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Remote Part Time Data Analytics Jobs in Naperville, IL

... a part-time capacity. Youll be supporting project teams in collecting, analyzing and visualizing data to uncover key insights to report back to project stakeholders. This is a remote position with ...

Strong analytical and problem-solving skills to handle complex estate planning issues. * Ability to ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

UI/UX Lead (Remote, Part-Time) We're seeking an experienced and creative UI/UX Lead to join our ... Track and analyze UX metrics to inform design decisions * Promote collaboration and design ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

This is a role that will initially start part time but could expand over time into more of a ... Monitor product performance metrics and conduct data analysis to inform product decisions and ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

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Remote Part Time Data Analytics information

See Naperville, IL salary details

$24

$54

$94

How much do remote part time data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote part time data analytics in Naperville, IL is $54.67, according to ZipRecruiter salary data. Most workers in this role earn between $43.94 and $61.92 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a remote part time data analyst?

To thrive as a Remote Part Time Data Analyst, you generally need strong analytical skills, proficiency in statistics, and a relevant degree or coursework in data analysis, mathematics, or a related field. Familiarity with tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Excellent time management, communication, and self-motivation are standout soft skills for working independently and collaborating remotely. These abilities are crucial for accurately interpreting data, delivering actionable insights, and maintaining productivity in a flexible, remote work environment.

What is a remote part time data analyst?

Remote part-time data analytics jobs involve analyzing data sets to uncover trends, insights, and patterns, all while working from a location outside a traditional office and on a reduced hours schedule. Professionals in this role use tools like Excel, SQL, or Python to clean, interpret, and visualize data for organizations to support decision-making. These jobs are ideal for individuals seeking flexibility, such as students or those with other commitments, and can be found across many industries including marketing, healthcare, finance, and technology. Typical tasks include creating reports, building dashboards, and supporting data-driven projects. Remote part-time positions usually require strong analytical skills, attention to detail, and the ability to communicate findings effectively.

What is the difference between Remote Part Time Data Analytics vs Remote Part Time Data Analysis?

AspectRemote Part Time Data AnalyticsRemote Part Time Data Analysis
Required CredentialsTypically a degree in data science, statistics, or related field; certifications like Google Data Analytics or Microsoft ExcelSimilar credentials; often includes degrees in statistics, mathematics, or related areas; certifications are common
Work EnvironmentRemote, flexible hours, project-based tasksRemote, flexible hours, often involves data cleaning, visualization, and reporting
Employer & Industry UsageTech companies, finance, marketing agenciesMarket research firms, healthcare, e-commerce

Remote Part Time Data Analytics and Remote Part Time Data Analysis are closely related roles involving working with data remotely on a part-time basis. Data Analytics often emphasizes interpreting data to inform decisions, while Data Analysis may focus more on data cleaning and reporting. Both roles require similar skills, credentials, and work environments, making them interchangeable in many contexts.

What are common challenges faced by remote part time data analysts, and how can they be addressed?

Remote part-time data analysts often encounter challenges such as maintaining effective communication with team members, managing time across multiple projects, and accessing secure data remotely. To address these, it's important to establish clear communication channels—such as regular video meetings or dedicated chat groups—and use robust project management tools. Additionally, familiarizing yourself with your organization's data security protocols and time-tracking practices can help ensure a smooth workflow and data integrity while working remotely.
What are popular job titles related to Remote Part Time Data Analytics jobs in Naperville, IL? For Remote Part Time Data Analytics jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Remote Part Time Data Analytics jobs in Naperville, IL look for? The top searched job categories for Remote Part Time Data Analytics jobs in Naperville, IL are:
Infographic showing various Remote Part Time Data Analytics job openings in Naperville, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,704 per year, or $54.7 per hour.

Part-time

Re-posted 5 days ago


Job description

Arsenault is seeking a Data Analyst to join our team in a part-time capacity. Youll be supporting project teams in collecting, analyzing and visualizing data to uncover key insights to report back to project stakeholders. This is a remote position with the expectation of availability between 10am-6pm ET.

Successful Data Analysts at C&L will be able to efficiently and effectively deliver data reports that not only visualize the expected information in a clear and concise way, but also be able to help identify key findings that could be actioned on.They will work collaboratively with internal teams and customers alike throughout the product development lifecycle.

Your Role

  • Visualize data and uncover report insights
  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Work with management to prioritize business and information needs

Who we're looking for

  • Proven working experience as a data analyst or business data analyst
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Knowledge of data visualization software like Tableau
  • Strong knowledge of and experience with reporting packages, databases, programming
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings

Who We Are

Arsenault consults business leaders on how technology can reduce their overhead, increase their revenue, and improve their relationship with their customers. We use our 16 years of experience designing and building technology solutions to create products that move the needle for companies.