Lead Analytics Engineer

Salesforce

Lead Analytics Engineer developing and executing data solutions in the context of customer success. Partnering with various teams to ensure delivery of scalable and reliable data products.

Posted 5/22/2026full-timeHyderabad • 🇮🇳 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
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
Work across Data Engineering, Architecture, Platform, and Governance teams within IT as well as key partners in Analytics & Data Science to ensure data products are scalable and reliable
Own the target setting process and success metrics for the CS portfolio
Establish and evolve product development practices across the team
Influence external product roadmap with best internal practices through 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 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
10+ 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.
Ability to translate complex AI and Data research into actionable engineering solutions
Proficiency in finding insights and building predictive tools and visualizations for storytelling
Understanding probability distributions, hypothesis testing, and 'p-values.'
Strong problem-solving skills and the ability to think strategically about emerging technologies.
The 'Modern' Analyst Skill (AI Literacy)
Exceptional communication and executive presence, with the ability to translate complex technical strategies into compelling narratives for C-suite audiences
Proven ability to define and execute a vision for trusted, governed data assets and scalable self-serve data capabilities
Experience building and scaling self-serve analytics and data enablement programs
Experience partnering with and influencing partner organizations across the company at the leadership level
Ability to operate effectively in fast-paced, ambiguous environments, balancing long-term strategic thinking with near-term execution

Benefits

Comp & perks

Accommodations if needed during the application or recruiting process
AI agents to support and accelerate impact

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Advanced SQLStatistical LiteracyAI skills developmentSQL (Snowflake)PythonTableauVersion control (Git)CI/CD pipelinesData InstrumentationData Governance

Soft Skills

Problem-solvingStrategic thinkingExceptional communicationExecutive presenceStorytellingChange managementInfluencingCollaborationVision executionAdaptability

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceBachelor’s degree in AIMaster’s degree in AIBachelor’s degree in Information TechnologyMaster’s degree in Information Technology