Data Engineer/Data Analyst | Trailhead Content Activation and Business Outcomes

Salesforce
Mexico City
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Troubleshooting","Stakeholder communication","Learner-first mindset","Clear communication","High ownership"]

Build and run the recurring reporting and data pipeline infrastructure that powers Trailhead measurement across content performance, learner satisfaction, and business impact. Maintain dashboards and headless analytics, ingest and structure survey data for recurring feedback reporting, and create join/cohort pipelines connecting learner and CRM data to sales opportunities. Own data quality checks and raw-to-curated flows, and operate AI/natural-language query tools on AI-ready datasets.

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FursaFursa
Salesforce
Salesforce
3 days ago

Data Engineer/Data Analyst | Trailhead Content Activation and Business Outcomes

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build and run the recurring reporting and data pipeline infrastructure that powers Trailhead measurement across content performance, learner satisfaction, and business impact. Maintain dashboards and headless analytics, ingest and structure survey data for recurring feedback reporting, and create join/cohort pipelines connecting learner and CRM data to sales opportunities. Own data quality checks and raw-to-curated flows, and operate AI/natural-language query tools on AI-ready datasets.
Location: Mexico City
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Build and maintain recurring reports and dashboards for the Content Intelligence Engine, including content analytics and performance metrics.
  • •Build and maintain pipelines that ingest survey data (CSAT, confidence pre/post scores, open-text responses) and structure it into recurring feedback dashboards.
  • •Create and maintain join and cohort pipelines that connect learner identity and content completions to business/sales records and sales opportunities.
  • •Maintain data structured for both visual dashboards and for query/agent consumption; ensure raw-to-cleansed-to-curated data flows follow established standards.
  • •Run day-to-day data quality checks (validation, anomaly detection, join-coverage monitoring) and operate AI/natural-language query tools on AI-ready data.

Pay and Benefits

Perks:Wellness StipendParental LeaveAdoption AssistanceFertility BenefitsLearning Budget

Key Requirements

  • •Strong SQL and hands-on ETL/pipeline experience (dbt, Airflow, or similar), with capability to truly run pipelines.
  • •Expert Tableau proficiency (calculated fields, LODs, performance optimization) and a strong eye for clear visualizations.
  • •Comfort working with structured (engagement/CRM) and unstructured (survey/text) data pipelines.
  • •Experience building and maintaining recurring reporting cadences reliably at scale.
  • •Ability to execute within another person’s data architecture/standards and troubleshoot data issues with stakeholders.
Experience:ETLData pipelinesReportingDashboardsSurvey data
Skills:TroubleshootingStakeholder communicationLearner-first mindsetClear communicationHigh ownership
Tech Stack:SQLETLDbtAirflowTableauClaude CodeCursorAI-assisted toolsNatural-language queriesAI/query toolsHeadless BISalesforce Data Cloud

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
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