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# Analytics Engineer, Finance

- **Company:** Nvidia International, Inc.
- **Location:** Santa Clara, United States
- **Experience:** Expert
- **Salary:** $144,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, JIRA, Software Documentation, Information Systems, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mart, Data Warehousing, Database Queries, Dimensional Modeling, R (Programming Language), Python (Programming Language), Machine Learning, Power BI, SAP (Applications), Software Engineering, Data Streaming, Tableau (Software), Data Processing, Data Ingestion, Snowflake, Model Validation, Data Layers, Information Technology, Data Analytics, Star Schema, SAP S/4HANA, Data Pipelines, Alteryx, Databricks
- **Published:** November 1, 2026
- **Apply:** https://startup.jobs/senior-analytics-engineer-finance-2100-nvidia-usa-10580867

## About the Role

We are seeking a highly skilled Senior Analytics Engineer supporting finance initiatives, with strong end-to-end analytics capabilities, spanning data engineering fundamentals, semantic layer design, dashboard development in Tableau and Power BI, and application development within Databricks. The ideal candidate will bring strong Finance domain knowledge, experience improving reporting and business processes, hands-on expertise building semantic layers to develop consistent, well-governed analytical data models, and proficiency designing and deploying data applications on the Databricks Lakehouse Platform., * Bachelor's degree or equivalent experience in Information Systems, Analytics, Computer Science, Finance, Accounting, or a related field.

 * 8+ years of proven ability designing, building, and supporting end-to-end BI and analytics solutions, from data ingestion and modeling to reporting and insights delivery.
 * Hands-on experience with Databricks, including building notebooks, workflows, and data applications (Databricks Apps).
 * Practical involvement with traditional data warehouse architectures, including centralized data warehouses and/or data marts, and a solid understanding of historical, snapshot, and incremental data processing patterns.
 * Strong SQL skills and proficiency in data modeling concepts (star schema, dimensional modeling, semantic design).
 * Demonstrable ability to identify inefficiencies and lead process improvement efforts.
 * Ability to lead sophisticated projects, influence partners, and communicate effectively at both technical and executive levels.

Ways to stand out from the crowd:

 * Background with ETL/ELT tools (e.g., dbt, Fivetran, Informatica, Data Factory, Alteryx) and project tracking in Jira.
 * Experience building data governance processes, documentation standards, or data quality frameworks.
 * Exposure to data science tools or methodologies (Python, R, machine learning concepts, Snowflake).
 * Experience deploying production-grade applications using Databricks Apps and integrating them with enterprise BI tools or downstream consumers.

## Description

* Design, build, and maintain analytics solutions across the full lifecycle from data ingestion to reporting and Databricks-hosted application delivery.
 * Build and maintain data pipelines, notebooks, and end-user applications within Databricks, using Delta Live Tables, Unity Catalog, and Databricks SQL for governed, scalable data products.
 * Collaborate with data engineering teams to optimize data pipelines, ensure data quality, and improve data availability.
 * Design, implement, and support end-to-end system integrations between SAP S/4HANA and third-party platforms (e.g., lease administration system, space planning tool, physical security/badging systems).
 * Ensure accurate, timely, and automated data flow from SAP to downstream systems (and vice versa) to eliminate manual handoffs and human intervention.
 * Establish and implement data governance, validation rules, and transformation logic to ensure data consistency across systems including Unity Catalog policies within Databricks.
 * Supervise and support interface health, error handling, and reconciliation processes, proactively resolving integration failures and data discrepancies.
 * Partner closely with Finance and Real Estate & Site Services Group to understand business processes, reporting needs, and strategic priorities.
 * Support data science and advanced analytics projects, including data exploration, feature preparation, and model evaluation within the Databricks environment.