Top Data & Analytics Jobs

Lead design and scaling of the data platform and analytics pipelines. Build and maintain ETL/ELT workflows, integrations, serverless data services, and reliable data models. Mentor teammates, improve automation, observability, and data governance to support analytics and operational insights.

The Big Data Analyst will evaluate datasets, improve analytical methods, support software developers, and assist end-users to enhance decision-making processes.

Assist in building and maintaining the Beckett Trading Card Game database by researching and adding new TCGs, collecting secondary market sales data, updating the online price guide, performing data entry, creating an image library, supporting ad-hoc TCG projects, and collaborating with Product and Marketing as needed.

Support Business Banking with analytics, reporting, dashboards, and automation to drive deposit acquisition, onboarding, funded balance growth, and retention. Produce forecasting and pipeline reporting, provide deposit strategy and profitability insights, enable go-to-market and campaign analysis, and standardize onboarding and data processes to improve efficiency and data quality.

The Fraud Analyst will monitor gaming customers for fraudulent activity, analyze user behavior, and develop reporting tools while collaborating with stakeholders to enhance fraud prevention strategies.

The Business Systems Analyst provides expertise on investment accounting systems, facilitating communication between business stakeholders and technology teams, analyzing data management, and guiding complex technical solutions.

Embed with Revenue leadership to identify high-value questions, build scalable analyses, models, and visualizations, and use AI agents and LLM tooling to accelerate insight delivery. Advise data teams on models, metrics, and semantic layers; validate AI-assisted outputs; communicate recommendations to technical and executive audiences; and develop reusable tooling and documentation.

Semiconductor yield analysis internship focused on reviewing experimental data, identifying device performance shifts and process anomalies, improving measurement accuracy, and using inline data and machine learning to predict cell performance. The intern will collaborate with process integration, process engineering, and data science teams while developing root-cause analysis, process improvement, and technical communication skills.

Supports ETF market-making by configuring and validating trading logic, onboarding products, managing venue and market-data dependencies, and analyzing production trading and execution data. Builds execution-quality metrics, identifies configuration and data-quality issues, automates validation and monitoring, supports testing and deployments, and develops productivity tools. Partners with traders and technology teams to improve workflows, controls, and trading strategies.

Own and evolve the data infrastructure powering identity and fraud products. Build and operate scalable ETL/ELT pipelines, ensure data quality and observability, optimize storage and access, support product squads, respond to production incidents, mentor engineers, and drive data platform innovation.