Data Operations Analyst

About the Role

We're looking for a Data Operations Analyst to own lead and account data quality across our sales pipeline. In this role, you'll make sure every prospect entering the pipeline - regardless of source system - is accurate, deduplicated, enriched, and ready for the field before a rep ever sees it. This is a high-impact role that blends technical depth with business judgment, directly shaping how confidently our sales teams can act on the data they're given.

Key Responsibilities

• Ensure leads and accounts entering the pipeline are accurate and deduplicated before reaching sales reps, regardless of source system
• Set and continuously refine the standards that determine lead quality and routing, whether leads are business-assigned or self-sourced
• Own the health of CRM data by cleaning up duplicate or broken records and maintaining sound account structures
• Serve as the go-to resource for data-related escalations - missing leads, bad matches, or broken processes - fixing root causes rather than one-off tickets
• Evaluate where AI can meaningfully improve data QA, enrichment, or anomaly detection, and hold any deployed solution to a measurable quality bar

Qualifications

Required:

• 5-6+ years of experience in data operations or go-to-market engineering, ideally in a B2B or marketplace environment
• Hands-on Salesforce (or comparable CRM) experience, including account structuring, deduplication, and field mapping
• Strong data quality instincts, with the ability to navigate complex, imperfect data structures and connect business use cases to data pipelines
• Experience designing or refining lead qualification criteria and SLAs
• Experience sourcing or evaluating third-party data vendors and enrichment tools
• Strong Excel/Google Sheets skills
• Strong SQL skills, including the ability to write queries for validation, anomaly investigation, and ad hoc analysis
• Clear, proactive communicator comfortable partnering directly with sales and field leadership
• Process-oriented mindset with the ability to build and document scalable workflows

Preferred:

• Python skills
• Experience using modern AI tools to build lightweight internal processes and workflows

Key Details

• Start Date: September 29, 2026
• Duration: Approximately 12 months
• Location: Remote (within the U.S.)
• Work Schedule: Full-time, 40 hours/week (Monday-Friday)
• Pay Rate: $60 - $75/hour + benefits (medical, dental, vision, 401k)
• Work Authorization: Must be authorized to work in the U.S. without sponsorship.
• Engagement: W2 Contract role through Maleda Tech.