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Freelance Data Analyst Developer Jobs in Illinois

Apex Informatics

Data Analyst

Chicago, IL · On-site

Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...

AllSTEM Connections

Data Analyst

Chicago, IL · On-site

$187K/yr

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high-caliber Senior Data & Analytics Engineer to serve as a Subject Matter Expert (SME) within our enterprise ...

Harris | Oakmark

Data Analyst, Data Ops

Chicago, IL · On-site

Required : • Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field • 7-10 years of experience in investment management, financial services, or a data ...

Brookfield

P&C Data Analyst

Chicago, IL · On-site

Work with large, structured and semistructured datasets using SQL and analytical programming languages (e.g., Python or R) * Ensure data quality, reproducibility, and proper documentation of models ...

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Freelance Data Analyst Developer information

What is the difference between Freelance Data Analyst Developer vs Freelance Data Scientist?

AspectFreelance Data Analyst DeveloperFreelance Data Scientist
CredentialsTypically requires data analysis, programming, and database skills; certifications like Microsoft Data Analyst or SQL certifications are common.Requires advanced statistical, machine learning, and programming skills; certifications like Certified Data Scientist or Python/R expertise are common.
Work EnvironmentOften works on project-based tasks involving data cleaning, visualization, and reporting for clients across industries.Focuses on predictive modeling, complex analytics, and research-driven projects for diverse sectors.
Employer & Industry UsageFreelance Data Analyst Developers are hired by businesses needing data insights and reporting.Freelance Data Scientists are engaged for advanced analytics, AI, and machine learning solutions.

While both roles involve data work, Freelance Data Analyst Developers focus on data processing and visualization, whereas Freelance Data Scientists handle complex modeling and predictive analytics. The choice depends on project complexity and required expertise.

What are the most commonly searched types of Data Analyst Developer jobs in Illinois? The most popular types of Data Analyst Developer jobs in Illinois are:
What cities in Illinois are hiring for Freelance Data Analyst Developer jobs? Cities in Illinois with the most Freelance Data Analyst Developer job openings:
Freelance Data Analyst Developer jobs near you

Data Analyst

Apex Informatics

Chicago, IL • On-site

Full-time

Re-posted 20 days ago

Job description

Location: Hybrid 3x a week onsite in Chicago IL (local only)
Interview Mode: Virtual Interview
Type: Contract
Work authorization: Cannot work with OPT or CPT
Description
NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role, your duties will include system analysis of various applications and databases and translating those to documentation. You may also be required to create high level acceptance criteria using that documentation.
To ensure success as a technical data analyst, you should demonstrate experience performing data analysis to provide insight into the characteristics of those data sets using standard statistical methods and data science concepts.
Responsibilities:
• Analyze several existing systems to document fields and functions. Create detailed functional documentation those systems.
• Relate current systems to industry standards to help build a new system.
• Manage the execution of data analytics projects to drive value and gain insight from information.
• Analyze and review the use of advanced data analysis techniques that leverage technology to process large volumes of data, and perform complex computations in a scalable, reproducible and automated manner.
• Use data analysis to detect patterns leading to more efficient testing and data quality.
• Perform data analytics to identify and mitigate audit risks and achieve data automation, reconciliation, traceability, lineage and transparency.
• Use data analytics to provide actionable, timely and accurate data to drive business insights around regulatory risk, compliance, operations and finance.
• Familiar with data sourcing, data capture, data transformation and data preparation techniques
• Familiarity with Data Binning and K-means Clustering and applying those techniques.
• Working knowledge of core financial processes and related risks and controls and underlying data structures would be beneficial.
Skills and Experience:
• A degree, preferably in Economics, Econometrics, Engineering, Physics, (Applied) Mathematics, Accounting, Information Systems.
• Minimum 5 years of professional experience, with a minimum 2 years of relevant Data Analytics experience
• Extensive experience in technical business analysis in the fintech industry
• Exceptional communication skills toward facilitating the use of new software systems
• Knowledge of visualization tools like Tableau, Spotfire, Qlikview, etc. would be a plus
• Knowledge of ACL, databases, and hands on experience / theoretical knowledge in SQL including writing stored procedures and data extraction / manipulation using queries would be a plus

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