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60 Dataannotation Financial Data Analyst Jobs Hiring in IL

DataAnnotation

Hedge Fund Analyst

Springfield, IL · Remote

$50 - $60/hr

DataAnnotation is committed to creating high-quality AI. We are looking for a Hedge Fund Analyst to ... analysis, financial modeling, data analysis, and other reasoning exercises related to finance ...

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All JobsDataannotation JobsDataannotation Jobs in IllinoisJobs at Dataannotation Financial Data Analyst in Illinois

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

To thrive as a Financial Data Analyst, you need strong analytical skills, a solid understanding of finance and accounting principles, and a bachelor's degree in finance, economics, or a related field. Proficiency in data analysis tools such as Excel, SQL, Python, and financial modeling software, as well as certifications like CFA or FRM, are often expected. Attention to detail, problem-solving abilities, and clear communication skills set exceptional analysts apart in interpreting and presenting complex data. These skills are vital for delivering accurate financial insights that inform business decisions and drive organizational success.

What are some common challenges Financial Data Analysts face when communicating their findings to non-technical stakeholders?

Financial Data Analysts often encounter the challenge of translating complex quantitative data and statistical analyses into clear, actionable insights for non-technical stakeholders. This requires not only a deep understanding of financial concepts but also strong communication skills to present data visually and narratively. Bridging this gap can involve tailoring presentations, using data visualization tools, and focusing on the business implications of the analysis rather than technical details. Effective collaboration with cross-functional teams, such as finance, operations, and management, is key to ensuring that data-driven recommendations are understood and implemented.

What are Financial Data Analysts?

Financial Data Analysts are professionals who collect, process, and analyze financial data to help organizations make informed business decisions. They use statistical tools and financial modeling techniques to interpret data, identify trends, and forecast future financial performance. Their work supports budgeting, investment strategies, risk assessment, and overall financial planning. Financial Data Analysts often collaborate with other departments to provide insights that drive business growth and efficiency.
What are the most popular jobs at Dataannotation in Illinois?
What are the most popular states for Dataannotation Financial Data Analyst Jobs?
Infographic showing various Financial Data Analyst job openings at Dataannotation in Illinois as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.
Growth Analyst - AI Trainer

Growth Analyst - AI Trainer

DataAnnotation

Springfield, IL • On-site, Remote

$40/hr

Full-time

Posted 15 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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