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Virtual Data Analytics Extern Jobs in Romeoville, IL

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;

1st Shift - Data Analyst

Romeoville, IL · On-site

$21.63 - $28.85/hr

Bachelor's degree in Business, Data Analytics, Logistics, or related field (or equivalent ... 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 ...

Mine and analyze data from company databases to drive optimization and improvement of product ... Summer Fridays * Fun In-Office and Virtual Social Events * And who doesn't love the swag Check out ...

Mine and analyze data from company databases to drive optimization and improvement of product ... Summer Fridays * Fun In-Office and Virtual Social Events * And who doesn't love the swag Check out ...

This position is critical in utilizing data to identify fraud trends, developing and deploying ... Summer Fridays * Fun In-Office and Virtual Social Events * And who doesn't love the swag Check out ...

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Virtual Data Analytics Extern information

See Romeoville, IL salary details

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$59

$84

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

As of Jul 16, 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.

Can I be a data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive training, focusing on skills like Excel, SQL, and data visualization tools such as Tableau. However, gaining proficiency typically requires consistent practice and real-world experience, which may take longer depending on prior background and learning pace.

Do you get paid on extern?

As a Virtual Data Analytics Extern, you typically do not receive payment since externships are often unpaid learning experiences. However, some programs may offer stipends or hourly pay, so it varies depending on the organization and program structure. It's important to review the specific externship details before applying.

What is Amazon externship?

An Amazon externship is a temporary, often unpaid, program that provides students or early-career professionals with hands-on experience in areas like data analytics, operations, or technology at Amazon. Participants typically work on real projects, develop skills with tools such as Excel or SQL, and gain insight into Amazon's business environment.

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.

Is extern a legit company?

The term 'extern' in a job context typically refers to an internship or temporary position rather than a company name. When evaluating the legitimacy of a virtual data analytics extern role, consider the employer's reputation, official communication, and whether the position is listed on reputable job platforms. Always verify the company's credentials before sharing personal information or accepting offers.
What are popular job titles related to Virtual Data Analytics Extern jobs in Romeoville, IL? For Virtual Data Analytics Extern jobs in Romeoville, IL, the most frequently searched job titles are:
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:
Mgr Data Science

Mgr Data Science

ComEd

Oak Brook, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


ComEd rating

8.6

Company rating: 8.6 out of 10

Based on 26 frontline employees who took The Breakroom Quiz


Job description

Who We Are
We're powering a cleaner, brighter future.
Exelon is leading the energy transformation, and we're calling all problem solvers, innovators, community builders and change makers. Work with us to deliver solutions that make our diverse cities and communities stronger, healthier and more resilient.
We're powered by purpose-driven people like you who believe in being inclusive and creative, and value safety, innovation, integrity and community service. We are a Fortune 200 company, 20,000 colleagues strong serving more than 10.7 million customers at six energy companies -- Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco).
We're committed to creating an environment where every person can thrive. Our employee experience is grounded in four tenets that guide how we support our people: purposeful careers, growth opportunities, community impact, and support to thrive.
In our relentless pursuit of excellence, we elevate diverse voices, fresh perspectives and bold thinking. And since we know transforming the future of energy is hard work, we provide competitive compensation, incentives, excellent benefits and the opportunity to build a rewarding career.
Are you in?
Primary Purpose
Apply the scientific method to extract knowledge and insights from data, which may take the form of time-series (smart-meters, smart-grid, and other IoT), structured (relational data stores), and unstructured (text and multi-media) data sets. Leverage these insights to deploy data-driven applications in support of strategic business priorities. Possess an advanced knowledge of predictive modeling techniques, and prior exposure with high-performance computing technologies. Use your skills to manage several projects running in parallel. Closely collaborate with various internal stakeholder and external partners to understand business needs, by providing and receiving regular feedback. Use these collaborations to plan, execute, and deploy analytics-based solutions. Mentor to more junior peers and oversee their activities where needed. Provide subject matter expertise in the areas of artificial intelligence, machine learning, feature engineering, data mining, data manipulation/storage, and high-performance computing. A successful candidate will quickly adopt the team's established working processes and toolkit while growing his/her knowledge of the utilities industry.
Position may be required to work extended hours for coverage during storms or other energy delivery emergencies.
Primary Duties
  • Develop key predictive models that lead to delivering a premier customer experience, operating performance improvement, and increased safety best practices. Supervise and lead a diverse team of 4-6 direct reports and/or contracted labor, as well as strategic partners across Exelon. Provide accurate and timely feedback regarding performance.
  • Develop and maintain an environment that fosters a high-performance culture and learning. 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; Hadoop file system; GPU-based computing systems
  • Provide expert data and analytics support to multiple business units. Provide guidance and be a mentor to junior peers.
  • Access and enrich data warehouses across multiple Company departments. Build, modify, monitor and maintain high-performance computing systems.
  • Access and analyze data sourced from various Company systems of record. Lead the development of strategic business, marketing, and program implementation plans.
  • Represent the Company at analytics focused industry forums and peer group events, bringing back leading practices to evolve the Company's analytics maturity.

