Senior Analytics Engineer

Salesforce

Senior Analytics Engineer at Salesforce leading data product initiatives for Customer Success teams. Championing data transparency and accessibility through innovative solutions and partnership.

Posted 6/11/2026full-timeBangalore • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Champion the development of canonical, single-source-of-truth golden data assets that serve Customer Success teams across, Customer Support, Digital Success, Training, Certifications, Success Guides and Architects.
Build self-serve data capabilities that empower users to access, explore, and act on trusted data with minimal friction
Partner with leadership across the company to identify and prioritize the highest-value opportunities where data products can improve decision-making, automate workflows, and accelerate growth
Work across Data Engineering, Architecture, Platform, and Governance teams within IT as well as our key partners in Analytics & Data Science to ensure data products are scalable, reliable, and aligned with enterprise data standards
Own the target-setting process and success metrics for the CS portfolio, using data to demonstrate impact, ROI and continuously raise the bar
Establish and evolve product development practices across the team, including roadmap planning, backlog management, agile delivery, and cross-functional coordination
Influence external product roadmap with best internal practices through effective storytelling, clear documentation, enablement programs, and change management
Data Instrumentation & Strategy: Defining what data needs to be collected to measure product success.
Data Governance & Ethics: Managing data privacy (GDPR/CCPA) and ensuring the ethical use of AI/ML models.
Defining "North Star" Metrics: Moving beyond vanity metrics to find the data points that actually correlate with long-term growth.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, AI, Information Technology, or related fields.
5-8 years of proven experience as a Data Analytics and BI Engineer Product manager
Strong knowledge of Advanced SQL, Statistical Literacy, and agentic AI skills development.
Familiarity with the Salesforce ecosystem
Proficiency with SQL(Snowflake), Python, Tableau and other BI tools
Skilled in version control (Git) and CI/CD pipelines for production deployment.
Analytical Skills Ability to translate complex AI and Data research into actionable engineering solutions.
Proficiency in finding insights and building predictive tools and visualizations for story-telling
Understanding probability distributions, hypothesis testing, and "p-values."
Strong problem-solving skills and the ability to think strategically about emerging technologies.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Advanced SQLStatistical LiteracyAI skills developmentPythonTableauSQL (Snowflake)Data InstrumentationData GovernanceData Privacy (GDPR/CCPA)Predictive tools

Soft Skills

Analytical SkillsProblem-solvingStrategic thinkingStorytellingCross-functional coordinationChange managementEffective communicationLeadershipRoadmap planningBacklog management

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceCertification in Data AnalyticsCertification in Business IntelligenceCertification in AI/ML