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Virtual Data Analytics Extern Jobs in Romeoville, IL

Data Analytics Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Design and maintain company analytics solutions drawing from both raw and semantic data layers ... Ability to write and optimize python for custom data pipeline code (virtual environments, scripts ...

Data Analytics Engineer

Chicago, IL · Remote

$118K - $141K/yr

Responsibilities: Assist in the build, test, and deploy semantic layer's virtual and physical data ... Ability to write and optimize complex analytical SQL queries Ability to write and optimize python ...

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 ...

Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks, including but limited to: Python, R, Scala, or equivalent; Spark/PySpark;

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Ability to write and optimize complex analytical (SELECT) SQL queries * Ability to write and optimize python for custom data pipeline code (virtual environments, scripts vs. modules vs packages ...

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 ...

Data Engineer

Chicago, IL · On-site

$99K - $156K/yr

Overview Source, extract, and manipulate large data sets to serve Business Analytics, Machine ... We provide over 21 comprehensive rewards, including medical coverage, virtual wellness classes ...

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

As of Jun 5, 2026, the average hourly pay for virtual data analytics extern in Romeoville, IL is $59.86, according to ZipRecruiter salary data. Most workers in this role earn between $53.65 and $69.62 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 job categories do people searching Virtual Data Analytics Extern jobs in Romeoville, IL look for? The top searched job categories for Virtual Data Analytics Extern jobs in Romeoville, IL are:
What cities near Romeoville, IL are hiring for Virtual Data Analytics Extern jobs? Cities near Romeoville, IL with the most Virtual Data Analytics Extern job openings:
Infographic showing various Virtual Data Analytics Extern job openings in Romeoville, IL as of May 2026, with employment types broken down into 57% Full Time, 39% Part Time, and 4% Contract. Highlights an 100% Physical job distribution, with an average salary of $124,517 per year, or $59.9 per hour.
Data Analytics Engineer

Data Analytics Engineer

Request Technology, LLC

Chicago, IL • Hybrid

$118K - $141K/yr

Other

Posted 7 days ago


Job description

***We are unable to sponsor as this is a permanent full-time role***

***Hybrid, 3 days onsite, 2 days remote***

Responsibilities:

  • Design and maintain company analytics solutions drawing from both raw and semantic data layers
  • Partner with business units to gather requirements and develop targeted analytics solutions
  • Create data models ensuring information availability in the analytics warehouse for analysis and dashboard development
  • Help establish Data Analytics standards and collaborate with embedded business analysts to ensure adherence
  • Develop comprehensive documentation and testing protocols to guarantee data accuracy and accessibility
  • Identify and distribute data and analytics best practices across the team
  • Continuously expand knowledge of data and analytics engineering methodologies to enhance infrastructure maintainability and reliability
  • Champion self-service capabilities and data literacy among business users through semantic layer utilization, analytics platforms (Tableau, Python), and CI/CD tools
  • Pursue ongoing professional development in data analytics, cloud computing, options trading, and financial risk management to improve analytics infrastructure
  • Provide guidance to business-embedded data analysts in addressing analytical challenges and support ad-hoc development needs

Qualifications:

  • Bachelor's or Master s degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Physics, Data Science, Electrical Engineering, Information Systems) or equivalent professional experience
  • 3+ years of experience as a data analyst, data engineer, software engineer, data scientist, financial risk analyst, business intelligence analyst
  • Ability to collaborate with multiple partners (e.g. Business Users, Data and Solution Architects, Data Governance and IT teams -- Data Platform Team, Systems & Infrastructure, Security, DevOps, Networking) to craft solutions that align business goals with internal processes, security, and delivery standards in mind.
  • Comfortable supporting business analysts on high-priority projects
  • Ability to write and optimize complex analytical (SELECT) SQL queries
  • Ability to write and optimize python for custom data pipeline code (virtual environments, scripts vs. modules vs packages, functional programming, unit testing)
  • Strong Experience with data viz/prep tools (preferably Tableau and Alteryx)
  • Experience with a source code version control repository system, branch management, pull requests (preferably Git)
  • Familiarity with services on at least one cloud computing platform, such as AWS or Azure, or a cloud data platform such as Databricks or Snowflake