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Remote Data Analytics Instructor Jobs in Randolph, MA

Data Architect

Boston, MA · Remote

$69.25 - $89/hr

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems ... remote global workforce. If you are passionate about leading large-scale cloud and data ...

... analytics delivered to healthcare organizations nationwide. Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles & Responsibilities * Lead data quality ...

... analytics delivered to healthcare organizations nationwide. Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles & Responsibilities * Lead data quality ...

Senior Health Data Consultant

Boston, MA · On-site +1

$120K - $160K/yr

This is a remote role. Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance ... This is a client-facing, analytics-driven role focused on pricing consultations, AI model adoption ...

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, JERSEY CITY, NJ, New York, NY If this resonates with you, we ...

Showing results 21-40

Remote Data Analytics Instructor information

See Randolph, MA salary details

$25

$55

$96

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 Randolph, MA is $55.82, according to ZipRecruiter salary data. Most workers in this role earn between $44.86 and $63.22 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.

$69.25 - $89/hr

Full-time

Re-posted 23 days 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 leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals.

Responsibilities:

  1. Lead enterprise-scale data, application, and platform migration initiatives across cloud and modern data ecosystems
  2. Conduct discovery and assessment sessions with Business Units, SMEs, and IT stakeholders to understand current-state systems and migration requirements
  3. Assess ETL/ELT pipelines, BI/reporting assets, databases, enterprise applications, and cloud platforms to define migration scope and strategy
  4. Drive migration planning activities including dependency analysis, process-to-object mapping, complexity assessment, and wave-based execution planning
  5. Define and recommend migration approaches such as Rehost (Lift-and-Shift), Replatform, Refactor/Modernization, and Retire/Replace
  6. Collaborate with Enterprise Architects, Cloud Architects, Data Engineers, and Analytics teams to align migration roadmaps with target-state architecture
  7. Ensure migration readiness by coordinating testing, validation, cutover planning, and implementation governance
  8. Provide technical leadership and strategic guidance on cloud modernization, data modernization, and migration best practices
  9. Track risks, dependencies, and project milestones while maintaining clear communication with business and technical stakeholders
  10. Support solution planning, effort estimation, and implementation readiness activities for migration programs

Requirements

  • 10+ years of experience in data, application, or platform migration programs
  • Strong experience leading enterprise cloud transformation and modernization initiatives
  • Hands-on experience with AWS cloud platform and cloud migration strategies
  • Strong understanding of ETL/ELT tools, BI/reporting platforms, relational databases, and cloud data platforms
  • Experience with migration assessment, dependency analysis, and migration roadmap planning
  • Knowledge of data modernization and lakehouse architectures
  • Background in enterprise architecture or solution design
  • Strong stakeholder management, communication, and cross-functional collaboration skills
  • Experience coordinating large-scale migration activities across business and technology teams
  • Self-driven individual with the ability to work independently in fast-paced transformation environments
  • Experience with Agile delivery methodologies and enterprise-scale implementation programs

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.