Senior Analytics Engineer - Finance

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Analytics Engineer – Finance based in Canada. Join a globally distributed data engineering team working at the intersection of financial data, accounting, and advanced analytics. As a Senior Analytics Engineer, you will build reliable financial data products that improve reporting accuracy, streamline accounting workflows, and support informed business decisions. You will transform complex financial information into scalable data pipelines, trusted models, automated reconciliations, and intuitive dashboards. Working closely with Finance, Accounting, Data Engineering, and Platform teams, you will help improve financial close processes and reduce manual operational work. You will also explore AI-assisted development and automation to accelerate investigations and deliver more efficient, dependable solutions. This remote opportunity offers significant technical ownership and the chance to strengthen financial data infrastructure in a dynamic digital asset environment. Accountabilities - Develop financial data products: Design, build, and maintain reliable data pipelines, transformation models, and analytics solutions that support financial reporting, accounting operations, and business decision-making. - Automate financial workflows: Partner with Finance teams to identify operational bottlenecks and implement automated processes for data preparation, reconciliations, reporting, and follow-ups, incorporating appropriate controls, monitoring, and exception handling. - Improve reporting and visualization: Create intuitive dashboards and data visualizations that help stakeholders monitor financial performance, investigate discrepancies, and make informed decisions.

- Investigate and resolve data discrepancies: Collaborate with Finance, Product, and Engineering teams to diagnose reconciliation breaks, identify root causes, validate financial outputs, and communicate progress toward resolution. - Build scalable data pipelines: Collect, transform, and curate data from internal platforms and external systems, ensuring data accuracy, reliability, scalability, and accessibility. - Strengthen financial data infrastructure: Contribute to the development and implementation of a trusted finance data lake, establishing clear data definitions, ownership, quality controls, and validation processes. - Enhance data availability: Improve the timeliness of financial information and enable near-real-time insights where they deliver meaningful business value. - Leverage AI and emerging technologies: Evaluate new tools, prototype AI-assisted automation solutions, and integrate suitable technologies into production workflows to reduce repetitive work and accelerate development. - Support financial close activities: Improve recurring accounting and month-end close processes through sustainable automation, reliable data models, and transparent reconciliation workflows. - Ensure engineering excellence: Apply strong software engineering practices, including testing, documentation, version control, code reviews, and ongoing monitoring, to maintain production-quality data solutions. - Collaborate across technical and financial teams: Translate business needs into technical requirements, communicate complex findings clearly, align priorities with stakeholders, and encourage adoption of new data products. Requirements - Professional experience: At least 7 years of experience in data analytics and data management within financial services or another regulated industry, including direct collaboration with Finance teams. - Programming and data analysis: Strong proficiency in SQL and Python, including the ability to develop, debug, test, and maintain production-grade code.