Senior Analytics Engineer, GTM

Zywave; Pune District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Zywave is seeking a Senior Analytics Engineer, GTM to own the revenue data foundation across Salesforce, Snowflake, and GTM systems. You’ll work deeply in SQL, consolidate multi-system data, and build a trusted data layer for accurate reporting in Sales, CS, and Finance.

You’ll create semantic layers, lead data governance, and implement QA checks to ensure leadership dashboards are reliable. US-hours alignment expected.

Qualifications

• 5+ years in analytics engineering, data engineering, BI engineering, or RevOps analytics.
• Strong SQL skills with hands-on Snowflake (or similar) experience.
• Solid understanding of Salesforce data structures (accounts, opportunities, hierarchy, etc.).
• Experience reconciling data across systems and resolving source-of-truth conflicts.
• Strong data governance, lineage, documentation, and QA skills.
• Ability to work U.S. business hours.

Responsibilities

• Build and maintain trusted GTM data models in Snowflake for pipeline, bookings, forecast, renewals, and churn reporting.
• Reconcile Salesforce and Snowflake data so revenue metrics align across systems.
• Lead data cleanup, standardization, and governance across GTM systems.
• Consolidate data from Salesforce and other GTM tools into reliable datasets.
• Build QA checks and reconciliation processes to catch mismatches before leadership reporting.
• Create semantic layers and curated views enabling analysts to build trusted dashboards.
• Use AI tools to accelerate SQL development, QA, documentation, and automation.

Skills

SQL

Data governance

QA processes

Analytical thinking

Tools

Snowflake

Salesforce

Tableau

Looker

Power BI

Sigma

Clari

Gong

Outreach

Gainsight

Job description

Zywave is hiring a Senior Analytics Engineer, GTM to own and improve the revenue data foundation across Salesforce, Snowflake, and other GTM systems. You'll work deep in SQL and Snowflake, consolidate multi-system data, and build the trusted data layer that powers accurate reporting across Sales, CS, and Finance.

What you’ll do:

• Build and maintain trusted GTM data models in Snowflake for pipeline, bookings, forecast, renewals, and churn reporting
• Reconcile Salesforce and Snowflake data so revenue metrics align across systems
• Lead data cleanup, standardization, and governance across GTM systems
• Consolidate data from Salesforce and other GTM tools (marketing, sales engagement, CS, finance platforms) into reliable datasets
• Build QA checks and reconciliation processes to catch mismatches before they hit leadership reporting
• Create semantic layers and curated views enabling analysts to build trusted dashboards
• Use AI tools to accelerate SQL development, QA, documentation, and automation

What you bring:

• 5+ years in analytics engineering, data engineering, BI engineering, or RevOps analytics
• Strong SQL skills with hands-on Snowflake (or similar) experience
• Solid understanding of Salesforce data structures (accounts, opportunities, hierarchy, etc.)
• Experience reconciling data across systems and resolving source-of-truth conflicts
• Strong data governance, lineage, documentation, and QA skills
• Ability to work U.S. business hours

Nice to have:

• Experience in B2B SaaS, insurtech, fintech, or HR tech
• Familiarity with Tableau, Power BI, Sigma, Looker, or Clari, Gong, Outreach, Gainsight