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Remote Data Analyst Jobs in Elgin, IL (NOW HIRING)

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

Use advanced data analytics to understand consumer risk behavior trends, their impact on the ... Remote first culture with convenient downtown office in the heart of the city IMPORTANT NOTICE:

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

Use advanced data analytics to understand consumer risk behavior trends, their impact on the ... Remote first culture with convenient downtown office in the heart of the city IMPORTANT NOTICE:

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... This data-driven role involves collecting, analyzing, and interpreting sustainability data related ...

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... This data-driven role involves collecting, analyzing, and interpreting sustainability data related ...

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... This data-driven role involves collecting, analyzing, and interpreting sustainability data related ...

Data Analytics Specialist

Chicago, IL · On-site +1

$130K - $150K/yr

About The Role The Product Data Science team is G2's centralized analytics and data science function, embedded within the Product org to support Product Leadership and the teams building our buyer ...

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the integrity, quality, and reliability of data used for analysis, reporting, and predictive modeling.

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the integrity, quality, and reliability of data used for analysis, reporting, and predictive modeling.

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

The Associate Director of Data Analytics provides technical and people leadership to design, build ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

ORs are optimised like never before - with predictive analytics and automated notifications ... Once practitioners are in the OR, our Surgical Suite enables real-time remote access and creates a ...

Data Entry Coordinator

Cary, IL · Remote

$39 - $41/hr

Remote Hours: 40.0 Overview Support the migration of legacy product lifecycle management (PLM) data ... Analyze legacy PLM data to identify duplicates, inaccuracies, incomplete records, obsolete data and ...

Data Entry Coordinator

Cary, IL · Remote

$39 - $41/hr

Remote Hours: 40.0 Overview Support the migration of legacy product lifecycle management (PLM) data ... Analyze legacy PLM data to identify duplicates, inaccuracies, incomplete records, obsolete data and ...

Showing results 41-60

Remote Data Analyst information

See Elgin, IL salary details

$33.6K

$81.7K

$134.4K

How much do remote data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data analyst in Elgin, IL is $81,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $95,900.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Elgin, IL?

The most popular types of Data Analyst jobs in Elgin, IL are:

What are popular job titles related to Remote Data Analyst jobs in Elgin, IL?

For Remote Data Analyst jobs in Elgin, IL, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst jobs in Elgin, IL look for?

The top searched job categories for Remote Data Analyst jobs in Elgin, IL are:

What cities near Elgin, IL are hiring for Remote Data Analyst jobs?

Cities near Elgin, IL with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Elgin, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,691 per year, or $39.3 per hour.

Enterprise Data Platform Lead (Data Governance & MDM)

Rush University Medical Center

Chicago, IL • Remote

$50.68 - $75.51/hr

Full-time

Posted 13 days ago


Rush University Medical Center rating

8.1

Company rating: 8.1 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

119th of 1,065 rated hospitals


Job description

Location: Chicago, Illinois / Remote

Business Unit: Rush Medical Center

Hospital: Rush University Medical Center

Department: Data Management

Work Type: Full Time (Total FTE between 0. 9 and 1. 0)

Shift: Shift 1

Work Schedule: 8 Hr (7:00:00 AM - 3:00:00 PM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).

Pay Range: $50.68 - $75.51 per hour
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.

Summary:

Join Rush as an Enterprise Data Platform Lead (Data Governance & MDM) and play a pivotal role in shaping the future of enterprise data management across one of the nation's leading academic health systems. In this highly visible leadership role, you will guide the design, implementation, and evolution of modern data governance, master data management (MDM), data lifecycle management, and cloud-based data platform solutions that support clinical care, research, education, and business operations across the Rush University System for Health.

As a hands-on technical leader, you will mentor a team of data engineers, analysts, and developers while partnering closely with business leaders, data stewards, and technology teams to ensure enterprise data is accurate, trusted, secure, and accessible. You will drive strategic initiatives involving Microsoft Fabric, Azure OneLake, Informatica IDMC, data governance, data quality, and advanced data integration solutions that enable data-driven decision making throughout the organization.

