Top Data & Analytics Jobs

Build and maintain production-grade data models and pipelines for the Compliance Data Mart, implement data quality frameworks and monitoring, partner with engineering to resolve data gaps, support regulatory exams and audits, and automate manual workflows into scalable pipelines and self-serve tooling.

Serve as the bridge between business and the Product Master Data Management (PMDM) solution: gather and translate requirements, lead UAT and training, prioritize product backlog with Product, monitor tool performance with analytics, support tickets and root-cause analysis, and drive change management to optimize item lifecycle processes.

Serve as the bridge between business and the Product Master Data Management solution: define and prioritize capabilities, translate goals into requirements, lead UAT and training, support ticketing and root-cause analysis, implement analytics to monitor tool performance, and collaborate with IT, Product, and third-party support to drive lifecycle improvements and change management.

Manage and optimize the Product Master Data Management (PMDM) tool: gather and translate business requirements, prioritize product backlog, lead UAT/training/demos, support ticket resolution, implement analytics to monitor tool performance, report improvements to leadership, and collaborate with IT, Product, and third-party support to drive change and efficiency across the product lifecycle.

Scope, implement, validate, and monitor merchant data integrations to ensure accurate input to data science models. Maintain data configuration, create JSON/CSV templates, write Python/SQL/Spark/Databricks/R scripts for testing and transformation, upload historical data, triage alerts, and coordinate with internal and client teams to resolve data issues and improve pipelines.

Design, build, and maintain scalable batch and real-time data pipelines and data lake architecture. Improve observability and SLOs, optimize ETL/ELT, develop dbt workflows, support event-driven architectures, integrate financial APIs, and collaborate with analytics and ML teams to deliver reliable, model-ready data products.

Design, build, and maintain scalable data pipelines and cloud data infrastructure (warehouse, RBAC, validation). Collaborate with data scientists and engineers, orchestrate ML pipelines, ensure data quality/security, optimize cost and performance, lead incident response and mentor teammates.

Lead high-impact analytics initiatives on customer behavior and financial health. Source, assemble, and analyze large transaction datasets, build reusable data assets and workflows, apply advanced analytics and AI tools, produce executive-ready dashboards and presentations, influence senior stakeholders, and mentor junior analysts.

Lead development and execution of Pillar 3 reporting strategy, build standardized reporting frameworks and executive scorecards across BI platforms, translate complex data into executive insights, advise senior leadership, coordinate cross-platform performance reporting, and mentor junior analysts to improve data modeling, KPI design, and visualization standards.

Design and lead enterprise-scale data architecture across hybrid and on-prem platforms. Define patterns for application, analytics, workflow, and AI workloads, mentor teams, influence senior leadership, and drive modernization, security, scalability, and TCO/ROI decisions.

Serve as functional DBA for Oracle and MongoDB across environments. Partner with app teams on schema design, data modeling, and query optimization. Diagnose and resolve database performance, integrity, and data-migration issues. Validate database changes for releases, maintain documentation and runbooks, and support incident response for data-related failures.

As a PhD intern, you will design and develop software solutions for automated trading systems, collaborating closely with the Quantitative Research team.

Lead monitoring and optimization of programmatic ad campaigns using real-time and historical data. Diagnose performance issues, design A/B and multivariate experiments, partner with AdOps and Data Science to operationalize ML-driven solutions, and drive automation of campaign decisioning to scale revenue and efficiency.

Support Boeing Global Services Commercial Modifications by developing and maintaining Tableau and Power BI dashboards, building API-driven ETL/data pipelines, cleaning and validating data, creating PMO reporting templates, tracking KPIs and scorecards, and collaborating with cross-functional teams to improve data quality and reporting efficiency.