Business Intelligence Data Analytics Engineer (Snowflake, Fivetran)
Hyderabad, Telangana, India · On-site
Senior$307M raised
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Business Intelligence Data Analytics Engineer (Snowflake, Fivetran)
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Full-time
bachelor degree, postgraduate degree
Posted 11d ago
~40 hrs/week
Responsibilities
Design and maintain scalable data pipelines and transformation layers using Fivetran and Snowflake to support Finance and GTM teams. Develop Tableau dashboards to track key SaaS metrics and ensure data accuracy across various source systems.
Requirements
Requires 4-7 years of experience in analytics engineering with strong proficiency in SQL, Snowflake, and Tableau. A bachelor's degree in a quantitative field is required, with a master's degree preferred.
Full 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.
\nJob 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 Fivetranin 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.
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.
Model N enables our life sciences and high-tech customers to deliver life-changing products to the world.
Industry
Software Development
Company size
501-1,000 employees
Founded
1999
Headquarters
Redwood City, California
LinkedIn followers
41,801
Total funding
$307M
Model N is the leader in revenue optimization and compliance for pharmaceutical, medtech and high-tech innovators. For 25 years, our intelligent platform has powered digital transformation for pharmaceutical, medtech, and high-tech companies with integrated technology, data, analytics, and expert services that deliver deep insight and control. Our integrated cloud solution is proven to automate pricing, incentive and contract decisions to scale business profitably and grow revenue. Model N is trusted across more than 120 countries by the world’s leading companies, including Johnson & Johnson, AstraZeneca, Stryker, Seagate Technology, and Microchip Technology. For more information, visit www.modeln.com.
Offices: 500 Allerton Street, Suite 105, Redwood City, California 94063, US · Unit No. 1001, 10th Floor, Building No. 12D, Mindspace Sez, Hitech City, Hyderabad, Telangana 500032, IN · Chemin de Blandonnet 8, Vernier Geneva, Switzerland CH-1214, CH · 636 Shelby St, Bristol, Tennessee 37620, US
Model N enables our life sciences and high-tech customers to deliver life-changing products to the world.
Industry
Software Development
Company size
501-1,000 employees
Founded
1999
Headquarters
Redwood City, California
LinkedIn followers
41,801
Total funding
$307M
Model N is the leader in revenue optimization and compliance for pharmaceutical, medtech and high-tech innovators. For 25 years, our intelligent platform has powered digital transformation for pharmaceutical, medtech, and high-tech companies with integrated technology, data, analytics, and expert services that deliver deep insight and control. Our integrated cloud solution is proven to automate pricing, incentive and contract decisions to scale business profitably and grow revenue. Model N is trusted across more than 120 countries by the world’s leading companies, including Johnson & Johnson, AstraZeneca, Stryker, Seagate Technology, and Microchip Technology. For more information, visit www.modeln.com.
Offices: 500 Allerton Street, Suite 105, Redwood City, California 94063, US · Unit No. 1001, 10th Floor, Building No. 12D, Mindspace Sez, Hitech City, Hyderabad, Telangana 500032, IN · Chemin de Blandonnet 8, Vernier Geneva, Switzerland CH-1214, CH · 636 Shelby St, Bristol, Tennessee 37620, US