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Remote Data Analytics Instructor Jobs in Chicago Heights, IL

Sr. Data Analyst

Chicago, IL ยท Remote

$88K - $111K/yr

Must be able to work with the remote based BI team, and offshore development team, staying closely ... Data Analyst details * Data modeler/analyst must have strong knowledge of star schema and snow ...

Remote Duration: 6 months (can extend) Hours per week: 40 Pay: 45/hr Arsenault is seeking a ... Capacity Planners scope, analyze and forecast the infrastructure demand that powers our diverse set ...

Bachelor's degree in marketing, with experience in analytics or business strategy. * A solid ... Hybrid and Remote work schedules available * Employee Assistance Program (unlimited free telephonic ...

Sales Data Analyst

Chicago, IL ยท Remote

$105K - $115K/hr

Lead analytics-driven projects (e.g., new item launch tracking, void closure initiatives ... Vice President of Strategy LOCATION This is a remote role. Travel to World's Finest Chocolate ...

Energy Engineer

Chicago, IL ยท On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Lead Data Engineer

Chicago, IL ยท 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 ...

Showing results 21-40

Remote Data Analytics Instructor information

See Chicago Heights, IL salary details

$23

$53

$92

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 Chicago Heights, IL is $53.51, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $60.62 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 are popular job titles related to Remote Data Analytics Instructor jobs in Chicago Heights, IL? For Remote Data Analytics Instructor jobs in Chicago Heights, IL, the most frequently searched job titles are:
What job categories do people searching Remote Data Analytics Instructor jobs in Chicago Heights, IL look for? The top searched job categories for Remote Data Analytics Instructor jobs in Chicago Heights, IL are:
What cities near Chicago Heights, IL are hiring for Remote Data Analytics Instructor jobs? Cities near Chicago Heights, IL with the most Remote Data Analytics Instructor job openings:

Senior Data Analyst (Business Intelligence Requirements Lead - FP&A)

Procom

Chicago Heights, IL โ€ข On-site, Remote

$83K - $103K/yr

Contractor

Posted 19 days ago


Job description

BMO is currently sourcing for a Senior Data Analyst (Business Intelligence Requirements Lead - FP&A).
This is a remote contract role (6-month contract) starting August 17, 2026, through January 31, 2027.
Role Overview:
This role supports the Finance organization by acting as the key liaison between FP&A stakeholders and BI development teams. The Senior Data Analyst will gather and translate business requirements into technical specifications to deliver effective reporting and analytics solutions. The position directly impacts financial planning, forecasting, and decision-making processes within the organization.
Key Responsibilities:
  • Collaborate with FP&A stakeholders to gather, analyze, and document business requirements for BI and analytics solutions.
  • Translate complex financial planning concepts such as forecasting cycles, planning seasons, stress testing, P&L analysis, and balance sheet reporting into technical requirements.
  • Serve as the primary bridge between business users and BI development teams to ensure alignment of objectives and deliverables.
  • Facilitate requirement-gathering workshops, stakeholder interviews, and working sessions with finance and business teams.
  • Develop and maintain comprehensive business and functional requirements documentation.
  • Partner with Power BI developers to ensure dashboards and reports meet business expectations and timelines.
  • Perform data validation, reconciliation, and quality assurance to support reporting accuracy.
  • Coordinate and support User Acceptance Testing (UAT) to ensure solutions satisfy business requirements.
  • Utilize SQL and Python for data analysis, validation, prototyping, and exploratory investigations.
  • Promote best practices in requirements management, stakeholder engagement, and BI solution delivery.
  • Continuously improve documentation standards, processes, and methodologies for requirements gathering and solution development.

Must-Have Skills:
  • 5-8 years of FP&A experience within banking, financial services, or related finance environment.
  • Strong understanding of financial planning processes including forecasting, budgeting, planning cycles, and stress testing.
  • 5+ years knowledge of accounting principles including P&L statements, balance sheets, income statements, and financial performance reporting.
  • Bachelor's degree in Finance, Accounting, Business, Data Analytics, Computer Science, or related field (or equivalent experience).
  • Hands-on experience with Power BI and business intelligence reporting solutions.
  • Proficiency in SQL for querying, validating, and analyzing data.
  • Working knowledge of Python for data analysis and validation.
  • Experience gathering, documenting, and translating business requirements into technical specifications.
  • Experience supporting enterprise-scale BI or data analytics initiatives.
  • Familiarity with Agile delivery methodologies.
  • Background in banking, risk management, or financial regulatory reporting.
  • Familiarity with data warehousing and enterprise data management concepts.

Nice to Have Skills:
  • Experience with financial regulatory reporting.
  • Advanced knowledge of data validation and quality assurance techniques.

Ideal Candidate:
  • Proven ability to work effectively with both business stakeholders and technical development teams.
  • Experience facilitating workshops and stakeholder engagement in complex financial environments.
  • Demonstrated ability to improve documentation standards and processes.
  • Strong analytical skills with a focus on financial data and BI solution delivery.