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Remote Business Analytics Professor Jobs in Virginia

Business Analyst

Chantilly, VA · On-site +1

$48K - $98K/yr

Remote Work: No Job Number: R0245517 Location: Chantilly,VA,US Share job via: Share Business Analyst The Opportunity: To transform in today's evolving digital world, organizations must harness data ...

Business Analyst

Alexandria, VA · On-site +1

$120K - $139K/yr

Support PMO in analytics coordination, WBS (Work Breakdown Structure) management, and documentation ... Ability to operate effectively in remote/hybrid team environments * Current NACI or ability to ...

IT Business Analyst

Arlington, VA · On-site +1

$55K - $126K/yr

Remote Work: No Job Number: R0242959 Location: Arlington,VA,US Share job via: Share IT Business Analyst The Opportunity: You know that true progress is made at the intersection of business and tech, ...

Business Analyst

Herndon, VA · On-site +1

$70K - $85K/yr

Business Analyst Location: Remote, USA Clearance: Public Trust Type: Full-time, W2 About VivSoft: VivSoft is a mission-driven technology company specializing in Cloud, DevSecOps, Artificial ...

Business Analyst

Springfield, VA · On-site +1

$55K - $126K/yr

Remote Work: No Job Number: R0233874 Location: Springfield,VA,US Share job via: Share Business Analyst The Opportunity: As a Business Analyst, you'll be a subject matter expert and program leader ...

Technical Business Analyst

Arlington, VA · On-site +1

$95K - $105K/yr

Technical Business Analyst Department: Delivery Employment Type: Full Time Location ... Remote Compensation: $95,000 - $105,000 / year Description At Nüvitek , customer success is our ...

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Remote Business Analytics Professor information

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.
What job categories do people searching Remote Business Analytics Professor jobs in Virginia look for? The top searched job categories for Remote Business Analytics Professor jobs in Virginia are:

Business Analyst (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA • On-site, Remote

Full-time

Retirement, PTO

Re-posted 17 days ago


Job description

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust
Position Overview
Praescient Analytics is seeking an experienced Business Analyst to support advanced fraud analytics and investigative initiatives for a federal oversight organization. This individual will serve as the bridge between Government stakeholders and multidisciplinary technical teams by gathering requirements, documenting investigative and analytical use cases, and translating mission objectives into actionable technical requirements.
Working closely with Project Managers, Data Scientists, Data Engineers, Investigative Analysts, Forensic Accountants, and Government stakeholders, the Business Analyst will ensure analytical solutions align with operational priorities, support fraud detection and program integrity objectives, and deliver meaningful value to investigators and oversight organizations.
The ideal candidate combines strong business analysis skills with an understanding of data analytics, investigative workflows, and Agile delivery practices. They are comfortable engaging both technical and non-technical audiences and enjoy transforming complex mission needs into clear, well-defined requirements that enable successful solution delivery.
Key Responsibilities
  • Collaborate with Government stakeholders to elicit, analyze, document, and validate business, functional, and analytical requirements.
  • Translate fraud detection, investigative, oversight, and program integrity objectives into user stories, acceptance criteria, business requirements, and technical artifacts.
  • Support development and refinement of analytic use cases that leverage data science, machine learning, artificial intelligence (AI), graph analytics, dashboards, and investigative reporting.
  • Facilitate requirements workshops, stakeholder meetings, backlog refinement sessions, sprint planning activities, demonstrations, and solution reviews.
  • Document business processes, workflows, data flows, process improvements, and operational concepts supporting fraud analytics initiatives.
  • Work closely with Data Scientists, Data Engineers, Graph Data Scientists, Investigative Analysts, and Forensic Accountants to clarify requirements and ensure technical solutions align with mission objectives.
  • Maintain requirements traceability throughout the project lifecycle and verify delivered capabilities satisfy stakeholder expectations.
  • Prepare project documentation, meeting summaries, decision logs, implementation plans, status reports, briefing materials, and stakeholder-ready deliverables.
  • Support quality assurance activities by reviewing deliverables for completeness, consistency, and alignment with documented requirements.
  • Assist in evaluating data sources, analytical capabilities, commercial tools, and technology solutions that support fraud detection and investigative missions.

Required Qualifications
  • Three (3) or more years of experience as a Business Analyst, Product Analyst, Requirements Analyst, Data Analyst, or similar role supporting analytics, data-driven solutions, or government technology programs.
  • Must have experience with Fraud Analysis
  • Experience gathering, documenting, and managing business and functional requirements for technical or analytical solutions.
  • Experience developing user stories, acceptance criteria, business process documentation, workflows, and other project artifacts.
  • Experience supporting Agile software development or analytics teams through sprint planning, backlog management, demonstrations, and iterative solution delivery.
  • Strong organizational skills with the ability to manage multiple priorities while coordinating across technical and business stakeholders.
  • Excellent written and verbal communication skills, including the ability to communicate complex analytical concepts to both technical and non-technical audiences.
  • Strong analytical thinking, problem-solving, and facilitation skills.

Preferred Qualifications
Preference will be given to candidates with demonstrated experience in one or more of the following areas:
  • Supporting fraud detection, fraud prevention, financial crimes, program integrity, investigative support, or government oversight initiatives.
  • Working with federal benefit programs, grants, loans, healthcare, unemployment insurance, emergency assistance, disaster relief, or other large-scale public-sector programs.
  • Collaborating with Offices of Inspector General (OIGs), law enforcement organizations, auditors, investigators, or government oversight stakeholders.
  • Supporting multidisciplinary delivery teams that include Data Scientists, Data Engineers, Investigative Analysts, Forensic Accountants, and Project Managers.
  • Working with analytics, business intelligence, machine learning, artificial intelligence (AI), graph analytics, dashboards, or data visualization projects.
  • Understanding data sources, data quality, ETL processes, cloud analytics environments, and enterprise data management concepts.
  • Utilizing collaboration and project management tools such as Jira, Azure DevOps, Confluence, Microsoft Teams, SharePoint, Power BI, SQL, or comparable platforms.
  • Supporting enterprise data governance, data privacy, information sensitivity, and secure handling of government or investigative information.
  • Preparing executive briefings, requirements documentation, implementation plans, process flows, and stakeholder-facing communications for Government customers.

What We're Looking For
We're looking for a Business Analyst who enjoys bringing people, data, and technology together to solve complex mission challenges. The ideal candidate is equally comfortable facilitating discussions with Government stakeholders, collaborating with technical teams, and documenting requirements that enable innovative fraud analytics solutions. They are curious, organized, and mission-focused, with the ability to translate investigative and operational needs into actionable work that helps protect the integrity of federal programs.
What you can expect from us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.
Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescient's employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.