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Top Remote Data & Analytics Jobs in San Antonio, TX

8 Days Ago
United States
Remote
98 Employees
Junior
98 Employees
Junior
Software
The Data Engineer will create and manage data sources, assist with SQL queries for the Analytics team, contribute to project workflows, and develop reporting solutions, enhancing data accessibility for business stakeholders.
8 Days Ago
2 Locations
Remote
83 Employees
160K-175K Annually
Senior level
83 Employees
160K-175K Annually
Senior level
Healthtech
As a Senior Data Scientist, you will derive insights from large health datasets and develop AI tools for medication management. Your responsibilities include creating predictive models, assessing program impacts, and presenting findings to stakeholders.
8 Days Ago
United States
Remote
647 Employees
90K-125K Annually
Mid level
647 Employees
90K-125K Annually
Mid level
Artificial Intelligence • Mobile • Software
As a Strategic Fraud Analyst, you will design and implement fraud prevention strategies, analyze fraud patterns, collaborate with cross-functional teams, and support customer fraud strategies. You'll also produce reports on fraud trends and stay informed about financial fraud developments.
Top Benefits:
401-K
Company Outings
Dental Insurance
+13 More
8 Days Ago
United States
Remote
278 Employees
Senior level
278 Employees
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Marketing Tech • Sales • Software • Database
The Principal Data Engineer will design and maintain ETL pipelines, collaborate with teams on data integration, implement data transformation logic, and ensure data quality. The role requires strong organizational skills, a focus on data governance, and experience working with large datasets and ETL technologies.
Top Benefits:
401-K
401-K Matching
Dental Insurance
+11 More
9 Days Ago
USA
Remote
122 Employees
110K-143K Annually
Senior level
122 Employees
110K-143K Annually
Senior level
Healthtech
The Senior Workday Analyst will optimize HR technology solutions, specifically in Workday, by acting as a subject matter expert. Responsibilities include configurations, reports development, data integration, and supporting HR technology projects, while ensuring operational excellence and enhancing the employee experience.
9 Days Ago
USA
Remote
712 Employees
80K-100K Annually
Mid level
712 Employees
80K-100K Annually
Mid level
Fintech • Financial Services
The Fair Lending Analyst supports the Fair Lending Compliance team, executing risk identification activities and assessments, reviewing consumer complaints, and developing training. Responsibilities include monitoring policies and practices for fair lending risks and assisting in audit and regulatory requests.
9 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.
9 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.
9 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.
9 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.
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