Top Hybrid Data Analysis Jobs

The Senior Data Scientist will lead analytics projects, define success metrics, run experiments, and present data-driven insights to influence product and business strategies.

The Senior Data Analyst for Payments will analyze and optimize payment processes, collaborate with cross-functional teams, and ensure regulatory compliance to improve financial operations.

Lead analytics strategy and decision support across Product, Growth, Revenue, Operations, and Finance. Perform deep-dive analyses, design experiments, build predictive models and ML/AI prototypes, create trusted reporting and dashboards, ensure data quality, automate workflows, and partner with stakeholders to drive measurable business outcomes. Act as a primary analytics partner, prioritize work, communicate recommendations, and mentor analysts informally.

Lead hypothesis-driven analyses of complex claims, payment, employee, and vendor data to detect fraud signals, generate investigator-ready leads, improve lead lifecycle, partner with investigations and modeling teams, and deliver actionable recommendations to reduce loss.

Lead development of scalable econometric and causal-inference methods (DiD, RDD, IV, synthetic controls, panel data) to measure long-term marketplace impact. Integrate causal insights into production ML systems, influence product strategy, present findings to executives, and mentor data scientists and economists.

Lead analytical work to monitor loan portfolio and originations, detect credit and underwriting issues, build multivariate statistical models, analyze funnels, quantify costs/benefits, present recommendations to executives, design monitoring and controls, and drive implementation using SQL, Python, Excel, AI tools, and financial/statistical techniques.

The Analyst IV is responsible for delivering POS and Payments technology solutions, managing system integration, and ensuring operational excellence. They collaborate with stakeholders to translate business needs into effective technical solutions while mentoring junior team members.

As a Pricing and Revenue Planner, you will manage pricing analytics, forecasting, synthesizing data into actionable insights, and collaborating with various teams to drive revenue improvements and profitability analysis.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

As a Data Expert, you will translate business requests into analytics solutions, partnering with technology teams and deploying prototypes quickly. Responsibilities include responding to data requests, building analytics solutions, supporting credit decision-making, and leveraging AI and automation tools.