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On-site Business Analyst transforming hospitality data into actionable insights via dashboards, reports, and ad hoc analyses using Excel, SQL, and BI tools to support operations, finance, and marketing at a resort.
Business Area: Sales Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the…
Designs and manages healthcare data architecture for analytics, BI, and clinical decision-making, integrating EHR/EMR systems and ensuring HIPAA compliance.
Build and maintain Tableau dashboards and data pipelines, transforming raw data into analytics-ready datasets and optimizing Snowflake queries for business reporting.
Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline 7+ years of relevant experience in data engineering roles with primary skills on…
Lead a data science team at Signature Aviation while staying hands-on building ETL pipelines, machine learning models, and AI-driven analytics solutions using Python, SQL, and Databricks to improve aviation operations and business outcomes.
Oversees data product development for fintech applications, ensuring data quality, security, and usability for analytics/AI. Bridges business needs with technical teams to modernize data infrastructure, document requirements, and enable natural language querying and AI integration.
Leads a firmwide legacy analytics decommission and migration to modern cloud-native tools for JPMorgan Chase’s Commercial & Investment Banking unit, owning inventory analysis, migration planning, and cross-functional execution to replace thousands of reports/schedules with scalable solutions while ensuring regulatory continuity.
Data Domain Architect extracting and validating large customer data sets using SQL, Snowflake, and Python to generate survey and customer insights for JPMorgan's Business Banking division.
Builds and maintains data pipelines using SSIS/Fabric to extract, transform, and load data for business reporting; ensures data quality and collaborates with analysts to deliver dashboards and insights.
Lead quality engineer for data warehouse testing and automation within PNC's Enterprise Data Analytics team, focused on SQL/HQL, Python, AWS, and ETL validation in Pittsburgh or Cleveland.
City/State: Tarrytown, New York Grant Funded: No Department: REV - Finance & Reimbursement Work Shift: Day Work Days: MON-FRI Scheduled Hours: 8:30 AM-5 PM Scheduled Daily Hours: 7.5 HOURS Pay Range:…
Blackstone is the world’s largest alternative asset manager. Blackstone seeks to deliver compelling returns for institutional and individual investors by strengthening the companies in which the firm invests.…
The Senior Data Engineer will design and build data pipelines and data models to measure marketing campaign performance and spend. The role involves collaborating with cross-functional teams to implement ETL strategies and data quality checks using technologies like Python, SQL, Databricks, and AWS.
The Application Developer III will design, code, and maintain enterprise software systems using Java, J2EE, and Angular frameworks. The role involves integrating applications, managing deployments, and troubleshooting systems within a healthcare environment.
The Senior Data Analyst will lead the design, development, and management of the enterprise data platform, focusing on data integration pipelines using Azure Data Factory and Informatica. The role involves managing cloud data warehouses, driving data modeling strategies, and ensuring data governance and quality standards across the organization.
Work Schedule: This is a full-time position, scheduled to work Monday through Friday with core business hours between 8:00 a.m. and 5:00 p.m. The role is a remote position. To be eligible to work remotely, you must be…
The Chief Platform Engineer will lead the strategic technical direction and design of Westpac's data platform ecosystem, including lakehouse and warehouse capabilities. This role involves driving large-scale migrations, implementing DevSecOps and SRE practices, and mentoring senior engineering teams.
The Data Analytics Manager will lead global business intelligence and data strategy, overseeing data warehousing and reporting to drive enterprise-wide decision-making. The role requires hands-on management of BI environments and collaboration with senior leadership to align IT architecture with global business needs.
Build and deploy AI products—query assistants, report summarizers, multi-agent chatbots—for a Vietnamese securities firm (ACBS), using Python, LLM agent frameworks, RAG pipelines, and cloud infrastructure (AWS/GCP).
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