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Remote Amazon Business Intelligence Engineer Jobs in Springfield, VA

Babel Street

Software Engineer III

Reston, VA · On-site +1

$59.75 - $80.25/hr

... business intelligence from complex web environments. This role ensures the continuous, reliable ... Candidates near our Somerville, MA or Reston, VA offices are preferred but remote work it potential ...

ICF

Senior Technical Business Analyst

Reston, VA · On-site +1

Virginia Remote (with local travel to ICF's office and client events as needed) Ready to make a ... Working at ICF means applying your passion for meaningful work and intellectual rigor to help solve ...

Lexical Intelligence LLC

NLM Cloud Engineer III

Bethesda, MD · Remote

$59.50 - $79.50/hr

Cloud Engineer III Lexical Intelligence provides software and services related to processing large ... Demonstrated experience with cloud platforms including Google Cloud (GC), Amazon Web Services (AWS ...

Steampunk

AWS Cloud Architect

Mclean, VA · On-site +1

$65.50 - $86/hr

Database architecture * ETL * Business intelligence * Big data * Machine learning * Advanced ... Amazon CloudWatch for monitoring and logging * Experience implementing or operating within ...

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How much do remote amazon business intelligence engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote amazon business intelligence engineer in Springfield, VA is $59.59, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $66.54 per hour, depending on experience, location, and employer.

What does a remote Amazon Business Intelligence Engineer do?

A Remote Amazon Business Intelligence Engineer is responsible for designing, developing, and maintaining data solutions that help Amazon make data-driven decisions. They work with large datasets, build dashboards, create data models, and generate reports to support different business teams. Their role often involves using tools like SQL, Python, and AWS services to extract and analyze data. Working remotely, they collaborate with stakeholders across Amazon to deliver insights that improve processes and drive business growth.

What are the main collaboration methods for a remote Amazon Business Intelligence Engineer working with cross-functional teams?

As a Remote Amazon Business Intelligence Engineer, effective collaboration is essential, especially when working with data scientists, product managers, and software engineers across different time zones. Most communication occurs through virtual meetings, project management platforms, and regular status updates via email or chat tools. You'll often participate in sprint planning sessions, data review meetings, and code reviews to ensure data solutions align with business objectives. Building strong remote relationships and maintaining clear, proactive communication are key to overcoming the challenges of working in a distributed team environment.

What are the key skills and qualifications needed to thrive as a remote Amazon Business Intelligence Engineer, and why are they important?

To thrive as a Remote Amazon Business Intelligence Engineer, you need strong analytical skills, expertise in data modeling, and proficiency in SQL and data visualization, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with Amazon Web Services (AWS), business intelligence tools like Tableau or QuickSight, and ETL systems is commonly required. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and translating business needs into actionable insights. These skills are crucial for driving data-informed decision-making and delivering impactful business solutions in a distributed work environment.

What is the difference between Remote Amazon Business Intelligence Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Business Intelligence EngineerRemote Amazon Data Analyst
Required SkillsData modeling, SQL, BI tools, AWS servicesData querying, Excel, SQL, visualization tools
Work EnvironmentCross-functional teams, cloud-based platformsData-focused roles, reporting environments
Industry UsageTech, retail, e-commerceRetail, marketing, e-commerce

The Remote Amazon Business Intelligence Engineer focuses on designing and maintaining data systems and dashboards to support business decisions, often working with cloud platforms like AWS. In contrast, the Remote Amazon Data Analyst primarily interprets data, creates reports, and provides insights. Both roles require SQL and data visualization skills but differ in scope and technical depth.

What are the most commonly searched types of Amazon Business Intelligence Engineer jobs in Springfield, VA?

The most popular types of Amazon Business Intelligence Engineer jobs in Springfield, VA are:

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For Remote Amazon Business Intelligence Engineer jobs in Springfield, VA, the most frequently searched job titles are:

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The top searched job categories for Remote Amazon Business Intelligence Engineer jobs in Springfield, VA are:

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Cities near Springfield, VA with the most Remote Amazon Business Intelligence Engineer job openings:

Remote Amazon Business Intelligence Engineer jobs near you

Business Analyst (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA • Remote

Full-time

Retirement, PTO

Re-posted 9 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.

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