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Cdo Analyst Jobs (NOW HIRING)

Techpeople.US, Inc

CDO / CTO

Pittsburgh, PA · On-site

The ideal candidate is someone who worked as a CDO in multiple manufacturing domain and helped them ... Analytics scalability * AI readiness gaps * Articulate a clear value proposition around ...

NR Consulting

Technical Business Analyst

Ownership of Data Council and CDO Forum submissions, including active stakeholder management of ... Experience in business analysis within a data management capability * Demonstrable track record of ...

New

CDO Technologies Inc

Mechanical Engineer

Cincinnati, OH · On-site

Proficient in the use of Carrier HAP or Trane Trace HVAC load analysis programs; Carrier HAP ... CDO offers dental, vision, and a Flexible Spending Account for medical or childcare. Employees may ...

Apply Early

CDO Technologies Inc

Mechanical Engineer

Cincinnati, OH · On-site

Proficient in the use of Carrier HAP or Trane Trace HVAC load analysis programs; Carrier HAP ... CDO offers dental, vision, and a Flexible Spending Account for medical or childcare. Employees may ...

Apply Early

Cillium Corp.

data analyst

Fairfax, VA

... Chief Data Officer (CDO) business and function leads to review and assess the Data Quality (DQ ... analyst, financial modeler, statistician Good understanding of data management practices ...

cillium corp

data analyst

Fairfax, VA · On-site

... CDO) business and function leads to review and assess the Data Quality (DQ) Framework and implement continuous improvements and raise the Data Maturity level across the Group • Experience working ...

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All JobsCdo Analyst Jobs

Cdo Analyst information

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$35.5K

$99.2K

$127K

How much do cdo analyst jobs pay per year?

As of Jul 2, 2026, the average yearly pay for cdo analyst in the United States is $99,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $126,500.00 per year, depending on experience, location, and employer.

What is a CDO analyst?

A CDO analyst is a financial professional who evaluates and manages collateralized debt obligations (CDOs), which are complex structured financial products backed by pools of assets such as loans or bonds. They analyze risk, performance, and market conditions to support investment decisions, often using financial modeling and data analysis tools. Strong understanding of credit markets and relevant certifications like CFA can be beneficial.

What are the typical challenges faced by a CDO Analyst when working with large datasets and how can they be addressed?

CDO Analysts frequently encounter challenges such as ensuring data accuracy, maintaining data privacy, and integrating information from multiple sources. Working with large datasets can also strain computational resources, making efficient data processing and analysis critical. These challenges are addressed by leveraging advanced data management tools, strict data governance protocols, and close collaboration with IT and data engineering teams to streamline workflows. Proactively communicating with stakeholders and pursuing ongoing professional development in data management best practices can also help CDO Analysts stay ahead of emerging challenges.

What are CDO Analysts?

CDO Analysts, or Collateralized Debt Obligation Analysts, are financial professionals who specialize in evaluating, monitoring, and managing CDOs—complex financial instruments made up of pools of loans and other assets. They perform credit analysis, review cash flows, assess risks, and provide recommendations for investment or risk mitigation. Their work involves using quantitative models and financial data to ensure that CDO portfolios meet performance and regulatory standards.

What is the difference between Cdo Analyst vs Data Analyst?

AspectCdo AnalystData Analyst
Required CredentialsBachelor's in finance, economics, or related field; certifications like CFA or FRM beneficialBachelor's in statistics, mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentFinancial institutions, investment firms, or insurance companiesVarious industries including finance, healthcare, marketing, and technology
Employer & Industry UsageUsed primarily in finance and risk management sectorsWidely used across multiple industries for data analysis tasks

The Cdo Analyst focuses on collateralized debt obligations within financial sectors, analyzing risk and structuring deals. In contrast, Data Analysts work across industries to interpret data, generate reports, and support decision-making. While both roles require strong analytical skills, the Cdo Analyst emphasizes financial instruments and risk assessment, whereas Data Analysts focus on data interpretation and visualization.

What jobs pay 500,000 a year in the US?

High-paying roles such as Chief Data Officer (CDO) analysts, executive-level positions like CEOs, CFOs, and specialized professionals in finance, law, or technology can earn $500,000 or more annually. These roles typically require extensive experience, advanced skills, and often involve leadership responsibilities or specialized expertise in their fields.

What is a CDO salary?

A CDO analyst's salary typically ranges from $70,000 to $130,000 annually, depending on experience, location, and the size of the organization. Entry-level positions may start lower, while experienced analysts with certifications like CFA or CFA can earn higher compensation, often including bonuses and benefits.

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

To thrive as a CDO Analyst, you need strong analytical skills, attention to detail, and a solid understanding of structured finance products, often supported by a degree in finance, economics, or a related field. Proficiency with financial modeling tools, Excel, and industry-standard databases like Bloomberg or Intex is typically required. Excellent communication, problem-solving abilities, and teamwork make candidates stand out in this role. These skills are crucial for accurately analyzing collateralized debt obligations, managing risk, and ensuring sound investment decisions in complex financial markets.

What jobs make $1,000,000 a year?

