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Portfolio Operations Specialist Remote information

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How much do portfolio operations specialist remote jobs pay per year?

As of Jun 17, 2026, the average yearly pay for portfolio operations specialist remote in the United States is $68,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $81,500.00 per year, depending on experience, location, and employer.

What is the difference between Portfolio Operations Specialist Remote vs Portfolio Analyst?

AspectPortfolio Operations Specialist RemotePortfolio Analyst
CredentialsTypically requires a bachelor's degree in finance, business, or related field; certifications like CFA are a plusSimilar educational background; CFA or related certifications may be preferred
Work EnvironmentRemote, collaborative with cross-functional teams, often in financial services or investment firmsRemote or on-site, focused on data analysis and reporting within investment or asset management firms
Employer & Industry UsageUsed in asset management, private equity, and investment firms to manage portfolio operationsCommon in investment firms, banks, and financial institutions for analyzing portfolio performance

The main difference is that Portfolio Operations Specialists focus on managing and optimizing portfolio processes and operations, while Portfolio Analysts primarily analyze portfolio data and performance. Both roles require similar credentials and often work in similar environments, but their core responsibilities differ in scope and focus.

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Portfolio Operations Specialist Remote jobs near you
Data Operations Specialist (Remote)

Data Operations Specialist (Remote)

The Geneva Foundation

Remote

Full-time

Posted 7 days ago

Job description

Job Summary:
The Geneva Foundation is seeking a Data Operations Specialist to support the integrity and accessibility of organizational data. This role involves coordinating with data owners, maintaining data pipelines, ensuring data quality, and enabling data-driven decision-making across the organization.
Responsibilities:
• Maintain, validate, and reconcile data across enterprise systems and platforms.
• Perform routine data audits, reconciliation, and integrity checks to ensure accuracy, completeness, and compliance.
• Develop and enforce data standards, naming conventions, and metadata practices in alignment with organizational policies.
• Support data documentation, version control, and audit readiness.
• Monitor and support data pipelines, integrations, and automated processes between platforms.
• Troubleshoot data issues, conduct root-cause analysis, and recommend corrective actions to minimize recurring errors.
• Document data processes, workflows, and system configuration to support scalability and cross-team knowledge transfer.
• Partner with operational teams to identify and improve inefficient or manual data workflows.
• Collaborate with Office of Strategy and Impact (OSI) to prepare clean, validated datasets for dashboards, KPIs, and operational reporting.
• Assist with the development of data models, ETL processes, and reporting logic required for organizational insights.
• Support data requests from internal teams, ensuring proper access, security, and compliance.
• Ensure data handling aligns with federal, sponsor, and internal compliance requirements (e.g., NIST 800-171, HIPAA, CUI, DoD data governance).
• Partner with cybersecurity and information governance colleagues to maintain secure data environments and role-based access controls.
• Work collaboratively across IGS, departmental, and analytics teams to maintain accurate, validated data and ensure that operational and technical requirements are effectively aligned and continue to provide value back to the end user.
• Provide user support and training on data tools, dashboards, and system best practices.
• Participate in organizational data governance working groups or committees as needed.
• Serve as a liaison between technical and non‑technical users to translate data issues and solutions.
Qualifications:
Required:
• Bachelor’s degree in Data Science, Information Systems, Computer Science, Business Analytics, or related field; or equivalent experience.
• 0-2 years of experience in data operations, data management, systems administration, or analytics support.
• Proficiency with data tools such as Excel (advanced), SQL, or equivalent.
• Experience working with enterprise systems.
• Strong understanding of data structures, relational databases, and ETL concepts.
• Excellent analytical, troubleshooting, and problem-solving skills.
Preferred:
• Experience in federal research, government contracting, grants management, or healthcare data environments.
• Familiarity with data governance frameworks and concepts (e.g., lineage, stewardship, quality rules).
• Exposure to cloud data environments (Azure, AWS, Snowflake, etc.).
• Basic scripting experience (Python, R, PowerShell, etc.).
• Data visualization tools (Power BI, Tableau).
• Understanding of compliance frameworks: HIPAA, CUI, FISMA, NIST standards.
Company:
The Geneva Foundation is a non-profit organization that supports medical research and in the U.S. military. Founded in 1993, the company is headquartered in Tacoma, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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