Analytics Engineer

Salesforce
Hyderabad, Bengaluru
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 5-8 yearsEducation: mastersSkills: ["Communication","Executive presence","Problem-solving","Strategic thinking","Leadership"]

Build and deliver trusted, governed golden data assets that power Salesforce Customer Success decisions and products. Create self-serve analytics capabilities so users can access and act on data with minimal friction. Partner with Data Engineering, Architecture, Platform, and Governance to ensure scalable, reliable data products aligned to enterprise standards, and define success metrics that demonstrate impact and ROI across the CS portfolio.

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FursaFursa
Salesforce
Salesforce
3 hours ago

Analytics Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and deliver trusted, governed golden data assets that power Salesforce Customer Success decisions and products. Create self-serve analytics capabilities so users can access and act on data with minimal friction. Partner with Data Engineering, Architecture, Platform, and Governance to ensure scalable, reliable data products aligned to enterprise standards, and define success metrics that demonstrate impact and ROI across the CS portfolio.
Location: Hyderabad, Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Develop canonical, single-source-of-truth golden data assets for Customer Success teams across multiple organizations.
  • •Build self-serve data capabilities that let users access, explore, and act on trusted data with minimal friction.
  • •Partner with leadership to identify and prioritize high-value data product opportunities that improve decision-making, automate workflows, and accelerate growth.
  • •Work across Data Engineering, Architecture, Platform, and Governance to ensure data products are scalable, reliable, and aligned with enterprise standards.
  • •Define success metrics and target setting for the Customer Success data product portfolio and establish development practices like roadmap planning, backlog management, and agile delivery.

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, AI, Information Technology, or a related field.
  • •5-8 years of proven experience as a Data Analytics and BI Engineer or Product manager.
  • •Strong knowledge of Advanced SQL, statistical literacy, and agentic AI skills development.
  • •Proficiency with SQL (Snowflake), Python, Tableau, and other BI tools.
  • •Experience with version control (Git) and CI/CD pipelines for production deployment.
Experience:5-8 yearsAnalyticsBIAI
Education:Master's in Computer Science, AI, Information Technology
Skills:CommunicationExecutive presenceProblem-solvingStrategic thinkingLeadership
Tech Stack:SQLSnowflakePythonTableauGitCI/CDGDPRCCPALLMsClaude CodeGeminiAPIsDashboardsMachine learningAgentic AIHypothesis testingP-values

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
WebsiteLinkedInGlassdoor