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Data Integrity Analyst Jobs in Colorado (NOW HIRING)

EchoStar

Data Analyst

Englewood, CO

$63K - $90K/yr

You will be responsible for ensuring data integrity, modeling financial impacts of plan changes ... Collect, model, and analyze large-scale datasets with meticulous attention to detail to ensure high ...

EchoStar

Data Analyst

Englewood, CO · On-site

$63K - $90K/yr

You will be responsible for ensuring data integrity, modeling financial impacts of plan changes ... Collect, model, and analyze large-scale datasets with meticulous attention to detail to ensure high ...

COMIRB

Data Quality Specialist

Denver, CO

This position identifies and remedies data integrity issues and errors, maintains a systematic ... Analytical and problem-solving skills, including the ability to examine and summarize data and ...

Averna

AI Savvy Data Analyst

Denver, CO

Perform statistical analysis on manufacturing test data to ensure data integrity, reliability, and readiness for automation and rootcause analysis. * Continuously provide feedback upstream to improve ...

Averna

AI Savvy Data Analyst

Denver, CO · On-site +1

Perform statistical analysis on manufacturing test data to ensure data integrity, reliability, and readiness for automation and root-cause analysis. * Continuously provide feedback upstream to ...

Averna

AI Savvy Data Analyst

Denver, CO · On-site

Perform statistical analysis on manufacturing test data to ensure data integrity, reliability, and readiness for automation and root‑cause analysis. * Continuously provide feedback upstream to ...

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All JobsData Integrity Analyst JobsData Integrity Analyst Jobs in Colorado

Data Integrity Analyst information

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How much do data integrity analyst jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for data integrity analyst in Colorado is $50.93, according to ZipRecruiter salary data. Most workers in this role earn between $36.39 and $63.46 per hour, depending on experience, location, and employer.

What Does a Data Integrity Analyst Do?

Data integrity analysts manage the security of their company’s data. As a data integrity analyst, you monitor access to information, ensuring that files are only viewed by those authorized to utilize them and that the data is used properly. You also regularly check that the firewall and security systems at the company are up-to-date and still effective in preventing security breaches. Data integrity analysts may work in an office or technical center and must be willing to hold employees accountable for any infractions against data policy.

How does a Data Integrity Analyst typically collaborate with other teams within an organization?

Data Integrity Analysts often work closely with IT, data engineering, and business operations teams to ensure that data remains accurate, consistent, and secure throughout its lifecycle. They participate in regular meetings to discuss data quality issues, share findings from audits, and recommend process improvements. Effective communication skills are essential, as analysts frequently translate technical data integrity concepts for non-technical stakeholders and help implement best practices across departments.

What is a Data Integrity Analyst?

A Data Integrity Analyst is a professional responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They monitor data quality, identify and resolve inconsistencies or errors, and implement processes to maintain high data standards. Data Integrity Analysts often work closely with IT, data management, and business teams to develop and enforce data governance policies. Their role is essential for organizations that rely on accurate data for decision-making, compliance, and operational efficiency.

What are the key skills and qualifications needed to thrive as a Data Integrity Analyst, and why are they important?

To thrive as a Data Integrity Analyst, you need strong analytical abilities, attention to detail, and a background in data management or information systems, often supported by a relevant degree. Proficiency with database management systems (such as SQL), data quality tools, and knowledge of data governance frameworks is typically required. Strong problem-solving, communication, and organizational skills help analysts effectively identify and resolve data discrepancies. These skills ensure the reliability and accuracy of data, which is critical for informed decision-making and maintaining regulatory compliance.

What is the difference between Data Integrity Analyst vs Data Quality Analyst?

AspectData Integrity AnalystData Quality Analyst
CertificationsCertified Data Management Professional (CDMP), Data Management certificationsData Quality certifications, Data Management certifications
Work EnvironmentIT departments, data warehouses, compliance teamsBusiness units, analytics teams, data governance
Employer & Industry UsageFinance, healthcare, technologyRetail, marketing, finance

Both roles focus on data accuracy and reliability but differ in scope. Data Integrity Analysts primarily ensure data remains accurate, consistent, and secure across systems. Data Quality Analysts focus on assessing and improving data quality metrics to support business decisions. While overlapping, their specific responsibilities and environments distinguish them.

