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Remote Business Analytics Professor Jobs (NOW HIRING)

The Wine Group

Business Analytics Manager - Remote

$111K - $130K/yr

This role is eligible for remote work. The role reports to the Director of Business Analytics. ESSENTIAL FUNCTIONS Reporting / Visualization - Design, Update and Maintenance * Design & develop a ...

Libsyn

Head of Business Analytics

Head of Business Analytics Reports to: CEO Location ... Remote, USA About Libsyn Libsyn (Liberated Syndication) is an industry-leading, independent podcast ...

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Remote Business Analytics Professor information

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$26.5K

$95.4K

$134K

How much do remote business analytics professor jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote business analytics professor in the United States is $95,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $126,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Business Analytics Professor vs Remote Data Analyst?

AspectRemote Business Analytics ProfessorRemote Data Analyst
Required CredentialsMaster's or PhD in Business, Analytics, or related field; teaching certificationsBachelor's or Master's in Data Science, Statistics, or related field; technical skills
Work EnvironmentOnline teaching platforms, universities, collegesRemote companies, consulting firms, or in-house teams
Employer & Industry UsageEducational institutions, online universitiesBusiness, finance, healthcare, tech industries
Common Search & ComparisonYesNo

The Remote Business Analytics Professor primarily focuses on teaching and curriculum development in academic settings, requiring advanced degrees and teaching credentials. In contrast, a Remote Data Analyst analyzes data to support business decisions, often with technical certifications and practical data skills. Both roles can be remote, but their industries and daily tasks differ significantly, making this comparison useful for those exploring careers in analytics and education.

What are the key skills and qualifications needed to thrive as a remote business analytics professor, and why are they important?

To thrive as a Remote Business Analytics Professor, you need expertise in statistics, data analysis, and business concepts, usually supported by an advanced degree (such as a PhD or Master's) in business analytics or a related field. Familiarity with analytics tools like R, Python, SQL, Excel, and learning management systems (LMS) is typically required, along with relevant teaching experience or certifications. Exceptional communication, adaptability, and the ability to engage students virtually are vital soft skills for effectively delivering complex material. These competencies ensure that students receive high-quality education and practical skills in a remote learning environment.

What is a remote business analytics professor?

Remote business analytics professors are educators who teach business analytics courses online rather than in a traditional classroom setting. They design and deliver curriculum covering topics like data analysis, statistical modeling, and business intelligence, often using virtual platforms. These professors may work for universities, colleges, or online education providers, and they support students in mastering analytical tools and methods relevant to business decision-making. The remote format allows them to reach a wider audience and often provides flexible learning options for students.

What are some common challenges faced by remote business analytics professors, and how can they be addressed?

Remote Business Analytics Professors often encounter challenges such as maintaining student engagement, managing asynchronous communication, and ensuring effective assessment of analytical skills from a distance. To address these, many professors incorporate interactive virtual tools, frequent video sessions, and real-world case studies to foster participation. Establishing clear communication channels and providing timely feedback are also essential for supporting students and creating a collaborative online learning environment.
More about Remote Business Analytics Professor jobs
What cities are hiring for Remote Business Analytics Professor jobs? Cities with the most Remote Business Analytics Professor job openings:
What are the most commonly searched types of Business Analytics Professor jobs? The most popular types of Business Analytics Professor jobs are:
What states have the most Remote Business Analytics Professor jobs? States with the most job openings for Remote Business Analytics Professor jobs include:
What job categories do people searching Remote Business Analytics Professor jobs look for? The top searched job categories for Remote Business Analytics Professor jobs are:
Remote Business Analytics Professor jobs near you
Infographic showing various Remote Business Analytics Professor job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $95,351 per year, or $45.8 per hour.

Remote Business Analyst

Sigma Systems, Inc.

