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Top Senior Level Data & Analytics Jobs

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17 Days Ago
Phoenix, AZ, USA
7,383 Employees
Senior level
7,383 Employees
Senior level
Logistics • Retail • Transportation
The role involves managing SQL Server and database access, optimizing SQL queries, troubleshooting application issues, and performing database maintenance. Responsibilities include monitoring performance, conducting audits, and collaborating with teams to support new product deployments.
17 Days Ago
Indianapolis, IN, USA
327 Employees
Senior level
327 Employees
Senior level
Financial Services
The Senior Credit Risk Analyst role involves performing credit analysis on the Bank's credit portfolios, focusing on both quantitative and qualitative aspects. The position includes analyzing industry trends, overseeing credit risks, and assisting in policy reviews as part of the Enterprise Risk Management department.
17 Days Ago
Santa Clara, CA, USA
13,135 Employees
85K-128K Annually
Senior level
13,135 Employees
85K-128K Annually
Senior level
Software
The Senior Revenue Analyst is responsible for revenue close cycle accuracy, revenue reporting, compliance with audit controls, and process standardization. They participate in enterprise initiatives and collaborate across departments to drive project resolutions and understand revenue recognition for new offerings.
17 Days Ago
Seattle, WA, USA
55 Employees
Senior level
55 Employees
Senior level
Artificial Intelligence • Cloud • Fintech • Healthtech • Biotech
As a Senior Data Engineer in the Global E-Commerce team, you will design and build data transformations, implement big data systems, and establish best engineering practices to enhance the data platform impacting core products and users.
17 Days Ago
Chicago, IL, USA
3,593 Employees
Senior level
3,593 Employees
Senior level
Financial Services
As a Data Engineer Manager at PGIM, you will design and implement scalable data pipelines using Azure services, develop data models, optimize data retrieval, and ensure data integrity while collaborating with analysts and data scientists.
17 Days Ago
Cambridge, MA, USA
41 Employees
Senior level
41 Employees
Senior level
Biotech
The Principal Research Associate/Scientist will develop and validate assays for drug discovery, collaborate with colleagues on small molecule modulators of transcription factors, support cell and molecular biology activities, and present research data to drive project decisions.
17 Days Ago
Marlborough, MA, USA
1,959 Employees
Senior level
1,959 Employees
Senior level
Semiconductor
The Principal Workday HCMS Analyst will enhance and support the Workday platform, serve as a consultative advisor to HR and IT leaders, manage projects, ensure compliance with regulations, and provide data-driven recommendations through analytics and reporting.
17 Days Ago
Fort Belvoir, VA, USA
Remote
36 Employees
Senior level
36 Employees
Senior level
Information Technology
The Oracle Database Administrator will provide technical guidance on systems relative to business processes, manage database tasks, handle data modeling, and ensure compliance with security standards. The role is client-focused, working with the Defense Logistics Agency, and requires strong experience with Oracle and database management in government settings.
17 Days Ago
Palo Alto, CA, USA
Hybrid
240 Employees
180K-250K Annually
Senior level
240 Employees
180K-250K Annually
Senior level
Artificial Intelligence • Software
As a Big Data Architect at AiDash, you will enhance and scale data pipelines for satellite imagery and enterprise data, ensuring efficient ingestion, storage, and processing to support business needs. You'll collaborate with data science and engineering teams to tackle challenges and improve data systems.
17 Days Ago
United States
Remote
522 Employees
114K-161K Annually
Senior level
522 Employees
114K-161K Annually
Senior level
Software • Financial Services
The Principal Predictive Analytics Consultant leads the analytics team in designing and delivering solutions like Automated Underwriting and Risk Scoring. Responsibilities include managing complex datasets, developing predictive models, ensuring solutions meet business objectives, and presenting findings to stakeholders.
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