Business Intelligence Data Analytics Engineer (Snowflake, Fivetran, Tableau)

Team: Finance

Location: Hyderabad India

Commitment: Regular Full-Time

Workplace Type: hybrid

Job Responsibilities

• Design, build, and maintain scalable data pipelines using Fivetran to ingest data from Salesforce, ERP, and other business systems into Snowflake. 

• Own the data transformation layer between raw ingested sources and analytics-ready datasets, ensuring models are clean, tested, documented, and aligned to Finance and GTM reporting needs. 

• Build and maintain Tableau dashboards and reporting assets to track key financial and go-to-market metrics, including pipeline coverage, ARR/NRR, revenue retention, quota attainment, and other GTM activities. 

• Partner with Finance and cross-functional stakeholders to translate business questions into data models, metrics definitions, and dashboard solutions. 

• Validate data accuracy and reconcile financial and operational metrics across source systems (CRM, ERP, and other systems of record) and the Snowflake data warehouse. 

• Manage data warehouse objects in Snowflake, including schema design, virtual warehouse configuration, role-based access controls, and query optimization. 

• Define and enforce KPI definitions, data source documentation, and metric governance to drive consistent reporting across Finance and GTM teams. 

• Analyze customer, revenue, and product usage data to surface trends related to growth, churn, expansion, pricing, and performance. 

• Continuously improve analytics workflows, documentation standards, and self-service reporting capabilities to scale insight delivery across the organization. 

Job Qualification

• 4–7 years of experience in analytics engineering, business intelligence, or a related data role. 

• Hands-on experience with Snowflake and Fivetran in a production environment. 

• Strong SQL skills for querying, joining, and transforming structured data across complex schemas. 

• Experience building and maintaining Tableau dashboards and data sources. 

• Familiarity with CRM data structures, particularly Salesforce objects and reporting. 

• Experience working cross-functionally with Finance, Ops, or GTM teams to support data and reporting needs. 

• Bachelor’s degree in a quantitative, technical, or business fields (e.g., Statistics, Mathematics, Economics, Computer Science, Data Science, Business Analytics). Master’s degree preferred. 

 Technical Skills 

• Snowflake: schema design, virtual warehouse management, RBAC, query optimization, and cost monitoring. 

• Fivetran: connector configuration, sync scheduling, schema change handling, and MAR management. 

• Tableau: advanced dashboard design, calculated fields, LOD expressions, data source management, and Tableau Server/Cloud publishing. 

• SQL: advanced querying across Snowflake; window functions, CTEs, and performance tuning. 

• Salesforce: familiarity with standard and custom objects, SFDC data exports, and CRM reporting structures. 

• Git: version control for analytics codebases. 

• Python (preferred) for data analysis, automation, and supplemental data processing tasks. 

 Analytical & Business Acumen 

• Solid understanding of SaaS business metrics (ARR, NRR, churn, pipeline coverage, quota attainment) and how they flow through financial and GTM reporting. 

• Ability to integrate, clean, and analyze data from disparate source systems into a coherent, governed data model. 

• Skilled in translating complex data into clear narratives, actionable insights, and strategic recommendations for Finance and executive audiences.