Pittsburgh, PA • On-site, Remote

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title: Remote Business Analyst – CMS ONC Interoperability (FHIR / ELT / Data Integration)

Job ID: 19985-1 | Contract | 3+ Months

Location: Remote (U.S. based only) – Prefer candidates local to Pittsburgh, PA (onsite 2–3 days/week may be required)

Clearance Requirement: U.S. Citizenship required due to governmental/federal nature of the program

About the Role:

Sigma Systems Inc. is seeking a Remote Business Analyst to support a CMS ONC Interoperability initiative for a key client. This role focuses on enabling end-to-end healthcare data interoperability across clinical and administrative systems using FHIR standards, API-driven architectures, and modern ELT/ETL data pipelines.

The ideal candidate will bridge business requirements and technical implementation—supporting data mapping, transformation logic, API validation, and interoperability workflows across complex healthcare ecosystems. This position requires strong fluency in data engineering concepts, healthcare data standards, and cross-functional stakeholder collaboration.

Key Responsibilities:Data Pipelines & Integration Support
  • Manage and support ELT processes ensuring data quality, accuracy, and timely delivery across multiple source systems
  • Troubleshoot pipeline failures, ingestion issues, and data quality exceptions across cloud and on-prem environments
  • Support SmileCDR operations including configuration, monitoring, debugging, and deployment coordination
FHIR / HL7 Interoperability
  • Map source systems to FHIR R4 resources, profiles, and implementation guides (e.g., PDex, Patient Access API, Provider Access API)
  • Validate FHIR transactions and APIs using tools such as Postman and SmileCDR
  • Support interoperability testing and standards compliance across healthcare data exchanges
Business & Technical Analysis
  • Translate business requirements into data specifications, API requirements, and workflow designs
  • Perform system analysis, impact assessments, and data lineage documentation
  • Partner with architects and engineers on solution design and technical execution
Testing & Quality Assurance
  • Conduct end-to-end validation of ELT pipelines, FHIR resources, and API payloads
  • Support manual and automated testing for data accuracy, schema changes, and interoperability compliance
  • Perform cross-system reconciliation and validation
Customer & Stakeholder Engagement
  • Gather and refine requirements from internal and external stakeholders
  • Define acceptance criteria and support solution alignment
  • Communicate technical interoperability concepts to non-technical audiences
Documentation & Governance
  • Develop detailed documentation including data mappings, business rules, data dictionaries, and SOPs
  • Support data governance, metadata management, and quality initiatives aligned with CMS ONC requirements
Required Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Data Management, or related field (Master's preferred)
  • 5+ years of experience as a Business Analyst supporting data integration, APIs, or healthcare interoperability
  • Strong understanding of ELT/ETL processes, SQL, JSON, APIs, and data validation techniques
  • Hands-on experience with FHIR R4, HL7 standards, and healthcare datasets (claims, clinical, provider, member data, etc.)
  • Experience with data mapping, transformation logic, and source-to-target specifications
  • Strong communication, documentation, and stakeholder management skills
Preferred Experience:
  • Hands-on experience with SmileCDR, HAPI FHIR, or similar interoperability platforms
  • Knowledge of CMS ONC Interoperability initiatives (Patient Access API, PDex, NDH, payer-to-payer exchange)
  • Exposure to Kafka / Confluent, Apache Flink, or streaming data frameworks
  • Experience with data observability tools (e.g., Monte Carlo)
  • Familiarity with modern data platforms such as Apache Iceberg, Starburst, or lakehouse architectures
  • Experience with dbt (data build tool) for transformation modeling and analytics workflows
  • Certifications such as CBAP, CCBA, or data engineering/interoperability credentials
Additional Requirements:
  • Must be a U.S. Citizen
  • Must complete the Sr BA – Interoperability Assessment (Glider ID: Highmark-01010812) and include assessment link on resume
  • Prefer candidates located in or near Pittsburgh, PA (hybrid onsite requirement: 2–3 days/week possible)
Why Join Sigma Systems?
  • Long-term contract-to-hire opportunity with impactful healthcare interoperability work
  • 100% remote flexibility (with potential hybrid option for Pittsburgh candidates)
  • Work on CMS ONC initiatives supporting national healthcare data exchange standards
  • Collaborative, mission-driven environment focused on modern data and interoperability solutions