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.
Skills 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 and ability to connect business use cases to data pipelines
- Experience designing or refining lead qualification criteria and service-level agreements
- Experience sourcing or evaluating third-party data vendors and enrichment tools
- Strong Excel and Google Sheets skills
- Strong SQL skills for validation, anomaly investigation, and ad hoc analysis
- Clear, proactive communication skills and comfort partnering with sales and field leadership
- Process-oriented mindset and ability to build and document scalable workflows
- Python skills
- Experience using modern AI tools to build lightweight internal processes and workflows
What We Do
Maleda Tech is a global contingent workforce solutions provider that offers Employer of Record (EOR) and Managed Service Provider (MSP) services. The company specializes in connecting highly skilled IT professionals from the US and Africa with clients, operating as a minority-owned business enterprise. They focus on building and fixing contingent workforce programs for companies across three continents, leveraging a diverse, global talent pool to meet technical staffing needs.
