Data Operations Analyst

Maleda Tech

2d•$60 - $75•Remote

About The Position

The Data Operations Analyst owns lead and account data quality for a hotel-focused sales organization. The role ensures prospects reaching sales representatives are accurate, deduplicated, enriched, and qualified. It leads CRM data audits and cleanup, resolves escalations involving missing or misrouted leads, and develops qualification processes and service-level agreements (SLAs) that help the sales team trust the leads assigned to them. The position combines technical depth with business judgment. The analyst ensures leads and accounts entering the pipeline from all source systems are accurate and deduplicated before they reach sales. The role maintains and improves lead qualification standards and routing, owns the health and structure of hotel account data in the CRM, and addresses both individual data issues and their underlying process causes. It also identifies appropriate uses of AI for data quality assurance, enrichment, and anomaly detection, evaluating deployed tools against measurable standards. The analyst builds and documents scalable data workflows. This is a remote, U.S.-based W-2 contract engagement scheduled to start November 17, 2026, and run approximately 12 months, through November 12, 2027. The work schedule is 40 hours per week, eight hours per day, five days per week. The pay rate is $60–$75 per hour, plus benefits. Candidates must be authorized to work in the U.S. without sponsorship.

Requirements

5–6+ years of experience in data operations or go-to-market (GTM) engineering.
Hands-on experience with Salesforce or a comparable CRM, including account structuring, deduplication, field mapping, and data cleanup.
Strong data-quality instincts and the ability to navigate complex, imperfect data structures, find and fix inconsistencies, and connect business use cases to data pipelines.
Experience designing or refining lead qualification criteria and SLAs.
Demonstrated experience sourcing or evaluating third-party data vendors and enrichment tools.
Strong SQL skills for validating data, investigating anomalies, and conducting ad hoc analysis.
Strong Excel or Google Sheets skills.
Experience using AI tools, such as Claude Code, to build lightweight internal processes.
Clear, proactive communication and comfort partnering directly with sales representatives and sales leadership on escalations.
A process-oriented mindset.
Must be authorized to work in the U.S. without sponsorship.

Nice To Haves

Experience in a B2B or marketplace environment.
Python skills.

Responsibilities

Ensure leads and accounts entering the pipeline from all source systems are accurate and deduplicated before reaching sales representatives.
Set and refine lead qualification standards and ensure leads are routed to the appropriate representative, whether business-assigned or rep-sourced.
Own hotel account data health in the CRM by cleaning duplicate or broken records and maintaining sound account structures across business systems.
Serve as the point of contact for sales representatives' data issues, including missing leads, bad matches, and data errors; fix underlying process issues rather than only individual tickets.
Identify where AI can improve data QA, enrichment, or anomaly detection and evaluate deployed AI against measurable standards such as false-positive rates.
Build and document scalable data workflows.
Conduct CRM data audits and cleanup.
Design or refine lead qualification criteria and SLAs.
Source or evaluate third-party data vendors and enrichment tools.
Use SQL to validate data, investigate anomalies, and perform ad hoc analysis.