Technical Data Analyst

Salesforce; Ciudad de México; On-site; MXN 480,000 - 720,000; Full time

Job summary

Salesforce, Inc. is seeking a detail‑oriented Technical Data Analyst to join the Master Data Management team in Mexico City. You will perform data profiling, trend analysis, and data quality management while triaging issues and supporting UAT and platform implementations across Informatica MDM and Data 360.

Working closely with Data Stewards, Product Managers, Users, and Engineers, you will analyze data anomalies, identify root causes, and help ensure data integrity across critical datasets.

Qualifications

• 3 years of hands-on experience in data analysis or data quality roles.
• Experience with data profiling and data quality concepts.
• Exposure to Informatica MDM and Data 360 preferred.

Responsibilities

• Profile data and monitor quality across Informatica MDM and Data 360.
• Write SQL queries to inspect datasets and identify anomalies.
• Triage defects and support UAT and data validation tasks.
• Collaborate with Data Stewards, Product Managers, and Engineers.

Skills

SQL

Data profiling

Data quality

Informatica MDM

Data 360

Issue tracking

Analytical mindset

Communication

Tools

Python

Tableau

Job description

Job Category

Enterprise Technology & Infrastructure

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.

Technical Data Analyst to address DQ and End User issues, manage , prioritze and work with internal and stakeholder scrum team for issue resolution.

Role Overview

We are seeking a detail-oriented, hands‑on Technical Data Analyst to join our Master Data Management (MDM) Product Management team. This role is focused on core data profiling, trend analysis, data quality management, and first-line issue triage for our Informatica MDM and Data 360 platforms. Working closely with Data Stewards, Product Managers, Users, and Engineers, you will analyze data anomalies, identify root causes, monitor recurring trends, manage defects, and support UAT and key technical implementations.

Key Responsibilities

• Data Profiling, Trends & Quality Management
• Hands‑on Data Profiling: Write strong SQL queries to profile, inspect, and analyze incoming and existing data datasets across Informatica MDM and Data 360.
• Data Quality (DQ) Management: Monitor, measure, and flag data quality issues, exception patterns, and entity resolution mismatches to ensure platform data integrity.
• Data Trend Analysis: Identify and report on recurring data trends, systemic error patterns, and operational bottlenecks across team and system boundaries.
• First-Line Support: Act as the first point of contact for Data Stewards, Product Managers, and end users on operational data inquiries and platform issues.
• Root Cause & Defect Triage: Perform deep‑dive data investigations to uncover root causes of issues and work directly with engineers to track, manage, and resolve defects.
• UAT Support & Technical Implementation
• UAT Execution Support: Assist with User Acceptance Testing (UAT) by validating data fixes, running test queries, and guiding stewards through test cases.
• Implementation Support: Support data validation and verification tasks during platform updates and technical feature rollouts.

Minimum Qualifications

• 3 years of hands‑on experience in data analysis, data quality analysis, or technical support roles.
• Strong SQL & Data Profiling: Proven ability to write SQL scripts to analyze large datasets, diagnose data anomalies, and perform trend analysis.
• Data Quality Focus: Demonstrated understanding of Data Quality (DQ) management concepts, error tracking, and data profiling techniques.
• MDM & Data Tools: Exposure to or working knowledge of Informatica MDM and Data 360 platforms.
• Experience using issue/defect tracking tools to document and triage bugs with engineering teams.
• Strong analytical mindset and communication skills to work across team boundaries with stewards, users, and engineers.
• Preferred Qualifications
• Familiarity with data stewardship processes (golden record rules, entity resolution, deduplication, hierarchy mapping).
• Basic exposure to Python or (Tableau) for data quality reporting.
• Familiarity with AI tools and ability to spin up quick dashboards and reports

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.