Data Operations Analyst - Supply Tech - Remote​/Telecommute

Position: Data Operations Analyst - Supply Tech - Remote / Telecommute
Job Overview:
Pay Range: $67.41hr - $72.41hr Requirement/Must Have: 5-6+ years of experience in data operations or GTM engineering, ideally in a B2B or marketplace environment. Hands-on Salesforce or comparable CRM experience, including account structuring, deduplication, field mapping, and data cleanup. Strong instinct for data quality with the ability to navigate complex, imperfect data structures and fix inconsistencies. Experience designing or refining lead qualification criteria and SLAs.

Demonstrated experience sourcing or evaluating third-party data vendors and enrichment tools. Strong Excel and Google Sheets skills. Strong SQL skills with the ability to write queries to validate data, investigate anomalies, or pull ad hoc analysis. Experience working with AI tools for building lightweight internal processes and engines. Strong verbal and written communication skills with the ability to partner directly with sales leadership.

Process-oriented mindset with the ability to build and document scalable workflows. Responsibilities:
Own lead and account data quality for the organization, ensuring prospects are accurate, deduplicated, and enriched. Lead the audit and cleanup of CRM data and handle escalations when prospects are missing or misrouted. Build qualification processes and SLAs to ensure field representatives trust assigned prospects. Manage data sourcing and deduplication to ensure leads entering the pipeline are accurate across all source systems.

Set and refine standards for lead qualification and routing to ensure leads reach the correct representative. Maintain CRM and account data integrity by cleaning duplicate or broken records. Act as the primary point of contact for field escalations regarding data issues and fix underlying process problems. Identify and apply AI solutions where appropriate for data QA, enrichment, or anomaly detection.

Proactively flag data gaps and propose solutions before they become escalations. Nice to Have:
Python skills.

Skills:

Salesforce. CRM. SQL. Excel. Google Sheets. Data Operations. GTM Engineering. Data Quality. Lead Qualification. SLA Management. Data Enrichment. AI Tools. Claude Code. Python. Qualification And

Education:

5+ years of experience in data operations or GTM engineering. Benefits:
Our Benefits Include:
Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc.

is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers.

Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.