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Data Integrity Analyst Jobs in Colorado (NOW HIRING)

Data Engineer

Denver, CO · On-site

$90K - $107K/yr

... analytics, MRP optimization, and real-time decision-making, forming a critical component of Hercules' transition to a modern, data-centric enterprise. PURPOSE: Own the design, integrity, and ...

Analyze large-scale procurement datasets (e.g., Coupa, SAP) to identify trends, leakage, and ... Data Integrity & Governance: Oversee data accuracy within Jira and our Sourcing modules. Help ...

Analyze large-scale procurement datasets (e.g., Coupa, SAP) to identify trends, leakage, and ... Data Integrity & Governance: Oversee data accuracy within Jira and our Sourcing modules. Help ...

Data Engineer

Denver, CO · On-site

$90K - $107K/yr

... analytics, MRP optimization, and real-time decision-making, forming a critical component of Hercules' transition to a modern, data-centric enterprise. PURPOSE: Own the design, integrity, and ...

... analytics, MRP optimization, and real-time decision-making, forming a critical component of Hercules' transition to a modern, data-centric enterprise. PURPOSE: Own the design, integrity, and ...

Maintain CRM governance and data integrity across accounts, hierarchies, opportunities, and ... Deliver data and analysis to support QBRs, account planning, and 1LM / 2LM leadership reviews.

The Analyst also provides analytical support to the Sales and Operations Team through targeted ... Success is measured by accuracy, timeliness, automation, data integrity and standards adherence ...

The Analyst also provides analytical support to the Sales and Operations Team through targeted ... Success is measured by accuracy, timeliness, automation, data integrity and standards adherence ...

The Analyst also provides analytical support to the Sales and Operations Team through targeted ... Success is measured by accuracy, timeliness, automation, data integrity and standards adherence ...

The Analyst also provides analytical support to the Sales and Operations Team through targeted ... Success is measured by accuracy, timeliness, automation, data integrity and standards adherence ...

... integrity and consistent quality. Quantix HealthTech serves the specific needs of the healthcare ... Data Analyst Location: Centennial, CO Type: Contract Length: 9 months Our client in the Centennial ...

Analyze large and complex datasets from Electronic Health Record (EHR), Enterprise Resource Planning (ERP), and other healthcare systems to identify trends and validate data integrity. * Perform data ...

Data Analytics Engineer

Fort Collins, CO · On-site

$102K - $146K/yr

We are looking for an Analytics Engineer to join our growing data team and help transform payments ... Ensure data quality and integrity through testing, monitoring, and documentation * Optimize data ...

We are looking for an Analytics Engineer to join our growing data team and help transform payments ... Ensure data quality and integrity through testing, monitoring, and documentation * Optimize data ...

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Data Integrity Analyst information

See Colorado salary details

$21

$50

$75

How much do data integrity analyst jobs pay per hour?

As of Jun 16, 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.

What are popular job titles related to Data Integrity Analyst jobs in Colorado? For Data Integrity Analyst jobs in Colorado, the most frequently searched job titles are:
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 Engineer

Data Engineer

Hercules Industries, Inc.

Denver, CO • On-site

$90K - $107K/yr

Full-time

Posted 9 days ago


Hercules Industries rating

8.1

Company rating: 8.1 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

123rd of 418 rated machine equipment manufacturers


Job description

SUMMARY: The Data Engineer at Hercules Industries is responsible for building, governing, and continuously improving the data foundation that powers decision-making across supply chain, operations, and commercial functions. This role serves as both a steward of data integrity and a builder of scalable data infrastructure, enabling accurate, connected, and actionable data across the organization. $90,000 - $107,000 per year, DOE

The Data Engineer directly supports advanced analytics, MRP optimization, and real-time decision-making, forming a critical component of Hercules’ transition to a modern, data-centric enterprise.

PURPOSE: Own the design, integrity, and performance of Hercules’ data ecosystem by establishing scalable architecture, governing data quality, and enabling accessible, reliable data that drives operational and strategic decision-making across the business.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.

DATA INTEGRITY, GOVERNANCE & STEWARDSHIP

· Establish and enforce data governance standards across ERP, data warehouse, and connected systems
· Ensure accuracy, consistency, and reliability of core datasets (item master, lead times, safety stock, supplier and customer data)
· Identify and remediate data quality issues through structured audits and data initiatives
· Define ownership, workflows, and controls for maintaining high-quality master data
· Implement monitoring systems to proactively detect and resolve data anomalies

Performance Expectations:
· Establish high trust in enterprise data
· Eliminate systemic data errors impacting operations
· Ensure consistent, governed data definitions

DATA ARCHITECTURE & SYSTEM INTEGRATION

· Design and maintain scalable data architecture connecting ERP (Infor M3), data warehouse, CRM, and external systems
· Build and manage data pipelines (ETL/ELT) to ensure timely and accurate data availability
· Enable seamless data flow across systems to support real-time and near-real-time decisions
· Standardize data models to support analytics and operational processes

