Data Operations Analyst

Maleda Tech

. Ensure leads and accounts entering the pipeline from all source systems are accurate and deduplicated before reaching sales representatives .

Posted 11/4/2026contractRemote • United StatesMid-LevelSenior💰 $60 - $75 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data operations and CRM management, with a strong focus on data accuracy, deduplication, and lead qualification processes. Proficient in leveraging AI tools for data quality assurance and building scalable workflows.

Highest-signal resume keywords

Data Operations ExperienceSalesforce CRM ProficiencyStrong SQL SkillsLead Qualification DesignAI Tools Utilization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleanupDeduplicationField MappingData ValidationAnomaly DetectionLead Qualification CriteriaSQLExcelGoogle SheetsPython

Soft Skills

Proactive CommunicationProcess-Oriented Mindset

Tools & Technologies

SalesforceAI ToolsClaude Code

Industry Keywords

B2BMarketplaceGo-To-Market Engineering

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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
Route each lead to the appropriate representative, whether business-assigned or rep-sourced
Own hotel account data health in the CRM
Clean duplicate or broken records and maintain sound account structures
Resolve data problems such as missing leads, bad matches, and data errors
Fix underlying processes rather than only individual tickets
Identify opportunities for AI in data QA, enrichment, and anomaly detection
Hold deployed AI to measurable standards, including false-positive rates
Build and document scalable data workflows

Requirements

What you’ll need

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
Ability to navigate complex, imperfect data structures, find and fix inconsistencies, and connect business use cases back to data pipelines
Experience designing or refining lead qualification criteria and SLAs
Experience sourcing or evaluating third-party data vendors and enrichment tools
Strong SQL skills for validating data, investigating anomalies, and pulling ad hoc analysis
Strong Excel/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
Process-oriented mindset
Preferred: experience in a B2B or marketplace environment
Preferred: Python skills
Must be authorized to work in the U.S. without sponsorship

Benefits

Comp & perks

Benefits
W-2 contract engagement