The ideal candidate combines deep technical expertise with strong leadership skills and thrives in complex environments where healthcare, academia, research, and technology intersect. Experience supporting data management initiatives within an academic medical center, university health system, or similarly complex healthcare organization is highly valued.

This is an exciting opportunity to influence enterprise data strategy, establish best practices for data governance and lifecycle management, and help advance Rush's mission of excellence in patient care, education, research, and innovation.

Responsibilities:

  • Manage a team of data specialists responsible for data governance and data lifecycle management functions.
  • With Data Management teams and business counterparts, design and develop master data management solutions using MDM.
  • With Data Management teams and business counterparts, implement and configure MDM workflows and processes.
  • Work with business stakeholders to understand data requirements and ensure solutions meet those needs.
  • Collaborate with data governance teams to establish and enforce data management policies.
  • Perform data quality assessments and implement data cleansing processes.
  • Ensure data consistency, accuracy, and integrity across all systems and applications.
  • With Data Management teams and business counterparts, document all Data Platform, Lifecycle Management and 3rd party data management solution implementations, integrations, workflows, processes, configurations, and changes.
  • With Data Management teams and business counterparts, provide training and support to business users on MDM tools and best practices.
  • With Data Management teams and business counterparts, provide ETL-based dimensional modelling, data profiling, standardization, de-duplication, and cleansing.
  • Deploy best practices to enhance system performance.
  • Translate business requirements into technology solutions and collaborate with business and other technical teams.
  • With Data Management teams and business counterparts, responsible for design, development and maintenance of data pipelines to enable data analysis and reporting.
  • With Data Management teams and business counterparts, builds, evolves, and scales infrastructure to ingest, process and extract meaning out data.
  • Write complex SQL queries or python code to support analytics needs.
  • Lead projects / processes, working independently with limited supervision
  • Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses.
  • With Data Management teams and business counterparts, builds data infrastructure and determines proper data formats to ensure data is ready for use.

Required Job Qualifications:

  • Bachelor's degree.
  • One to three years of technical lead skills
  • Five years’ experience with modern MDM tools

Preferred Job Qualifications:

  • Informatica IDMC certifications.
  • Microsoft Data Fabric with Azure OneLake and Data Factory experience and/or certifications.
  • 3+ years of hands-on data modeling, data integration, and data quality management experience.
  • Ability to mentor and lead engineers in a hands-on capacity.
  • 3+ years hands-on with DAMA-DMBOK Data Lifecycle Management (DLM).
  • Experience with modern and legacy cloud and on-premises data storage technologies.
  • Perform data quality assessments and implement data cleansing processes.
  • Experience with developing and executing test plans for MDM solutions.
  • Experience in Informatica IDMC with iPaaS, Customer 360 SaaS MDM, CLAIRE using Copilot, and CDGC or similar tools.
  • Experience designing and implementing data management solutions in Informatica on Azure Data Fabric platforms.
  • Familiarity with Informatica's implementation of the EDM Council's CDMC framework.
  • Strong background in cloud computing, software engineering and data processing.
  • Data management experience.
  • Experience in ETL Tools such as Pentaho, Talend, Informatica, Azure Data Factory, Apache Kafka and Apache Camel.
  • Experience designing and implementing analysis solutions on Azure OneLake and Microsoft Fabric
  • Data Platform or Spark based platforms such as Databricks.
  • Proficient in RDBMS such as Oracle, SQL Server, DB2, MySQL etc.
  • Strong analytical and problem-solving skills.
  • Strong verbal and written communication skills.
  • Proficient programming skills in Python, SQL, NoSQL, and Spark.
  • Ability to manage multiple projects is essential.
  • Ability to work independently or in groups.
  • Ability to prioritize time.
  • Ability to adapt to a rapidly changing environment.

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.


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