Data Ops Analyst

Crystal Equation Corporation; San Francisco (CA); Remote; USD 85,000 - 92,000; Full time

Benefits offered by this job

Paid time off

Health insurance

401K

Parental leave

Job summary

Crystal Equation Corporation is seeking a Data Ops Analyst to own lead and account data quality for Hotels, ensuring deduplication, enrichment, and criteria-based routing before reps see prospects. You will define SLAs, audit CRM data quality, and collaborate with sales on escalations, blending technical depth with business judgment.

You will apply AI judiciously, build scalable data workflows, and leverage SQL/Python and Excel/Sheets to validate data and fix root causes.

Qualifications

• 5-6+ years of experience in data operations or GTM engineering.
• Hands-on Salesforce experience incl. account structuring, deduplication, field mapping, and data cleanup.
• Strong instinct for data quality; you can navigate complex data structures and fix inconsistencies.
• Experience designing or refining lead qualification criteria and SLAs.
• Experience sourcing third-party data vendors and enrichment tools.
• Strong Excel/Google Sheets skills.
• Strong SQL skills to validate data and investigate anomalies; Python is a plus.
• Experience with AI tools for lightweight internal processes.

Responsibilities

• Data Sourcing & Deduplication: ensure leads and accounts entering the pipeline are accurate and deduplicated.
• Lead Qualification & Routing: refine standards to decide if a lead is good enough and route correctly.
• CRM & Account Data Integrity: maintain Hotels data health in CRM and clean duplicates.
• Escalations & Field Partnership: act as the go-to for data issues and fix underlying processes.
• Applying AI Where It Fits: identify where AI speeds data QA without overstating capabilities.

Skills

Data operations

Salesforce

SQL

Python

Excel/Google Sheets

AI tools

Tools

Salesforce

AI tools (Claude Code)

Job description

Data Ops Analyst Remote Summary

As Data Operations Analyst, you will own lead and account data quality for Hotels, 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 the Hotels 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 Hotels 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.

Requirements

• 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

Pay range is $62 - $67 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.

THE 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.

For more information regarding your Privacy Policy, please visit crystalequation.com/privacy.