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Data Analyst Data Governance Jobs in Colorado (NOW HIRING)

Manager, Data Management

Lone Tree, CO · On-site

$110K - $135K/yr

The Schwab Data organization collectively focuses on data strategy, data analytics, data science, data governance, and data engineering, while simultaneously enhancing data impact and data safety for ...

The Schwab Data organization collectively focuses on data strategy, data analytics, data science, data governance, and data engineering, while simultaneously enhancing data impact and data safety for ...

Translate complex analytical findings into actionable insights that influence product strategy ... Establish and maintain standards for data governance, data lineage, access controls, and lifecycle ...

Translate complex analytical findings into actionable insights that influence product strategy ... Establish and maintain standards for data governance, data lineage, access controls, and lifecycle ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on.

... Data Analyst will help transform complex business needs into scalable analytical products and durable capabilities for T. Rowe Price's Individual Investors (II) business. II is a dynamic and rapidly ...

Data Analyst LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a detail-oriented and analytical Data Analyst ...

Data Analyst

Denver, CO · On-site

$65K - $85K/yr

Data Analyst Location: Onsite, Denver, CO Position Summary The Data Analyst supports the Client's Customer Service Improvement Project (CSIP) by collecting, analyzing, and reporting data that informs ...

Data Analyst

Aurora, CO · On-site

$80 - $100/hr

Data Analyst LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a detail-oriented and analytical Data Analyst ...

Maintain and enhance data governance practices within maintenance management systems. Compliance ... Proficiency in data analysis tools such as Python, R, SQL, or Excel. * Experience with maintenance ...

Showing results 21-40

Data Analyst Data Governance information

What is a data analyst data governance?

Data Analyst Data Governance professionals are specialists who focus on ensuring the quality, security, and compliance of data within an organization. They analyze data sets to identify issues, establish data management policies, and help ensure that data is accurate, accessible, and used ethically. These professionals often collaborate with IT, compliance, and business teams to implement data governance frameworks and standards. Their role is crucial for organizations that rely on data-driven decision-making and need to adhere to regulatory requirements. They help minimize risks associated with poor data management and improve the overall value of organizational data.

How does a data analyst data governance typically collaborate with other departments within an organization?

Data Analysts focused on Data Governance often work closely with IT, compliance, and business units to ensure data quality, consistency, and security. They facilitate communication between technical and non-technical teams, translating data governance policies into actionable processes. Regularly, they participate in cross-functional meetings to identify data issues, recommend improvements, and support data-driven decision-making. This collaborative environment helps ensure that data assets are managed responsibly and align with organizational goals.

What are the key skills and qualifications needed to thrive as a data analyst data governance, and why are they important?

To thrive as a Data Analyst Data Governance, you need expertise in data management, analysis, and a strong understanding of data governance frameworks, often supported by a degree in information systems or related fields. Familiarity with data visualization tools (like Tableau or Power BI), SQL, data quality management systems, and relevant certifications such as DAMA or CDMP is typical. Strong analytical thinking, attention to detail, and effective communication are vital soft skills in this role. These skills ensure that data is accurate, secure, and well-managed, supporting organizational compliance and informed decision-making.

What is the difference between Data Analyst Data Governance vs Data Analyst?

AspectData Analyst Data GovernanceData Analyst
Primary FocusData quality, compliance, policies, and governance frameworksData analysis, reporting, and insights generation
Skills & CertificationsData management, data governance tools, SQL, certifications like CDMPData analysis tools, Excel, SQL, visualization skills
Work EnvironmentCollaborates with data governance teams, compliance departmentsWorks across departments to analyze data and create reports
Industry UsageFinance, healthcare, large enterprises with data policiesBroadly used across industries for data insights

While Data Analyst Data Governance focuses on managing data quality and compliance, Data Analysts primarily analyze data to generate insights. Both roles require SQL and data skills, but Data Governance roles emphasize policies and data standards, often within regulated industries.

What are popular job titles related to Data Analyst Data Governance jobs in Colorado?

For Data Analyst Data Governance jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Data Analyst Data Governance jobs?

Cities in Colorado with the most Data Analyst Data Governance job openings:

Manager, Data Management

Charles Schwab Inc.

Lone Tree, CO • On-site

$110K - $135K/yr

Full-time

Posted 5 days ago


Job description

Your Opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).
Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as part of our ongoing commitment to democratize access to investing and financial planning.
Schwab Data is critical to the future of Schwab, as we seek to embrace and support new ways of using data (GenAI), embed additional insights and data-driven processes in our business, and respond to evolving needs and expectations in data governance. The Schwab Data organization collectively focuses on data strategy, data analytics, data science, data governance, and data engineering, while simultaneously enhancing data impact and data safety for our business and our clients. We will advance our impact in line with evolving data/analytics/AI technology and reinforce our ability to safely, responsibly, intentionally, and broadly utilize data, analytics, and AI.
Within Schwab Data, the Data Risk Enhancement team's purpose is to strengthen the firm's ability to proactively identify, prioritize, and mitigate data risk. The team focuses on making data risk visible and actionable by leveraging data lineage and related insights to illuminate how data flows across the firm, where risk concentrates, and where intervention will have the greatest impact. Acting as a first line of defense, the team partners closely with data, analytics, and AI professionals to ensure data risks are understood in context and addressed in a way that supports both safety and business outcomes.
In this role, you will support data risk initiatives by helping analyze data flows, document lineage, and surface risk insights that inform prioritization and remediation efforts. You will work collaboratively with business and technology partners to understand how data is used across processes, contribute to assessments of data risk exposure, and help translate findings into clear reporting and tracking. This role offers the opportunity to build hands on experience in data risk, data governance, and data lineage, while learning how these disciplines come together to strengthen Schwab's data risk posture.
What you have
Required Qualifications
  • Foundational experience supporting data risk, data quality, data governance, or data management activities, with an interest in understanding how data risk impacts business outcomes.
  • Working knowledge of data lineage and data flows, including how data is sourced, transformed, and consumed across systems and processes.
  • Strong analytical skills, with the ability to interpret data, identify risk indicators, and support prioritization of remediation efforts.
  • Ability to work collaboratively across business and technology teams to help document issues, track actions, and support delivery of data risk initiatives.
  • Clear written and verbal communication skills, with the ability to explain data concepts and findings to both technical and non-technical partners.
  • Experience supporting or contributing to data risk metrics, reporting, or dashboards, including monitoring trends and identifying potential issues.
  • Familiarity with data governance concepts, metadata, and data management practices; basic proficiency with SQL, data structures, or analytical tools is a plus.
  • Strong attention to detail, curiosity, and a willingness to learn in a fast-paced, highly matrixed environment.
  • Bachelor's degree in a data-related field (e.g., data management, analytics, information systems, computer science, finance, or similar), or equivalent practical experience.
  • 3+ years of hands-on experience in one or more of the following areas:
  • data analytics, data governance, data quality, data risk, data engineering, or reporting.
  • Experience supporting the delivery of reports, analyses, or insights related to data, risk, or operational performance.
  • Demonstrated ability to manage multiple tasks, meet deadlines, and contribute effectively within cross-functional teams.

Preferred Qualifications
  • Exposure to project delivery, agile ways of working, or change management, including tools such as Jira or similar work-tracking platforms.
  • Familiarity with financial services, risk management, or regulated environments.
  • Experience working in a matrixed organization with multiple stakeholders and competing priorities.
  • Strong problem-solving mindset, with a desire to grow technical and analytical skills over time.
  • Team-oriented, adaptable, and comfortable working through evolving requirements and objectives.

"In addition to the salary range, this role is also eligible for bonus or incentive opportunities."