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Top Remote Data & Analytics Jobs in Tucson, AZ

1,232+ Job Results
2 Days Ago
United States
Remote
105 Employees
Mid level
105 Employees
Mid level
Logistics • Transportation
As a Fraud Analyst, you will develop policies and processes to mitigate fraud losses for Mudflap’s products. Responsibilities include enhancing fraud strategies, developing detection models, evaluating tools, assessing KPIs, and maintaining performance reports.
2 Days Ago
United States
Remote
4 Employees
Entry level
4 Employees
Entry level
Other
The User Experience Analyst at Lone Rock Point will research user needs and measure alignment with usability standards while contributing creative ideas to enhance customer experience. Responsibilities include conducting user research, designing wireframes, engaging with clients, and implementing user-centered design methodologies.
2 Days Ago
USA
Remote
89 Employees
Mid level
89 Employees
Mid level
Financial Services
The Database Engineer will design, implement, and manage scalable database systems, develop ETL pipelines for data flow, utilize cloud services for database management, optimize query performance, and ensure data security and compliance.
2 Days Ago
2 Locations
Remote
120 Employees
Senior level
120 Employees
Senior level
Sports
As a Senior Product Analyst, you will develop and deliver key analyses on product features, design and analyze experiments, and create dashboards to communicate insights. You will collaborate with product, engineering, and operations teams to identify data-driven solutions to business problems.
2 Days Ago
United States
Remote
206 Employees
Expert/Leader
206 Employees
Expert/Leader
Cloud • Software
The Principal Data Architect will lead the design and implementation of complex cloud-based data solutions, define strategic roadmaps for clients, conduct technical interviews for Architect and Engineer candidates, and develop data standards and procedures.
2 Days Ago
USA
Remote
137 Employees
Expert/Leader
137 Employees
Expert/Leader
AdTech • Marketing Tech
As a Staff Data Scientist at tvScientific, you will lead the Measurement practice, developing data science tools for Connected TV ad campaigns and optimizing their effectiveness. You will collaborate with engineers and communicate findings to clients, utilizing strong statistical and machine learning skills, while writing production-level Python code.
2 Days Ago
USA
Remote
125 Employees
Mid level
125 Employees
Mid level
eCommerce • Food • Healthtech • Kids + Family • Pet
The Senior Data Analyst, Experimentation & Growth will drive data-driven growth through experimentation and analysis focused on improving Ollie's site funnel and marketing performance. Responsibilities include designing tests, monitoring site performance, and establishing analytical best practices while collaborating with cross-functional teams.
Top Benefits:
401-K
401-K Matching
Commuter Benefits
+29 More
2 Days Ago
United States of America
Remote
27,104 Employees
54K-98K Annually
Junior
27,104 Employees
54K-98K Annually
Junior
Information Technology • Software
The System Analyst will enhance the efficiency of EIA software applications and systems by developing and automating processes, managing business applications, troubleshooting issues, and providing technical support. Responsibilities include deploying and configuring new applications, managing license servers, and improving processes based on feedback.
Top Benefits:
401-K
Child Care Benefits
Company Outings
+17 More
2 Days Ago
USA
Remote
536 Employees
100K-130K Annually
Mid level
536 Employees
100K-130K Annually
Mid level
Financial Services
As a Mid-Level Data Engineer, you will develop, test, and maintain scalable Python applications, collaborating closely with product managers and designers. You will write efficient code, participate in code reviews, troubleshoot issues, and contribute to system architecture.
2 Days Ago
United States
Remote
22 Employees
Entry level
22 Employees
Entry level
Consulting • Financial Services
The Survey Data Analyst will manage survey data initiatives, develop questionnaires, analyze data, summarize findings, and make recommendations. Responsibilities include data processing, quality control, and supporting project closeout activities. The role requires interaction with clients to improve operations through data-driven insights.
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