Analytics Engineer, Finance — United States — LinkedIn — 4488934417

This is a Fully Remote Job

About Our Client:

The organization operates a global stablecoin payments platform serving enterprises, neobanks, platforms, developers, and AI agents. It addresses the challenge of enabling instant, compliant movement, storage, and utilization of stablecoins worldwide through various channels including payment cards, rewards, on/offramps, wallets, and cross-border rails. As a principal member of major card networks, the program issues cards accepted at millions of merchant locations globally. Trusted by over 100 organizations, it provides secure and scalable infrastructure facilitating seamless global money movement.

About the Opportunity:

The ANALYTICS ENGINEER, FINANCE is responsible for owning and maintaining the data layer that supports financial functions. This role ensures financial data models are accurate, reconciled with source systems, and automated for self-service use. By partnering closely with Finance, Accounting, and data teams, the position ensures financial reporting is reliable and fully traceable to its origins. The role has significant impact in maintaining data integrity, supporting month-end close and audit readiness, and enabling efficient financial operations through automation.

Responsibilities:

• Build and maintain financial data models including ledger, settlements, transactions, invoicing, fees, and collateral.

• Develop and execute reconciliations between internal and external data sources; investigate and resolve discrepancies.

• Support month-end close processes and audit preparation with validated and documented outputs.

• Automate recurring financial reporting and alerting to minimize manual intervention.

• Implement data quality tests and alerts to proactively detect issues.

• Collaborate with Finance to define and standardize key financial metrics.

• Develop self-serve reporting capabilities for Finance team autonomy.

• Coordinate with data and platform engineers on data ingestion and source system changes following data standards.

Requirements:

• Minimum 3 years experience in analytics engineering, software engineering, or analytics with focus on data modeling.

• Proficiency with AI tools to augment learning and workflow, with responsibility for validating outputs.

• Strong SQL skills in modern data warehouses such as BigQuery, Snowflake, or Redshift.

• Practical experience with dbt including modeling, testing, documentation, version control, and code review.

• Experience reconciling data across multiple systems and resolving discrepancies at a granular level.

• Familiarity with financial metrics and processes including revenue, costs, financial statements, reconciliation, and monthly close.

• High attention to detail and ability to validate results against source data.

• Capability to work independently and collaboratively in a fast-paced environment with clear communication.

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.

Benefits & Perks:

• Medical, dental, and vision insurance covering 95% of employee costs and 90% for dependents.

• 401(k) retirement plan with a 4% company match.

• Flexible work arrangements including remote options and home workspace stipend.

• Minimum required vacation time to encourage work-life balance.

• Equity option plan for all employees.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

EmwU9wPmk is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.