Data Operations Analyst, Supply Tech

Crystal Equation Corporation; San Francisco (CA); Remote; USD 191,982,000 - 206,309,000; Full time

Benefits offered by this job

Full benefits

PTO (paid time off)

Insurance (medical/dental/vision)

401K

Job summary

Crystal Equation Corporation is seeking a Data Operations Analyst focused on data quality, deduplication, enrichment, and robust lead routing to field reps. You will audit CRM data, resolve misrouted or missing leads, and build scalable qualification processes with SLAs to support reliable prospect assignment.

You will apply your Salesforce experience and strong SQL/Excel skills to validate data, partner with sales leadership, and determine where AI can streamline QA tasks and anomaly detection.

Qualifications

• 5-6+ years in data operations or GTM engineering
• Hands-on Salesforce CRM experience including deduplication and field mapping
• Strong instinct for data quality and complex data structures
• Experience designing lead qualification criteria and SLAs
• Experience with third-party data vendors and enrichment tools
• Strong Excel/Google Sheets skills
• Strong SQL skills for validation and ad hoc analysis
• Python skills are a strong plus
• Experience with AI tools for lightweight internal processes

Responsibilities

• Data sourcing and deduplication to ensure accuracy before pipeline entry
• Lead qualification and routing to ensure correct reps receive qualified leads
• CRM data integrity: clean duplicates and ensure account structures hold up
• Escalations and field partnership to fix underlying data issues
• Identify where AI accelerates data QA, enrichment, or anomaly detection and measure performance

Skills

Salesforce CRM

SQL

Python

Excel/Sheets

AI tools

Lead routing

Data quality

Lead qualification

Tools

CRM tooling

Job description

Data Operations Analyst, Supply Tech Remote Summary: As Data Operations Analyst, you will own lead and account data quality, making sure every prospect flowing from all source systems into rep pipelines is accurate, deduplicated, enriched, and meets category criteria before it ever reaches the field. You'll lead the audit and cleanup of CRM data, handle escalations when prospects are missing or misrouted, and build the qualification processes and SLAs that let reps trust every prospect they're assigned. This role blends technical depth with business judgment. You need to understand how data models and lineage impact business processes, know why data quality matters to the field, and the judgment to get to the right answer when needed.

Responsibilities

• Data Sourcing & Deduplication: Make sure leads and accounts entering the pipeline, no matter which system they come from, are accurate and deduplicated before a rep ever sees them.
• Lead Qualification & Routing: Set and continuously refine the standards that decide whether a lead is good enough to work, and make sure it gets to the right rep, whether it was assigned by the business or sourced by the rep themselves.
• CRM & Account Data Integrity: Own the health of the data in CRM by cleaning up duplicate or broken records and making sure account structures hold up as they interact with other parts of the business.
• Escalations & Field Partnership: Be the go-to person when something breaks for a rep, whether that's a missing lead, a bad match, or a data issue, and fix the underlying process rather than just the one ticket.
• Applying AI Where It Fits: Identify where AI genuinely speeds up data QA, enrichment, or anomaly detection versus where it doesn't, and hold whatever you deploy to a real bar (e.g. false-positive rate) rather than assuming it works because it sounds smart.

Skills

• 5-6+ years of experience in data operations or GTM engineering, ideally in a B2B or marketplace environment.
• Hands-on Salesforce (or comparable CRM) experience, including account structuring, deduplication, field mapping, and data cleanup.
• Strong instinct for data quality; you can navigate complex, imperfect data structures, find and fix inconsistencies, and connect business use cases back to the data pipelines.
• Experience designing or refining lead qualification criteria and SLAs.
• Demonstrated experience sourcing or evaluating third-party data vendors and enrichment tools.
• Strong Excel/Google Sheets skills.
• Strong SQL skills: ability to write queries to validate data, investigate anomalies, or pull ad hoc analysis.
• Python skills a strong plus.
• Experience working with AI tools (e.g., Claude Code) for building lightweight internal processes and engines.
• Clear, proactive communicator comfortable partnering directly with sales reps and field leadership on escalations.
• Process-oriented mindset with the ability to build and document scalable workflows.

How You’ll Know You’re Succeeding

Execution time of quarterly lead generation, deduplication, enrichment, and routing decreases GTM and Ops teams are assigned leads they actually trust and action; number of lead quality issues being flagged quarterly decreases You’re proactively flagging data gaps and proposing solutions before they become escalations.

Compensation

Pay range is $67 - $72 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

Promises We Make

At Crystal Equation, we empower people and advance technology initiatives by building trust.

Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey.

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