Job Scope
  • Research and experiment on data science technologies, discover opportunities for new data analytics features, and influence product and technology strategies of the company.
  • Develop algorithms (machine learning, statistical modeling, optimization) that power data analytics solutions.
  • Drive the productization of the algorithms either by writing high-quality, reusable code modules or advising the engineering teams on implementing the algorithms.
  • Communicate research results effectively in written and spoken forms to various audiences including product managers, system engineers, business executives, and customers.
  • Manage/ Lead team of up to 4-6 indirect or indirect employees and consultants. Become a trusted mentor to peers and collaborators.
  • Become a trusted mentor to peers and collaborators.
  • Educate the organization on data science technologies and data analytics through internal presentations, training workshops, and publications.
  • Represent the organization and advocate its data analytics efforts and capabilities through external conferences and publication opportunities.

Minimum Qualifications
  • Bachelor's degree in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field
  • 7-10 years of experience analyzing multi-terabyte datasets.
  • Minimum of 3 years of experience applying advanced analytics techniques to diverse data sets data.
  • Minimum of 3 years of experience in data mining in a business environment with large, complex datasets.
  • 3-5 years of experience in a supervisory role, including mentoring and guiding junior peers, responsible to successfully managing people and delivering projects on time.
  • Ability to build consensus, establish trust, communicate effectively and foster culture change.
  • Demonstrable strong knowledge in the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization.
  • Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc.). Experience working within an open-source environment and Unix-based OS.
  • Ability to translate data analysis and findings into coherent conclusions and actionable recommendations to business partners, practice leaders, and executives. Strong oral and written communication skills. Experience presenting to diverse audiences including presenting to conferences and business symposia.

Preferred Qualifications
  • Masters, or PhD from a leading program in a Quantitative discipline.
  • Prior professional experience in the utilities or broader energy sector.
  • Prior exposure to data structures and data governance pertaining to customer segmentation, smart-meters, billing, or outage management systems.
  • Demonstrable strong knowledge around the full spectrum of data science lifecycle, including analytics-driven product delivery.
  • Superior understanding of relevant theories in machine learning, statistics, probability theory, data structures and algorithms, optimization, etc.
  • Ninja level coding skills (Python, R, Scala, etc) developing in a Unix environment. Proficiency in database management: create, edit, update, join, append and query data from columnar and big data platforms
  • Ability to clearly translate executive and analytics leaders' vision and guidance into methods and analytics.
  • Strong time management and presentation skills.

Benefits
  • Annual salary will vary based on a candidate's skills, qualifications, experience, and other factors: $128,800.00/Yr. - $177,100.00/Yr.
  • Annual Bonus for eligible positions: 20%
  • 401(k) match and annual company contribution
  • Medical, dental and vision insurance
  • Life and disability insurance
  • Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave
  • Employee Assistance Program and resources for mental and emotional support
  • Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement
  • Referral bonus program
  • And much more

Note: Exelon-sponsored compensation and benefit programs may vary or not apply based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.

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About ComEd

Sourced by ZipRecruiter

ComEd began as the Western Edison Light Company, one of several companies owned by inventor and researcher Thomas Edison. In July 1892, another Edison employee moved to Chicago to run Edison's local company, Chicago Edison. Sam Insull had a sharp business mind and eagerly increased his knowledge of electricity. Through improved marketing and increased demand for electric lighting, Commonwealth Edison was born in September 1907. ComEd is a unit of Chicago-based Exelon Corporation, a Fortune 100 energy company with approximately 10 million electricity and natural gas customers. ComEd powers the lives of more than 4 million customers across northern Illinois, or 70 percent of the state’s population. ComEd's service territory borders Iroquois County to the south (roughly Interstate 80), the Wisconsin border to the north, the Iowa border to the west and the Indiana border to the east.

Industry

Utilities

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1907

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