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Remote C2C Data Analyst Jobs in Riverside, CA (NOW HIRING)

DataAnnotation

Treasury Analyst - AI Trainer

Ontario, CA · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Menifee, CA · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Orange, CA · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Pomona, CA · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Irvine, CA · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Fontana, CA · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Rialto, CA · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Anaheim, CA · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Corona, CA · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Tunabear

Payroll Product Manager

Riverside, CA · Remote

... 1099/C2C) * Contract length: 12 months + extension * 100% remote (PST) but local candidates ... Advanced analytical and problem-solving skills; able to evaluate trade-offs and make data-driven ...

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All JobsC2C Data Analyst JobsRemote C2C Data Analyst JobsRemote C2C Data Analyst Jobs in Riverside, CA

Remote C2C Data Analyst information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

How much do remote c2c data analyst jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote c2c data analyst in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote C2C Data Analyst vs Remote Contract Data Analyst?

AspectRemote C2C Data AnalystRemote Contract Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often requires certifications like Microsoft Excel, SQL, or TableauSimilar credentials; certifications are a plus but not always mandatory
Work EnvironmentIndependent contractor working on a client-by-client basis, often remotelyContract-based role, typically remote, with a fixed project duration
Employer & Industry UsageUsed by consulting firms, agencies, and companies hiring on a C2C basisCommon in industries like finance, healthcare, and marketing for project-specific work

Both roles involve data analysis skills and remote work, but the Remote C2C Data Analyst typically operates as an independent contractor under a C2C agreement, while the Remote Contract Data Analyst works on short-term projects under a fixed-term contract. The choice depends on your preferred work arrangement and client engagement style.

What are the key skills and qualifications needed to thrive as a Remote C2C Data Analyst, and why are they important?

To thrive as a Remote C2C Data Analyst, you need strong analytical skills, proficiency in data modeling, and a relevant degree in fields like statistics, mathematics, or computer science. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms (e.g., Tableau or Power BI), as well as experience in C2C (Corp-to-Corp) contracting environments, is typically required. Exceptional attention to detail, independent problem-solving, and effective remote communication are essential soft skills in this role. These skills ensure accurate data insights, efficient remote collaboration, and successful project outcomes in a flexible, contract-based work environment.

What is a Remote C2C Data Analyst?

A Remote C2C Data Analyst is a professional who analyzes and interprets data for organizations while working remotely (from home or another location) and is hired under a 'Corp-to-Corp' (C2C) arrangement. In a C2C setup, the analyst works as a contractor through their own corporation or a third-party consulting firm, rather than as a direct employee. Their main responsibilities include collecting, cleaning, and analyzing data to provide actionable insights, often using tools like SQL, Excel, and data visualization platforms. This role offers flexibility in work location and is common in industries that handle large volumes of data and value specialized, contract-based expertise.

What are some common challenges faced by Remote C2C Data Analysts, and how can they be managed effectively?

Remote C2C Data Analysts often encounter challenges such as managing time zone differences with clients or teams, maintaining clear communication, and ensuring data security when working with sensitive information. To address these, it's important to establish regular check-ins, use collaborative tools for data sharing and project management, and adhere to best practices for secure data handling. Building strong relationships through proactive communication and setting clear expectations can help ensure project success and a positive remote work experience.
What are the most commonly searched types of C2C Data Analyst jobs in Riverside, CA? The most popular types of C2C Data Analyst jobs in Riverside, CA are:
What are popular job titles related to Remote C2C Data Analyst jobs in Riverside, CA? For Remote C2C Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote C2C Data Analyst jobs in Riverside, CA look for? The top searched job categories for Remote C2C Data Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote C2C Data Analyst jobs? Cities near Riverside, CA with the most Remote C2C Data Analyst job openings:
Remote C2C Data Analyst jobs near you
Data Scientist, AI Data Foundations

Data Scientist, AI Data Foundations

NextDeavor Inc.

Irvine, CA • Remote

$114K - $175K/yr

Contractor

Posted 12 days ago

Job description

Data Scientist, AI Data Foundations
Full-time
Remote
Exclusive confidential search — details shared with qualified applicants.
 
Become a Key Player as a Data Scientist, AI Data Foundations

You will design and build the curated data structures that AI and ML applications consume, enabling higher-quality model training and inference. You will partner with model builders, product, risk, and growth stakeholders to surface actionable insights and ship production-ready vector, feature, and graph data assets. This is a Remote role.

Here's How You'll Make an Impact on the Team
  • Build and maintain vector stores for RAG, including embedding pipelines, chunking strategies, indexing, and refresh patterns.
  • Own the feature store: design, build, and operate feature definitions, freshness SLAs, lineage, and point-in-time correctness for offline/online use.
  • Design and implement graph data structures to model relationships across applicants, applications, products, lenders, decisions, and outcomes.
  • Lead data discovery: profile lending, deposit, and behavioral datasets to identify trends, segments, anomalies, and model drivers; produce actionable hypotheses for stakeholders.
  • Engineer curated, AI-ready datasets with appropriate quality checks, documentation, and governance for downstream model builders and analysts.
  • Define and run evaluation frameworks for RAG retrieval quality, feature drift, embedding quality, and graph completeness; iterate on metrics.
  • Partner closely with ML engineers and applied scientists to ensure data assets accelerate model development and serving workflows.
  • Champion responsible data use by collaborating with governance, security, and compliance teams to ensure data classification, consent, and regulatory boundaries are respected.
  • Communicate findings via write-ups, notebooks, dashboards, and short presentations for technical and non-technical audiences.
Here's What You'll Need to Be Successful in This Role
  • 4–7 years of experience in data science, ML engineering, or applied data roles, with significant time building data assets consumed by models or applications.
  • Hands-on experience designing and operating vector stores for RAG or semantic search (embedding generation, chunking, indexing, retrieval evaluation).
  • Experience building or operating a feature store (e.g., Databricks Feature Store, Feast, or custom), including offline training and online serving patterns and point-in-time correctness.
  • Experience modeling and building graph data structures and writing graph queries (Neo4j, TigerGraph, Cosmos DB Gremlin, or similar).
  • Strong proficiency in Python (pandas, NumPy, scikit-learn, PySpark) and SQL; comfortable using Databricks notebooks and jobs.
  • Practical experience with embedding models and LLM tooling (Hugging Face, OpenAI/Azure OpenAI APIs, LangChain or similar) in production or near-production contexts.
  • Demonstrated data discovery skills: profiling messy datasets, surfacing patterns, validating findings statistically, and explaining results clearly.
  • Solid grounding in classical ML concepts (supervised vs. unsupervised learning, train/test discipline, leakage, evaluation metrics).
  • Strong written and verbal communication skills for technical and business audiences.
Here's What Else Might Help You Out
  • Experience in SaaS or FinTech, especially with lending, deposit, credit, fraud, or KYC/AML data.
  • Familiarity with Databricks-native AI/ML tooling: Databricks Vector Search, Databricks Feature Store, MLflow, Unity Catalog.
  • Experience with open-source vector DBs (pgvector, Pinecone, Weaviate, Chroma, FAISS) and strong opinions on trade-offs.
  • Experience with Microsoft Azure data and AI services (Azure OpenAI, Azure AI Search, ADLS Gen2).
  • Experience evaluating RAG systems end-to-end (recall@k, faithfulness, answer quality, hallucination measurement).
  • Exposure to graph algorithms (community detection, link prediction, centrality) applied to business problems.
  • Bachelor's or Master's in CS, Statistics, Mathematics, Engineering, or related quantitative field, or equivalent experience.
Pay Range

$114,000 - $175,000/year

Ready to Make Your Mark?

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