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Virtual Financial Data Analyst Jobs in Portland, OR

By ensuring that Legacy Health has the necessary financial data and analytics to achieve goals and make sound financial practices. This goes beyond having good financial acumen; the financial analyst ...

Financial Analyst

Lake Oswego, OR · On-site

$78K - $107K/yr

Partner collaboratively with Global Support, Renewals, and Customer Success leaders to deliver data ... FP&A or corporate finance experience. * Strong foundational modeling skills in Excel and Google ...

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Virtual Financial Data Analyst information

See Portland, OR salary details

$37.1K

$90.6K

$150.6K

How much do virtual financial data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for virtual financial data analyst in Portland, OR is $90,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $106,600.00 per year, depending on experience, location, and employer.

What is the difference between Virtual Financial Data Analyst vs Virtual Financial Analyst?

AspectVirtual Financial Data AnalystVirtual Financial Analyst
CredentialsTypically requires a degree in finance, accounting, or data analysis; certifications like CFA or CPA are commonUsually holds a degree in finance or related field; certifications like CFA are advantageous but not mandatory
Work EnvironmentFocuses on analyzing financial data, creating reports, and data modeling remotelyInvolves financial planning, investment analysis, and advising, often with data analysis components remotely
Employer & Industry UsageUsed by finance firms, investment companies, and corporations for data-driven decision makingEmployed by banks, investment firms, and corporate finance departments for financial strategy and analysis

While both roles involve finance and data skills, the Virtual Financial Data Analyst primarily focuses on analyzing and interpreting financial data, whereas the Virtual Financial Analyst often combines data analysis with financial planning and advising. The roles overlap in skills and work environment but differ in core responsibilities.

What are the most commonly searched types of Financial Data Analyst jobs in Portland, OR? The most popular types of Financial Data Analyst jobs in Portland, OR are:
What are popular job titles related to Virtual Financial Data Analyst jobs in Portland, OR? For Virtual Financial Data Analyst jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Virtual Financial Data Analyst jobs in Portland, OR look for? The top searched job categories for Virtual Financial Data Analyst jobs in Portland, OR are:
What cities near Portland, OR are hiring for Virtual Financial Data Analyst jobs? Cities near Portland, OR with the most Virtual Financial Data Analyst job openings:
Infographic showing various Virtual Financial Data Analyst job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $90,630 per year, or $43.6 per hour.

Contractor

Re-posted 8 days ago


Job description


Responsibilities include:
1. Interpreting data, analyzing results using SQL, Excel, and basic statistical techniques
2. Performing data analyses, analyzing data collection systems and other methods that optimize efficiency and data quality
3. Acquiring data from primary or secondary data sources and maintaining databases
4. Collecting, organizing, and interpreting database metadata (i.e., data structures, data relationships, data element descriptions), and capturing this in our Enterprise Data Catalog.
5. Modelling data, including master data, reference data, and transactional data objects, attributes, and relationships
6. Assessing gaps and conflicts between data definitions across multiple software assets.
7. Creating database schemas from data models.
8. Writing SQL to analyze data and data structures in databases
9. Assessing data quality in assigned data domains.
10. Providing guidance on master data and reference data governance.
11. Assisting with curating the Enterprise Data Catalog to scan new databases, data pipelines, data object definitions, PowerBI reports, and related metadata.
Required Experience & Skills:
1. Strong communication skills including interviewing subject matter experts (business and technical) to capture requirements, and effective writing skills to convey technical options and recommendations, and to produce required documentation such as functional design specifications.
2. At least 5 years of experience working with data modeling tools such as Visio, ERWin, or equivalent.
3. SQL Server Management Studio (SSMS) to analyze data content, data structures, and stored procedures.
4. Data warehouse design including normalized structures for Operational Data Stores, and star schema structures for data marts.
5. On premise and Azure cloud databases including SQL Server and Synapse
Preferred Experience
1. Utility industry knowledge, especially gas utilities
2. Knowledge of typical data patterns for shared services domains such as Finance, Human Resources, and IT
3. Informatica data management tools (eg, Enterprise Data Catalog) including data profiling and data lineage analysis
4. Knowledge of CMDB data models
5. Data Governance principles and methods
6. Reference data management, especially using Informatica Reference360