Top Data & Analytics Jobs

Lead product analytics for new financial product initiatives: build business models, segment customers, create datamarts and dashboards, ensure data quality, design experiments, and surface insights using AI-enabled tooling to guide product decisions.

Lead and mentor a team of analysts to deliver fraud, scams, and promo-abuse insights. Own metrics, run experiments, perform SQL-heavy analyses and modeling, translate findings into cross-functional recommendations, and leverage AI tools to scale fraud analytics.

Lead end-to-end delivery of compliance data products: translate business needs into specs, map sources, define KPIs, design transformations with data engineers, run UAT, and build insightful dashboards to drive stakeholder decisions.

Analyze customer behavior across the product lifecycle, define and prioritize product improvements, run and interpret A/B tests, build dashboards and segmentation, own roadmap slices end-to-end, and use AI-first tools and predictive models to drive product and marketing insights.

The Senior Analytics Engineer will design and maintain data models, ensure data quality, collaborate with teams on data requirements, and set engineering standards for data pipelines at Remitly.

As a Data Analyst II in Fraud, you'll analyze fraud data, develop models, and collaborate across teams to optimize fraud detection and prevention strategies.

The Data Analyst II will support the Customer Success team by performing analyses, measuring operational effectiveness, providing insights, and recommending improvements across departments to enhance customer experience.