Top Hybrid Data Analysis Jobs

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.

The Sr Analyst will develop customer segmentation models, assess business impacts, analyze large datasets, and collaborate across teams to enhance account management strategies.

As a Quantitative Researcher, you will design, test, and deploy quantitative models, collaborate with traders, and enhance existing trading strategies to improve profitability.

Work cross-functionally to collect and analyze large, disparate data sets, build forecasting and experiment models, create internal and external dashboards, measure campaign impact, perform EDA/NLP, and communicate insights to stakeholders to inform business strategy.

The Associate Director, Biostatistics is responsible for statistical guidance in clinical study design, data analysis, and regulatory submissions, leading clinical study teams to ensure timely and quality outcomes.

As a Senior Risk Investigator, you will identify, analyze, and mitigate risk, focusing on fraud detection and compliance in financial services. You'll conduct investigations, analyze data, collaborate with teams, prepare reports, and mentor junior staff.

Lead analytics efforts to design and analyze experiments, perform causal and exploratory analyses, develop and monitor KPIs, build dashboards, and translate insights into recommendations for product, marketing, and business stakeholders while mentoring analysts.

The Data Analyst will analyze large data sets, optimize SQL queries, and develop dashboards using BI tools to provide actionable insights.

This role involves developing deep learning models for time-series prediction, conducting research, mentoring, and collaborating with cross-functional teams.

Assist in the development and calibration of statistical models for credit decisions, loss forecasting, and performance testing. Support documentation, enhancements, and data evaluation processes while collaborating with senior peers.