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Remote Retail Link Analyst Jobs in Virginia (NOW HIRING)

Remote - MUST BE LOCATED IN: Colorado, Wyoming, Illinois, Texas, Arizona, Florida, Washington ... Hands‑on experience with L360, CUDL, Ideal, Keystone Correlation, Loans PQ, and/or Meridian Link

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Remote Retail Link Analyst information

How does a Remote Retail Link Analyst typically collaborate with cross-functional teams while working remotely?

As a Remote Retail Link Analyst, you will regularly interact with sales, supply chain, and category management teams through virtual meetings and shared digital platforms. Effective communication is crucial for interpreting data trends, troubleshooting supply issues, and supporting decision-making based on real-time Retail Link analytics. You can expect to use tools like Zoom, Microsoft Teams, and collaborative dashboards to share insights, address challenges, and align on business objectives. This remote structure requires proactive communication, good documentation practices, and a collaborative mindset to ensure successful cross-departmental outcomes.

What are the key skills and qualifications needed to thrive as a Remote Retail Link Analyst, and why are they important?

To thrive as a Remote Retail Link Analyst, you need strong analytical skills, experience with retail data analysis, and a solid understanding of supply chain or sales reporting, often supported by a degree in business, analytics, or a related field. Proficiency in Walmart Retail Link, Microsoft Excel, and business intelligence tools such as Power BI or Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication skills are essential soft skills for collaborating remotely with clients or teams. These skills and tools are crucial for accurately interpreting data, driving sales insights, and supporting strategic retail decisions in a virtual work environment.

What is the difference between Remote Retail Link Analyst vs Remote Data Analyst?

AspectRemote Retail Link AnalystRemote Data Analyst
Required CredentialsTypically requires retail-specific certifications, data analysis skills, and familiarity with Retail Link softwareRequires general data analysis certifications, such as SQL, Excel, or statistical tools
Work EnvironmentPrimarily retail industry, working with supply chain and sales dataVarious industries, analyzing large datasets across sectors
Employer & Industry UsageUsed mainly by retail companies and suppliersUsed across multiple industries including finance, healthcare, and marketing
Search & Comparison IntentOften searched by retail professionals comparing roles in retail data analysisBroader search for data analysis roles in different sectors

The Remote Retail Link Analyst focuses on retail-specific data, supply chain, and sales metrics, often requiring retail certifications. In contrast, Remote Data Analysts work across industries with general data skills. Both roles involve analyzing data remotely but serve different industry needs.

What is a Remote Retail Link Analyst?

A Remote Retail Link Analyst is a professional who specializes in using Walmart’s Retail Link system to analyze sales, inventory, and supply chain data for suppliers. Working remotely, they provide insights and reporting to help companies make strategic business decisions, optimize product assortment, and improve sales performance. Their responsibilities often include generating reports, identifying trends, and providing recommendations based on data analysis, all while collaborating with teams and clients virtually.
What are the most commonly searched types of Retail Link Analyst jobs in Virginia? The most popular types of Retail Link Analyst jobs in Virginia are:
What are popular job titles related to Remote Retail Link Analyst jobs in Virginia? For Remote Retail Link Analyst jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Remote Retail Link Analyst jobs? Cities in Virginia with the most Remote Retail Link Analyst job openings:
Senior Investigative Analyst (Fraud Analytics & Investigative Support)

Senior Investigative Analyst (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA • On-site, Remote