In the context of a Chief Data Officer (CDO) Analyst, reaching a $1,000,000 annual salary typically involves executive-level roles such as Chief Data Officer, Chief Executive Officer, or other C-suite positions, often in large corporations or industries like finance, technology, or consulting. These roles usually require extensive experience, advanced skills in data strategy, leadership, and often involve performance-based bonuses and stock options. Most professionals in these roles have advanced degrees and a track record of significant organizational impact.
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What cities are hiring for Cdo Analyst jobs? Cities with the most Cdo Analyst job openings:
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Cdo Analyst jobs near you
Infographic showing various Cdo Analyst job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 5% Full Time, 51% Part Time, 3% Temporary, and 39% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $99,157 per year, or $47.7 per hour.
CDO / CTO

CDO / CTO

Techpeople.US, Inc

Pittsburgh, PA • On-site

Other

Posted 29 days ago

Job description

  • Location: REMOTE
  • # of Positions: 1
  • Eligibility: Open
  • Client Name / Domain: MFG.
  • Bill Rate: $?? per hour
  • Employment Mode: Contract / Corp-to-Corp
  • Contract Duration: 10+ mos. Contract
  • Experience: 20+ years
  • Skills: Snowflake, Databricks, Azure, AWS Synapse, AWS Fabric, Google BigQuery, Oracle Autonomous, AI Data Platform, Data Lakehouse, AI Enablement, Data Mesh

The Ask? Client is looking for a Chief Digital Officer  who can engage senior technology leaders (CIO, CEO, CTO) and help them modernize legacy data environments into modern AI-ready data platforms. This leader will drive enterprise transformation initiatives by articulating a compelling business and technology value proposition around modern data architectures, analytics, and AI platforms. The ideal candidate is a consultative enterprise seller who understands both business outcomes and modern data technology stacks, and can guide customers from legacy data warehouses toward modern lakehouse, cloud data, and AI platforms.

The ideal candidate is someone who worked as a CDO in multiple manufacturing domain and helped them in their DX Transformation journey. Someone who can be an advisor to a clients

Skills and Experience

  • 15-20+ years of progressive IT leadership experience, including enterprise architecture and digital transformation.
  • Proven track record of managing large-scale IT programs and workforce operations.
  • Strong expertise in enterprise platforms, application development, and modern IT ecosystems.
  • Demonstrated success in developing and executing digital transformation strategies.
  • Excellent leadership, stakeholder management, and communication skills.

Roles and Responsibilities:

  • Own and drive strategic enterprise sales for data modernization and AI platform initiatives.
  • Build relationships with C-level executives (CIO, CTO, CDO, VP Data, VP Analytics).
  • Develop multi-million-dollar transformation deals around data and AI platforms.
  • Value-Based Consulting
  • Engage customers to understand:
    • Legacy data warehouse challenges
    • Data silos
    • Analytics scalability
    • AI readiness gaps
    • Articulate a clear value proposition around modernization, cost optimization, agility, and AI enablement.
  • Data & AI Platform Modernization/Guide customers in transformation initiatives such as:
    • Legacy EDW modernization
    • Data lake / lakehouse adoption
    • Cloud data platform migration
    • AI/ML data foundation
    • Real-time analytics architectures
    • Data governance and data mesh
    • Create a multi-year modernization roadmap aligned to business outcomes.
  • Build business cases for:
    • Cloud migration
      • Data platform modernization
      • AI enablement
      • Coordinate with architecture, delivery, and partner teams.
    • Thought Leadership
      • Position the company as a trusted advisor in Data + AI transformation.
      • Conduct executive workshops, data strategy sessions, and architecture discussions.
      • Participate in industry events and advisory conversations with senior executives.

The candidate should understand modern enterprise data ecosystems including:

Modern Data Platforms

  • Snowflake
  • Databricks
  • Azure Synapse / Fabric
  • AWS Data Platform
  • Google BigQuery
  • Oracle Autonomous / AI Data Platform

Architecture Patterns

  • Data Lakehouse
  • Modern Data Warehouse
  • Data Mesh
  • Streaming Data
  • AI/ML data pipelines
  • Real-time analytics
  • AI Enablement
  • Data foundation for AI
  • Generative AI data pipelines
  • ML Operation
  • Enterprise AI governance

Why Join Us?

At TechPeople / AscendWorksNow, we move beyond standard implementations. We are building the future of autonomous enterprise operations. You will have the autonomy to design cutting-edge solutions for global clients and work alongside a team with decades of industry-leading expertise.

RESPONDENTS [ please read carefully ]

U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time. Any equivocation or misrepresentation will be reported to USCIS and BBB.

ABOUT US (Equal Opportunity Employer)

At TP USA we are proud to celebrate diversity of people for the benefit of our employees, our products, and the global community we all belong to. It is the policy of TP USA Inc., and its subsidiaries, to provide equal employment opportunities to all employees and applicants for employment. All employment practices such as recruitment, selection, promotions, and other terms and conditions of employment are administered in a manner designed to ensure that employees and applicants for employment or services are not subjected to discrimination on the basis of age, race, color, sex, sexual orientation, gender identity, national origin, ancestry, medical condition, disability, marital status, religious or political preferences or union affiliation.

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