Top Data & Analytics Jobs

Design and implement ETL pipelines, optimize data systems, build data warehouses, and develop AI/ML models for data solutions. Collaborate with teams to deliver data-driven products and ensure data quality and governance.

Analyze the Argus Consortia dataset to produce actionable analyses and visualizations, present findings to clients and management, own client deliverables, manage internal and client projects, and collaborate across the Argus US team using SQL, AWS/SAS, Tableau, Excel and PowerPoint.

Design, build, and maintain ELT/ETL pipelines into Snowflake using SQL, Python, Dataiku, and Databricks. Enable Tableau analytics, ensure data quality/governance, automate workflows, perform performance tuning, and collaborate with Finance to translate business requirements into reusable finance data products.

Lead analytics for card authorization risk, develop and optimize portfolio strategies, manage exposure and income strategies, partner with cross-functional teams, implement and monitor strategies, ensure compliance and strong controls, and provide data-driven insights to improve loss mitigation and profitability.

Lead e-commerce fulfillment analytics and strategic planning across five grocery brands. Build models and market outlooks, generate actionable insights, present recommendations to executives, partner cross-functionally to optimize capacity, sales capture, and costs, and drive continuous improvement of processes and team capabilities.

Design and build scalable data pipelines, models, and dashboards for supply chain KPIs. Partner with business stakeholders to enable forecasting, scenario planning, data governance, automation, and actionable reporting for leadership and projects.

Design and maintain production data pipelines and infrastructure (Databricks, Airflow), ensure data quality and governance, build rollups and consumable datasets, implement CI/CD and automated testing, create and maintain Looker dashboards, mentor team members, collaborate cross-functionally, and integrate AI tooling to enable self-service analytics and data-driven product decisions.

Consult on and design complex enterprise data ingestion, curation, provisioning, models, and architecture to enable analytics, reporting, and data science. Develop solutions, tooling, and process improvements, document systems, support implementations and transitions, and collaborate with teams and vendors. Provide observability-enabled application design and post-implementation support.

Quantitative Research Engineers at Citadel's GQS develop software solutions, enhance trading systems, and collaborate with researchers to apply quantitative techniques.

Track, analyze, and report KPIs for a digital commerce workstream; identify trends and opportunities; define and track OKRs; create data-driven action plans; lead improvement projects; prioritize and define reporting; present insights to stakeholders and partner cross-functionally.