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Remote Data Analytics Instructor Jobs in Glen Ellyn, IL

RR Donnelley

eBilling Analyst - Remote

Warrenville, IL · Remote

$18.99 - $26.59/hr

The company's proprietary technology, advanced data analytics, and expertise fuel organizational ... Remote RRD is an Equal Opportunity Employer, including disability/veterans At RRD, we value ...

RR Donnelley

eBilling Analyst - Remote

Warrenville, IL · Remote

$18.99 - $26.59/hr

The company's proprietary technology, advanced data analytics, and expertise fuel organizational ... Remote RRD is an Equal Opportunity Employer, including disability/veterans At RRD, we value ...

GATX

Lead Data Engineer

Chicago, IL · On-site +1

$111K - $160K/yr

Overview Lead Data Engineer | Build the Future of Data at GATX Remote (Chicago-area preferred ... You will help shape enterprise analytics strategy, influence architecture, and partner directly ...

Kemper

Director, Data Science Operations

Chicago, IL · Remote

$160K - $226K/yr

Lead analytics/data science ETL projects. Lead team. Evaluate organization's tech. needs, create POCs for new implementation or tech. enhancement & recommend improvements. Remote working benefits ...

NinjaTrader

Sr. Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

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Remote Data Analytics Instructor information

See Glen Ellyn, IL salary details

$23

$53

$91

How much do remote data analytics instructor jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote data analytics instructor in Glen Ellyn, IL is $53.22, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $60.29 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Analytics Instructor vs Remote Data Analyst?

AspectRemote Data Analytics InstructorRemote Data Analyst
Required CredentialsTypically a degree in data science, analytics, or related field; teaching certifications are a plusDegree in data science, statistics, or related field; often requires proficiency in analytics tools
Work EnvironmentOnline teaching platforms, educational institutions, corporate trainingRemote offices, companies, or consulting firms
Employer & Industry UsageEducational institutions, online course providers, corporate training programsBusinesses across industries, consulting firms, finance, healthcare, tech

While both roles involve data skills, a Remote Data Analytics Instructor focuses on teaching and curriculum development in educational settings, whereas a Remote Data Analyst applies data analysis techniques directly to business problems. The roles share similar credentials but differ mainly in their primary responsibilities and work environments.

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

To thrive as a Remote Data Analytics Instructor, you need a strong background in data analytics, statistics, and teaching, usually demonstrated by a relevant degree and industry experience. Familiarity with data analysis tools such as Excel, SQL, Python, R, and learning management systems (LMS) is essential, along with certifications like Tableau or Google Data Analytics. Excellent communication, patience, and the ability to engage and motivate remote learners are valuable soft skills in this role. These skills ensure effective instruction, student engagement, and successful learning outcomes in a virtual environment.

What are some common challenges faced by remote data analytics instructors, and how can they be effectively managed?

Remote Data Analytics Instructors often encounter challenges such as maintaining student engagement in a virtual setting, addressing diverse learning paces, and ensuring clear communication despite not being physically present. To manage these, instructors can leverage interactive teaching tools, schedule regular check-ins, and provide a variety of learning resources to accommodate different student needs. Building a supportive online community and encouraging active participation also help foster a collaborative and effective learning environment.

What does a remote data analytics instructor do?

A Remote Data Analytics Instructor teaches students data analysis concepts and tools through online platforms. They develop and deliver course materials, lead live or recorded lessons, and provide feedback on assignments. Instructors often cover topics like data visualization, statistical analysis, and using software such as Excel, Python, or SQL. Their goal is to help students gain practical skills for analyzing and interpreting data in real-world scenarios.
What job categories do people searching Remote Data Analytics Instructor jobs in Glen Ellyn, IL look for? The top searched job categories for Remote Data Analytics Instructor jobs in Glen Ellyn, IL are:
What cities near Glen Ellyn, IL are hiring for Remote Data Analytics Instructor jobs? Cities near Glen Ellyn, IL with the most Remote Data Analytics Instructor job openings:
Remote Data Analytics Instructor jobs near you

Associate Director/Director - Analytics Consulting

Tiger Analytics Inc.

Chicago, IL • On-site, Remote

Full-time

Re-posted 19 hours ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you.

Responsibilities

Program Leadership & Delivery: Lead the end-to-end delivery of complex data and analytics programs. Own the roadmap, from problem definition and solution design to production-grade deployment.

Stakeholder Management: Act as the primary point of contact for client VPs and Directors. Translate unstructured business problems into high-level analytics solution designs.

Global Team Management: Lead and mentor a hybrid team of onshore (US) and offshore (Global Delivery Center) data scientists and data engineers. Ensure seamless collaboration across time zones.

Solution Architecture: Work with technical leads to design of scalable AI/ML pipelines and data architectures. Ensure solutions adhere to enterprise standards and leverage modern technology stack

Domain Expertise: Apply deep Insurance domain knowledge to validate model outputs and ensure they align with industry nuances

Commercial Impact: Present analytical findings and quantify the business value and drive the operationalization of AI into business processes.

Requirements

  • 13-15 years of total experience with 7+ years in Insurance domain with consulting.
  • Ability to engage with executive/VP level stakeholders from client's team to translate business problems to high level analytics solution approach
  • Deep knowledge and understanding of the US Insurance industry.
  • Strong project management and team management skills and ability to work with global teams.
  • Solid understanding of statistical and machine learning algorithms is a plus.
  • Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Qlik or Tableau is a plus
  • Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
  • Graduate in Business Analytics or MBA or equivalent work experience

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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