Performance Expectations:
· Deliver reliable, scalable, and efficient data pipelines
· Reduce latency and manual intervention across systems
· Enable seamless system integration\

MRP & OPERATIONAL SYSTEM ENABLEMENT

· Ensure MRP and planning systems are supported by accurate and structured data
· Partner with supply chain and operations to optimize lead times, safety stock, and planning parameters
· Identify and resolve data issues driving inefficiencies in purchasing, production, and inventory
· Support the evolution of MRP into a proactive, optimized planning system

Performance Expectations:
· Improve effectiveness of MRP and planning systems
· Reduce operational inefficiencies caused by poor data
· Enable proactive planning capabilities

DATA ACCESSIBILITY & DECISION ENABLEMENT

· Build data models that make data accessible for analysts, data scientists, and business leaders
· Develop datasets that enable rapid analysis and insight generation
· Support dashboards, reporting tools, and self-service analytics capabilities
· Ensure key business metrics are consistently defined and trusted

Performance Expectations:
· Improve accessibility and usability of enterprise data
· Enable faster, more informed decision-making
· Establish consistency in key business metrics

CROSS-FUNCTIONAL COLLABORATION

· Partner with Data Science to provide clean, structured datasets for modeling
· Translate business requirements into data architecture solutions
· Work with supply chain, operations, and finance leaders to prioritize data needs
· Serve as a bridge between technical systems and business application

Performance Expectations:
· Build strong cross-functional relationships
· Align data solutions with business needs
· Influence adoption of data-driven practices

TRANSFORMATION & CONTINUOUS IMPROVEMENT

· Lead initiatives to modernize data infrastructure and capabilities
· Identify opportunities to automate manual processes and eliminate workarounds
· Drive transition toward a fully integrated, data-driven operating model
· Establish best practices for data engineering within the organization

Performance Expectations:
· Drive measurable improvements in efficiency and data reliability
· Reduce reliance on manual processes and spreadsheets
· Contribute to long-term digital transformation

KEY PERFORMANCE FOCUS AREAS

Performance in this role is measured through contribution to:
· Data accuracy, integrity, and reliability across systems
· System integration and data pipeline performance
· MRP and planning system effectiveness
· Accessibility and usability of data for decision-making
· Reduction of manual processes and data issues
· Business impact including inventory, service levels, and operational efficiency

WHAT SUCCESS LOOKS LIKE

· Measurable business impact across supply chain, operations, and commercial performance

· Data-driven decision-making becomes embedded in daily operations

· Strong adoption of models and insights across the organization

· Continuous pipeline of high-value analytical initiatives

· Recognized as a key contributor to enterprise transformation

QUALIFICATIONS, EDUCATION AND/OR EXPERIENCE: To perform this job successfully, an individual must be able to perform each of the below essential duties satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability preferred. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

· Bachelor’s degree preferred (Data Engineering, Computer Science, Information Systems, or related field)
· Experience with data architecture, data pipelines, and system integration
· Experience working with ERP systems, data warehouses, and analytics platforms
· Strong understanding of data governance, data quality, and master data management
· Experience supporting supply chain, operations, or business analytics environments preferred
· Proficiency in data tools, SQL, and data modeling concepts
· Strong analytical and problem-solving skills
· Ability to translate business needs into technical solutions
· Experience working cross-functionally in a fast-paced environment

Why Hercules

· Opportunity to make a material impact; your work will matter

· Work in a company that is actively transforming and investing in data and analytics

· Employee-owned (ESOP), aligning effort with long-term value creation

· Right-sized organization: large enough for complexity, small enough for visibility and impact

· A culture that values curiosity, problem-solving, and continuous improvement

LANGUAGE SKILLS: Ability to effectively communicate with customers and staff to make an accurate assessment of customer needs.

MATHEMATICAL SKILLS: Ability to perform basic mathematical calculations required to accurately complete assigned tasks.

COMPUTER SKILLS: Intermediate/Advanced computer skills, including Microsoft Office and ability to learn any additional software needed to perform job duties.

REASONING ABILITY: Ability to interpret a variety of instructions furnished in oral or written form. Ability to use sound judgment and problem-solving skills.

ATTENDANCE DEMANDS: The attendance demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Attendance is required Monday through Friday 8:00 A.M. to 5:00 P.M. or within normal business hours as established by the supervisor. Employee may be required to work overtime, and occasional Saturday’s and Sunday’s.

PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit; walk and stand; use hands, handle, or feel; and required to speak, read, and hear English. The employee frequently is required to reach with hands and arms. The employee is occasionally required to climb or balance; and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include the ability to adjust focus.

WORK ENVIRONMENT: The work environmental characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

· The noise level in the work environment is usually moderate but may be loud on occasion.

· This position may on occasion be exposed to extreme weather conditions that may affect a warehouse environment.

· This is a fast-paced environment.

DISCLAIMER: The preceding job description is designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

Hercules Industries is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as a qualified individual with disability, or other legally protected status.


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