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Virtual Data Analyst Jobs in Romeoville, IL (NOW HIRING)

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 ...

Work Now Staffing is looking to hire Data Analysts (Logistics, Bulk Mail, & Postal Optimization ... Acute drug formulary with 37 medications; and, 24-7 virtual urgent care. Additional information on ...

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 ...

Virtual Student Success Manager

Chicago, IL · On-site +1

$75K - $85K/yr

Overview The Virtual Student Success Manager serves as the operational leader of Catapult Learning ... Data fluency: ability to analyze data, build dashboards, and define success metrics. Education:

Parts Town Pride - check out our virtual tour and culture! * Quarterly profit-sharing bonus ... MDM) & Data Governance Analyst to design, implement, and operate data governance processes and ...

Parts Town Pride - check out our virtual tour and culture! * Quarterly profit-sharing bonus ... MDM) & Data Governance Analyst to design, implement, and operate data governance processes and ...

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Parts Town Pride - check out our virtual tour and culture! * Quarterly profit-sharing bonus ... MDM) & Data Governance Analyst to design, implement, and operate data governance processes and ...

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Virtual Data Analyst information

See Romeoville, IL salary details

$34.7K

$84.3K

$138.7K

How much do virtual data analyst jobs pay per year?

As of Jul 2, 2026, the average yearly pay for virtual data analyst in Romeoville, IL is $84,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $98,900.00 per year, depending on experience, location, and employer.

What does a typical workday look like for a Virtual Data Analyst?

A typical workday for a Virtual Data Analyst involves collecting, cleaning, and analyzing large data sets, generating reports or visualizations, and presenting findings to stakeholders, all while collaborating remotely with team members and managers via digital tools. You might spend your mornings running data queries or troubleshooting datasets, while afternoons are often dedicated to meetings—either updating project teams or discussing insights with clients and decision-makers. Many virtual data analysts use task management software to track ongoing projects and prioritize deliverables in a remote setting. Expect to regularly engage in both independent work and virtual collaboration, making strong communication and self-management skills especially valuable. This role offers flexibility in your daily schedule, but typically involves deadlines and periodic teamwork to ensure business goals are met.

What is a Virtual Data Analyst job?

A Virtual Data Analyst is a professional who analyzes data remotely to help businesses make informed decisions. They collect, clean, and interpret datasets using tools like Excel, SQL, Python, or BI software. Their role includes identifying trends, creating reports, and providing actionable insights. This position is ideal for those comfortable working independently and collaborating online with teams.

What are the key skills and qualifications needed to thrive in the Virtual Data Analyst position, and why are they important?

To thrive as a Virtual Data Analyst, you need a solid grounding in data analysis, statistical methods, and critical thinking, typically backed by a degree in a quantitative field such as mathematics, statistics, computer science, or economics. Familiarity with analytical tools like Excel, SQL, Python, or R, along with experience using data visualization platforms such as Tableau or Power BI, is highly valuable, and certifications in analytics or data science can enhance your qualifications. Excellent communication, time management, and problem-solving skills help you interpret findings for stakeholders and work effectively in a remote, collaborative environment. These abilities are essential for accurately analyzing data, conveying actionable insights, and delivering reliable results while working virtually.

What are the most commonly searched types of Data Analyst jobs in Romeoville, IL? The most popular types of Data Analyst jobs in Romeoville, IL are:
What are popular job titles related to Virtual Data Analyst jobs in Romeoville, IL? For Virtual Data Analyst jobs in Romeoville, IL, the most frequently searched job titles are:
What job categories do people searching Virtual Data Analyst jobs in Romeoville, IL look for? The top searched job categories for Virtual Data Analyst jobs in Romeoville, IL are:
What cities near Romeoville, IL are hiring for Virtual Data Analyst jobs? Cities near Romeoville, IL with the most Virtual Data Analyst job openings:
Infographic showing various Virtual Data Analyst job openings in Romeoville, IL as of June 2026, with employment types broken down into 77% Full Time, 18% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,261 per year, or $40.5 per hour.
Data Analyst

Full-time

This job post has expired today. Applications are no longer accepted.


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