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Owns lead and account data quality across the sales pipeline. Responsibilities include deduplicating and enriching CRM records, defining lead quality and routing standards, maintaining account structures, resolving data escalations, evaluating enrichment vendors, and assessing AI for quality assurance and anomaly detection. Partners with sales leadership to build scalable workflows and validation processes using CRM tools, SQL, spreadsheets, and potentially Python.
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.
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
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- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