More about Data Integrity Analyst jobs
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What are popular job titles related to Data Integrity Analyst jobs in CO? For Data Integrity Analyst jobs in CO, the most frequently searched job titles are:
Data Integrity Analyst jobs near you
Lead GTM Data Operations Analyst, AI Workflows

Lead GTM Data Operations Analyst, AI Workflows

Klaviyo

Denver, CO • On-site

Full-time

Posted 13 days ago

Job description

Job Summary:
Klaviyo is a company that empowers creators to own their destiny by making first-party data accessible and actionable. They are seeking a Lead GTM Data Operations Analyst to operate, tune, and extend their agentic data quality pipeline, ensuring it runs reliably and improves continuously while managing the handoff between automated output and human review.
Responsibilities:
• Run and monitor production pipeline sessions (Cartographer, Sentinel, Resolver) across scheduled cadences; diagnose and resolve failures (API errors, session timeouts, data anomalies) without escalating to the function lead.
• Execute pipeline runs in Claude Claude and tmux; manage long-running batch processes; interpret logs and output to confirm data integrity before downstream handoff.
• Maintain pipeline orchestration scripts and configuration; extend agent coverage as new data elements are prioritized by GTM leadership.
• Refine detection rules, prompt logic, and confidence thresholds based on output analysis and false-positive/negative patterns.
• Evaluate agent accuracy by segment (Enterprise vs. MM/SMB) and recommend rule or workflow changes backed by evidence.
• Run bake-offs (vendor vs. AI enrichment) to optimize cost, coverage, and accuracy; document results for decision-making.
• Own the handoff between Sentinel detection output and Concentrix triage queues; define queue structure, priority tiers, and resolution instructions.
• Monitor offshore resolution quality and throughput; refine detection rules based on patterns surfaced through triage.
• Close the feedback loop: track resolution outcomes back to agent configuration to reduce recurring false positives and improve detection precision.
• Maintain ops-only staging fields; manage the promote-to-production flow with audit controls.
• Design and run AI-assisted enrichment workflows (Clay + LLM prompts) with evidence links and confidence thresholds.
• Monitor fill-rate, sampled accuracy, freshness, and cost-per-record by source and segment; surface vendor performance issues and recommend changes.
• Keep data dictionaries, SOPs, and runbooks current as agents and processes evolve.
• GTM Systems (SFDC): field configuration, permission sets, automation, flows.
• Data Engineering: source availability, ID mapping, lineage (no pipeline coding).
• Reporting: define metrics and acceptance criteria; partner on dashboard requirements.
Qualifications:
Required:
• 3–6 years in Data Ops, Sales Ops, or GTM Ops with hands-on data quality ownership for account and contact data.
• Proficiency with Snowflake (SQL for querying, analysis, validation) and SFDC (object model, field configuration, data flows).
• Working experience with Claude Code or comparable LLM-based tooling in an operational (not just experimental) context.
• Experience designing and running AI-assisted enrichment workflows (e.g., Clay + LLM prompts) and evaluating accuracy/coverage.
• Comfort operating in a command-line environment: tmux, shell scripts, log analysis, batch process monitoring.
• Process design mindset with a bias toward measurable outcomes; strong written communication.
Preferred:
• Experience with account/contact data vendors (D&B, ZoomInfo, Clearbit, StoreLeads) and waterfall enrichment logic.
• Python for QA scripting, sampling, or light automation.
• Familiarity with prompt engineering, confidence scoring, and AI guardrails (evidence capture, versioned prompts, QA sampling gates).
Company:
Klaviyo is an automation and email platform designed to help grow businesses. Founded in 2012, the company is headquartered in Boston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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