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Remote Data Analytics Instructor Jobs in Randolph, MA

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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 Jun 28, 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, and why are they important?

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 Randolph, MA look for? The top searched job categories for Remote Data Analytics Instructor jobs in Randolph, MA are:
Remote Data Analytics Instructor jobs near you

Data Governance Analyst

SMART TECH SKILLS LLC

Boston, MA • Remote

Full-time

Posted 12 days ago

Job description

Benefits:
  • Competitive salary

Location
Remote (Candidates must reside in CT, NY, MA, or PA)
Experience Level
Senior Level (5+ years in data governance / financial services)
Role Overview
The Senior Data Governance Analyst / Data Steward leads enterprise data governance, data quality, and metadata management initiatives within a regulated financial services environment. This role acts as a key liaison between business and technical teams to ensure data is accurate, trusted, compliant, and effectively managed across its lifecycle.
Key Responsibilities
Data Governance & Stewardship
  • Serve as Data Steward for assigned domains and governance initiatives
  • Act as liaison across business, Data Engineering, Risk, Compliance, and Security
  • Support governance committees and promote enterprise data standards
Data Quality Management
  • Identify and resolve data quality issues
  • Define and monitor data quality metrics and KPIs
  • Drive root cause analysis and remediation efforts
Metadata & Data Cataloging
  • Maintain business glossaries, data dictionaries, and metadata repositories
  • Support data catalog and lineage documentation initiatives
  • Document source-to-target mappings and data flows
Data Lineage & Controls
  • Maintain data lineage within Databricks / Unity Catalog
  • Document data transformations, dependencies, and ownership
  • Support impact assessments for system and data changes
Regulatory Compliance & Risk
  • Ensure compliance with GLBA, NCUA, FFIEC, CFPB, and security standards
  • Support audits and regulatory reviews
  • Partner with Risk and Compliance teams on governance controls
Data Access Governance
  • Review and approve data access requests
  • Support RBAC and data protection requirements
  • Ensure secure and compliant data usage
Stakeholder Engagement & Training
  • Educate stakeholders on governance policies and data standards
  • Facilitate collaboration between business and technical teams
  • Provide training on data quality and stewardship practices
Required Qualifications
  • Bachelors degree in a relevant technical or data-related field
  • 5+ years of experience in data governance, data stewardship, or data management
  • 5+ years of experience in financial services or other regulated industries
  • Strong experience with:
    • Data governance frameworks and stewardship
    • Data quality management and metadata management
    • Data lineage, catalogs, and business glossaries
  • Experience with Databricks, Unity Catalog, SQL, and data warehousing
  • Knowledge of financial regulatory frameworks (GLBA, FFIEC, NCUA, etc.)
  • Strong stakeholder communication and collaboration skills
Preferred Qualifications
  • Data governance certifications (DAMA CDMP, DGSP)
  • Experience with MDM and enterprise governance programs
  • Experience implementing data catalog or metadata platforms
  • Strong background in financial services data environments
Core Skills & Attributes
  • Strong governance, data quality, and compliance mindset
  • Ability to bridge business and technical teams effectively
  • Strong analytical, problem-solving, and root-cause analysis skills
  • Excellent communication and stakeholder management
  • High attention to detail and documentation discipline
  • Ability to drive governance adoption and continuous improvement

This is a remote position.