQL workflows using AI tools to accelerate ad-hoc stakeholder requests, while owning validation and accuracy
- Lead the team's working knowledge of emerging AI analytics tools — evaluating new capabilities, piloting use cases, and documenting what works
- Use AI-assisted drafting for executive summaries and data narratives, then edit for accuracy, audience, and strategic framing
**What We're Looking For**
**Technical Skills**
- Expert-level data visualization — experience with Tableau; ability to design dashboards that drive decisions, not just display numbers
- Advanced SQL proficiency — comfortable writing complex queries, joins, common table expression (CTE), window functions, and performance-tuning across large datasets
- Deep familiarity with Salesforce data architecture — understanding of standard and custom objects, relationships, and how CRM data maps to business processes
- Ability to manage complex, messy datasets — skilled at data cleaning, deduplication, reconciliation,



and documentation
- Experience with AI-assisted analytics workflows — Smartsheet automation, data dictionaries, AI-assisted reporting tools, or similar
**Analytical & Problem-Solving Skills**
- Strong data troubleshooting aptitude diagnosing data discrepancies and relentless in finding the source of truth
- Ability to work across multiple complex data models simultaneously without losing accuracy or context
- Pattern recognition — connects signals across datasets to form a coherent, big-picture view
- Translates raw analysis into clear, actionable business recommendations
**Interpersonal & Communication Skills**
- Clear, confident communicator — able to present technical findings to non-technical audiences
- Strong stakeholder management — builds trust, manages expectations, and maintains productive relationships across functions and levels of seniority
- Proactive and self-directed — raises issues, proposes solutions, and moves work forward without waiting for direction
- High attention to detail — takes pride in the accuracy and quality of every output
**Preferred Qualifications**
- 4-6+ years of experience in analytics, business intelligence, strategy, or marketing operations roles
- Bachelor's degree in Business, Marketing, Economics, Statistics, Computer Science, or a related field; advanced degree a plus
- Experience supporting marketing, revenue operations, or corporate strategy functions
- Exposure to modern data stacks (e.g., dbt, Snowflake, BigQuery, Redshift)
- Demonstrated experience building AI-assisted analytics workflows, including prompt engineering, output validation, and quality control of AI-generated SQL, summaries, or data documentation
- Ability to evaluate an

📌 Partner Marketing Strategy & Operations Senior Analyst (Ciudad de México)
🏢 Salesforce
📍 Ciudad de México