Top Fintech Data & Analytics Jobs

Lead reporting, forecasting, and fundraising analytics across Private Wealth. Build automated Excel reconciliations and forecasting models, design PowerBI dashboards, ensure data integrity, synthesize complex datasets into executive presentations, and coordinate cross-functional stakeholders to support decision-making.

Design and own Snowflake end-to-end data architecture and reusable data products for sales and marketing distribution. Build dimensional, data vault, and semantic models; enforce governance, security, and SLAs; collaborate with stakeholders and data engineering on ingestion, dbt pipelines, orchestration, and CI/CD; optimize Snowflake performance and cost; mentor data teams and ensure downstream consumers (Salesforce, Sitecore, Tableau) are served reliably.

As the Founding Data Lead, you will establish the analytics function, manage high-volume data, and provide insights to inform business decisions.

The Senior Data Engineer will manage the Snowflake platform, ensuring data security, implementing best practices, and collaborating with teams on data integration and architecture.

The Data Engineer designs and operates data and machine-learning systems for HSA/FSA eligibility, building pipelines, models, and APIs to support decision-making at Flex.

The Data Product Manager will lead cross-functional teams to create high-impact data products, translate business needs into technical requirements, and manage product roadmaps. Responsibilities include collaborating with stakeholders, optimizing product performance, and ensuring compliance with industry standards.

The Director of Underwriting will lead the underwriting team, manage teams, develop skill sets, maintain relationships with partners, and present data insights.

Responsible for developing enterprise architecture and modern data platforms, ensuring data governance, quality, security and supporting data-related initiatives across the organization.

Investigate financial transactions to identify potential money laundering activities, utilize AI for analysis, document findings, and collaborate with product teams on improvements.

Assist in consulting engagements focusing on financial analysis, data modeling, and litigation support. Involves analysis of large datasets and financial documentation.