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Virtual Data Analytics Extern Jobs in Chicago, IL

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 ...

Data Analyst I Lincolnshire, IL 6 month assignment Shift: 1st Hours: 8am-5pm 40 hours per week ... Does the position allow for the worker to be virtual/remote? : Yes but Onsite Preferred * Shore ...

2 round interview both virtual * Collect, clean, and analyze technology data from various sources to identify trends, patterns, and anomalies. * Supports the development and distribution of daily ...

Coordinates and validates end-to-end data flows required for analytics and reporting across the ... For all virtual remote positions, in order to ensure associates can effectively perform their job ...

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Virtual Data Analytics Extern information

See Chicago, IL salary details

$10

$60

$85

How much do virtual data analytics extern jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for virtual data analytics extern in Chicago, IL is $60.48, according to ZipRecruiter salary data. Most workers in this role earn between $54.23 and $70.34 per hour, depending on experience, location, and employer.

What is the difference between Virtual Data Analytics Extern vs Data Analyst?

AspectVirtual Data Analytics ExternData Analyst
CredentialsTypically pursuing or holding relevant certifications or degrees in data analytics, statistics, or related fieldsUsually requires a bachelor's degree in data science, statistics, or related disciplines
Work EnvironmentRemote, often part-time or internship-based, with flexible hoursCan be remote or on-site, full-time or part-time depending on the employer
Industry UsageCommon in educational, internship, or training programs within data analytics fieldsWidely used across industries like finance, healthcare, marketing, and technology

The Virtual Data Analytics Extern role is typically an internship or training position aimed at gaining practical experience remotely, often for students or early-career professionals. In contrast, Data Analysts are full-time professionals responsible for analyzing data, creating reports, and supporting business decisions. While both roles require knowledge of data tools and analytics, the extern position is more focused on learning and development, whereas the analyst role involves ongoing operational responsibilities.

What are the most commonly searched types of Data Analytics Extern jobs in Chicago, IL? The most popular types of Data Analytics Extern jobs in Chicago, IL are:
What are popular job titles related to Virtual Data Analytics Extern jobs in Chicago, IL? For Virtual Data Analytics Extern jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Virtual Data Analytics Extern jobs in Chicago, IL look for? The top searched job categories for Virtual Data Analytics Extern jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Virtual Data Analytics Extern jobs? Cities near Chicago, IL with the most Virtual Data Analytics Extern job openings:

Data Analyst

Apex Informatics

Chicago, IL โ€ข On-site

Full-time

Re-posted 17 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:
โ€ข Analyze several existing systems to document fields and functions. Create detailed functional documentation those systems.
โ€ข Relate current systems to industry standards to help build a new system.
โ€ข Manage the execution of data analytics projects to drive value and gain insight from information.
โ€ข 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.
โ€ข Use data analysis to detect patterns leading to more efficient testing and data quality.
โ€ข Perform data analytics to identify and mitigate audit risks and achieve data automation, reconciliation, traceability, lineage and transparency.
โ€ข Use data analytics to provide actionable, timely and accurate data to drive business insights around regulatory risk, compliance, operations and finance.
โ€ข Familiar with data sourcing, data capture, data transformation and data preparation techniques
โ€ข Familiarity with Data Binning and K-means Clustering and applying those techniques.
โ€ข Working knowledge of core financial processes and related risks and controls and underlying data structures would be beneficial.
Skills and Experience:
โ€ข A degree, preferably in Economics, Econometrics, Engineering, Physics, (Applied) Mathematics, Accounting, Information Systems.
โ€ข Minimum 5 years of professional experience, with a minimum 2 years of relevant Data Analytics experience
โ€ข Extensive experience in technical business analysis in the fintech industry
โ€ข Exceptional communication skills toward facilitating the use of new software systems
โ€ข Knowledge of visualization tools like Tableau, Spotfire, Qlikview, etc. would be a plus
โ€ข 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