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Top Remote Entry Level Data & Analytics Jobs in San Diego, CA

140+ Job Results
12 Days Ago
United States
Remote
67 Employees
Entry level
67 Employees
Entry level
Machine Learning • Business Intelligence
As a Global Alpha Researcher, you will develop market-neutral trading signals, implement academic research, create algorithms for combining Alphas, and apply machine learning techniques for alpha discovery and portfolio construction, while working remotely and flexibly.
12 Days Ago
USA
Remote
86 Employees
Entry level
86 Employees
Entry level
Greentech • Transportation
As a Software Engineer focusing on Data Analytics, you will develop tools and processes for autonomy software, optimize data pipelines, ensure data quality, and produce actionable insights through reports and dashboards, collaborating with stakeholders on performance metrics.
12 Days Ago
United States
Remote
59 Employees
Entry level
59 Employees
Entry level
Information Technology • Consulting
As a Data Visualization Consultant, you will design and develop analytics applications in BI platforms like Tableau and PowerBI, creating effective visualizations to meet healthcare clients' needs. Responsibilities include understanding client requirements, designing mockups, coaching organizations on best practices, and troubleshooting visualization issues.
12 Days Ago
USA
Remote
46 Employees
Entry level
46 Employees
Entry level
Information Technology • Consulting
The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.
12 Days Ago
USA
Remote
112 Employees
Entry level
112 Employees
Entry level
Fintech • Mobile • Payments • Software
The Compliance Operations Analyst supports product, engineering, and customer onboarding by executing compliance related to legal and regulatory requirements. Responsibilities include managing code applications, ensuring compliance, auditing, reporting, analyzing data, monitoring messaging traffic, and maintaining communication with clients and internal teams.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+17 More
12 Days Ago
United States
Remote
Entry level
Entry level
Artificial Intelligence • Professional Services • Software • Analytics
As a Data Scientist I, you will help the data team by identifying and managing data sources, utilizing Python, SQL, and R for data scraping and visualization. You will automate data processing, develop machine learning tools, collaborate with various teams, and advocate for best practices in data analysis and visualization.
Top Benefits:
401-K
Commuter Benefits
Company Equity
+18 More
13 Days Ago
United States
Remote
13 Employees
Entry level
13 Employees
Entry level
Business Intelligence • Consulting
As an Ad Hoc Data Processing/Data Entry Specialist, responsible for accurately entering and processing data according to company's standards and procedures. Requires high attention to detail, efficiency, and handling confidential information.
13 Days Ago
2 Locations
Remote
Entry level
Entry level
Healthtech
This is an invitation to join Rialtic's Talent Community. It allows candidates to submit their resumes even if no suitable positions are currently available, promoting a diverse and inclusive workplace.
14 Days Ago
USA
Remote
56 Employees
70K-100K Annually
Entry level
56 Employees
70K-100K Annually
Entry level
Cybersecurity
Halcyon is seeking an experienced Threat Analyst to advance detection and prevention capabilities, ensuring customer protection from the latest threats without disrupting business function.
14 Days Ago
United States
Remote
490 Employees
Entry level
490 Employees
Entry level
Software
The Data Scientist will collect data, apply analytical and statistical methods to extract insights, and create visualizations for stakeholders. The role requires working with various data tools and managing data warehouses to ensure effective data integration and analysis.
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