Full-time

Retirement, PTO

Posted yesterday


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 Senior Investigative Analyst to support federal fraud detection, investigative analysis, and program integrity initiatives. This individual will analyze structured and unstructured data from a wide range of public and non-public sources to identify fraud indicators, develop investigative leads, and produce high-quality intelligence products supporting Offices of Inspector General (OIGs), law enforcement, and government oversight organizations.
The ideal candidate is an analytical problem solver with experience investigating complex fraud schemes involving government benefit programs and financial crimes. They are equally comfortable conducting detailed research, analyzing large datasets, identifying patterns and relationships, and transforming complex findings into clear investigative products that support operational decision-making.
Key Responsibilities
  • Conduct investigative analysis supporting fraud, waste, abuse, and mismanagement investigations involving federal benefit programs and other government-funded initiatives.
  • Analyze structured and unstructured data from public, non-public, commercial, financial, and law enforcement sources to identify fraud indicators, emerging patterns, and investigative leads.
  • Research and evaluate fraud typologies, suspicious activities, and complex entity relationships associated with government benefit fraud and financial crimes.
  • Develop investigative reports, referral packages, case summaries, intelligence products, and briefing materials suitable for referral to law enforcement and oversight organizations.
  • Perform link analysis and relationship analysis using SQL, Neo4j, i2 Analyst's Notebook, and comparable investigative analysis platforms.
  • Identify organized fraud rings, synthetic identities, eligibility fraud, identity theft, cross-program fraud, and other complex fraud schemes through data-driven investigative techniques.
  • Collaborate with Data Scientists, Graph Data Scientists, Data Engineers, Forensic Accountants, and Government investigators to integrate analytic findings into comprehensive investigative products.
  • Validate investigative findings, document analytical methodologies, and maintain detailed case documentation supporting investigative conclusions.
  • Present investigative findings, analytical assessments, and recommendations to Government leadership, investigators, and oversight stakeholders.
  • Support continuous improvement of investigative methodologies by incorporating new analytic techniques, emerging data sources, and evolving fraud indicators.

Required Qualifications
  • Three (3) or more years of professional experience conducting investigative analysis supporting government benefit fraud, financial crimes, or comparable investigative missions.
  • Three (3) or more years of experience analyzing structured and unstructured data from public and non-public data sources to identify fraud indicators, suspicious patterns, and investigative leads.
  • Strong working knowledge of fraud typologies relevant to government benefit programs, including identity fraud, eligibility fraud, organized fraud rings, synthetic identity schemes, and related financial crimes.
  • Proficiency with analytical tools including SQL, Microsoft Excel, Neo4j, i2 Analyst's Notebook, or comparable link analysis and investigative platforms.
  • Three (3) or more years of experience preparing investigative reports, referral packages, intelligence products, and case summaries suitable for law enforcement or oversight organizations.
  • Excellent written and verbal communication skills, including the ability to clearly present investigative findings to senior Government stakeholders.
  • Strong analytical reasoning, critical thinking, and problem-solving skills with exceptional attention to detail.

Preferred Qualifications
Preference will be given to candidates with demonstrated experience in one or more of the following areas:
  • Supporting investigations involving pandemic relief, emergency assistance, grants, loans, unemployment insurance, healthcare fraud, disaster relief, financial assistance programs, or other large-scale federal benefit programs.
  • Working with Offices of Inspector General (OIGs), federal law enforcement agencies, financial crime task forces, intelligence organizations, prosecutors, or other government oversight entities.
  • Identifying fraud typologies including synthetic identity fraud, organized fraud rings, account takeover, identity theft, eligibility fraud, shell companies, nominee entities, and cross-program fraud schemes.
  • Applying advanced analytical techniques such as entity resolution, link analysis, graph analytics, network analysis, anomaly detection, geospatial analysis, or open-source intelligence (OSINT) to support investigations.
  • Utilizing investigative tools such as Neo4j, i2 Analyst's Notebook, SQL, Power BI, Microsoft Excel, visualization platforms, or comparable investigative analysis technologies.
  • Producing investigative work products including intelligence reports, lead packages, link analysis diagrams, timeline analysis, executive briefings, and referral documentation supporting criminal, civil, or administrative investigations.
  • Conducting due diligence research utilizing public records, commercial databases, financial records, corporate records, sanctions data, and other investigative information sources.
  • Collaborating within multidisciplinary investigative teams that include data scientists, forensic accountants, intelligence analysts, graph data scientists, and technical specialists.
  • Supporting high-volume investigative environments requiring rapid identification of emerging fraud schemes, investigative prioritization, and timely delivery of actionable intelligence.

What We're Looking For
We're looking for an investigative analyst who enjoys connecting disparate pieces of information to uncover complex fraud schemes. The ideal candidate has a strong investigative mindset, excellent analytical skills, and the ability to transform large volumes of structured and unstructured data into clear, actionable intelligence. They take pride in producing well-supported investigative products that help Government partners identify fraud, prioritize investigative leads, strengthen case development, and 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.