Technical Data Analyst

Salesforce, Inc.; Ciudad de México; On-site; MXN 600,000 - 900,000; Full time

Job summary

Salesforce, Inc. in Mexico City is seeking a detail-oriented Technical Data Analyst to join the Master Data Management (MDM) Product Management team.

You will perform data profiling, analyze data quality, identify trends, and support UAT and technical implementations in Informatica MDM and Data 360. Collaborate with Data Stewards, Product Managers, users, and engineers to resolve data issues, triage defects, and drive data quality across platforms.

Qualifications

• 3 years of hands-on experience in data analysis, data quality analysis, or technical support roles.
• Strong SQL and data profiling skills to analyze large datasets and diagnose anomalies.
• Knowledge of Data Quality concepts, error tracking, and profiling techniques.
• Experience with Informatica MDM and Data 360 platforms.
• Experience with issue tracking and triaging defects with engineering teams.

Responsibilities

• Data profiling, trend analysis, and data quality management for MDM domain.
• Triage defects and work with engineers to resolve issues.
• Support UAT and validate data fixes during implementations.
• Provide first-line data issue triage for data stewards and product managers.

Skills

SQL

Data profiling

Data quality

Analytical mindset

Communication

Tools

Informatica MDM

Data 360

Job description

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.

Qualifications

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

At Salesforce, we strive to create an accessible and inclusive experience for all candidates.

Equal Opportunity 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.