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

Modeln; Thiruvananthapuram; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Modeln is seeking a Business Intelligence & Analytics Engineer to join our BI team in Thiruvananthapuram. You will partner with Finance and cross-functional teams to build data infrastructure, pipelines, and a reporting layer powering financial planning, forecasting, and performance management.

The role spans the full data stack—from ingestion to visualization—with Snowflake, Fivetran, and Tableau at the core.

Qualifications

• 4–7 years of analytics engineering or related data role.
• Hands-on Snowflake and Fivetran in production.
• Strong SQL skills for querying, joining, and transforming structured data across complex schemas.
• Experience building Tableau dashboards and data sources.
• Familiarity with Salesforce objects and CRM reporting.
• Experience cross-functionally with Finance, Ops, or GTM teams.
• Bachelor’s degree in a quantitative/technical/business field; Master’s preferred.

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.

Skills

Strong SQL skills

Analytical & business acumen

Cross-functional collaboration

Data modeling

Communication of insights

Education

Bachelor’s degree in a quantitative, technical, or business field

Master’s degree preferred

Tools

Snowflake

Fivetran

Tableau

Salesforce

Git

Python

Job description

We are seeking a Business Intelligence & Analytics Engineer to join our Business Intelligence team. This role partners closely with Finance and cross-functional teams to build and maintain the data infrastructure, pipelines, and reporting layer that power financial planning, forecasting, and performance management. The ideal candidate is comfortable working across the full data stack—from ingestion and transformation to visualization—and brings strong analytical judgment alongside technical depth.

Job Responsibilities

• Design, build, andmaintainscalable 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 andmaintain 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, ora relateddata role.

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

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

• Experience building andmaintaining 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 ina quantitative, technical, or businessfields(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.