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Power Bi Data Analyst Jobs in Remote, OR (NOW HIRING)

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Work with Power BI and Databricks AI/BI capabilities to help translate business requirements into dashboards, semantic models, self-service analytics, and other data products. * Use approved AI ...

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Work with Power BI and Databricks AI/BI capabilities to help translate business requirements into dashboards, semantic models, self-service analytics, and other data products. * Use approved AI ...

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Set up and maintain Power BI database and reports. * Manage a reinsurer profile database of over 1 ... Strong analytical, organizational, and problem-solving skills. * Experience using Microsoft Office ...

Sr. Financial Analyst

OR Β· Remote

$80K - $110K/yr

... Power Query and data visualization tools such as Tableau or Power BI; excellent Excel, Word, and PowerPoint skills required Proven ability of implementing automation or process optimization ...

Sr. Financial Analyst

OR Β· On-site +1

$80K - $110K/yr

... Power Query and data visualization tools such as Tableau or Power BI; excellent Excel, Word, and PowerPoint skills required β€’ Proven ability of implementing automation or process optimization ...

Sr Software Engineer

OR Β· Remote

$84K - $112K/yr

... Automate, Power BI, and Copilot Studio, and assists users to integrate those solutions with ... Excellent problem-solving and analytical skills with ability to work independently and as part of a ...

... analyst bottlenecks * Proactively surface insights about donor behavior, nonprofit partner ... Proficiency with a BI/visualization layer tool such as Looker, Metabase, Mode, or Tableau

... analyst, data engineer, or BI developer role * 5+ years writing SQL * Experience with Python is a plus * 2+ years working with cloud data warehouses (Snowflake, BigQuery, or Redshift) * 2+ years ...

Senior Lead Architect

OR Β· Remote

$132K - $176K/yr

Strong data extraction and analytic skills using tools like SQL and Power BI Preferred Qualifications: * Knowledge in the following areas: Quantum Encryption, HCF/MCF, APIs * Participation in at ...

Analyze, trend, and act on the sampling program to improve conversion and customer engagement ... Experience with Salesforce, SAP, and Power BI * Familiarity with lead generation platforms

Analyze, trend, and act on the sampling program to improve conversion and customer engagement ... Experience with Salesforce, SAP, and Power BI * Familiarity with lead generation platforms

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Senior GE Meridium APM Consultant

OR Β· Remote

$95 - $150/hr

Data & Systems Integration * Client Consulting * Requirements Analysis * Solution Design * Technical Troubleshooting * Power Generation / Energy Company Description

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Product Manager

OR Β· On-site +1

Conduct customer interviews, market research, and data analysis to inform decisions. * Define ... AI-powered communications and complex network solutions. Leverage AI to Build Better Products

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Power Bi Data Analyst information

See Remote, OR salary details

$34K

$82.6K

$135.9K

How much do power bi data analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for power bi data analyst in Remote, OR is $82,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Power BI data analyst?

To thrive as a Power BI Data Analyst, you need strong analytical skills, experience with data modeling and visualization, and a solid foundation in statistics or business intelligence principles, typically supported by a relevant degree. Proficiency in Power BI, DAX, Excel, and often SQL or other database tools is essential, while certifications such as Microsoft Certified: Data Analyst Associate can be advantageous. Excellent communication, problem-solving abilities, and teamwork help analysts translate complex data findings into actionable business insights. These skills are crucial for effectively transforming raw data into meaningful, data-driven decisions that support organizational goals.

What are some typical projects or tasks a Power BI data analyst might work on?

Power BI Data Analysts commonly work on projects such as designing interactive dashboards, generating recurring business reports, and analyzing large datasets to identify trends and opportunities. They frequently collaborate with stakeholders from marketing, finance, or operations to gather requirements and tailor visualizations to specific business needs. In addition to developing and maintaining Power BI reports, analysts may also perform data cleaning, validate data accuracy, and provide training or support to end-users. This variety of tasks helps keep the role engaging while allowing analysts to make a significant impact on business strategies and operations.

Do I need coding for Power Bi Data Analyst?

Power BI Data Analysts typically do not need extensive coding skills, but knowledge of DAX (Data Analysis Expressions) formulas and some scripting can enhance their ability to create complex calculations and automate tasks. Basic understanding of data querying languages like SQL is also beneficial for data extraction and transformation. Overall, while coding is not mandatory, it can improve efficiency and the depth of analysis performed with Power BI.

Is Power Bi Data Analyst a good career?

A Power BI Data Analyst is a valuable role focused on data visualization, reporting, and business intelligence using tools like Power BI. It offers opportunities for career growth, requires skills in data analysis, and often involves working with SQL, Excel, and data modeling. The demand for such analysts is strong across various industries, making it a viable career choice.

Is Power Bi data analyst in demand?

Power BI Data Analysts are in high demand due to the increasing reliance on data visualization and business intelligence tools across industries. Employers seek professionals skilled in data analysis, reporting, and tools like Power BI, often requiring knowledge of SQL and data modeling. The role offers strong job growth prospects and competitive salaries in the analytics field.

What are the most commonly searched types of Power Bi Data Analyst jobs in Remote, OR?

The most popular types of Power Bi Data Analyst jobs in Remote, OR are:

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For Power Bi Data Analyst jobs in Remote, OR, the most frequently searched job titles are:

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What cities near Remote, OR are hiring for Power Bi Data Analyst jobs?

Cities near Remote, OR with the most Power Bi Data Analyst job openings:

Infographic showing various Power Bi Data Analyst job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $82,559 per year, or $39.7 per hour.

Finance Data & Analytics Business Analyst

OR β€’ Remote

Sara Software Systems
IT ServicesΒ β€’Β 11 - 50 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

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Job description

Position Summary 

We are seeking an experienced Finance Data & Analytics Business Analyst to support a strategic Finance data integration and analytics initiative. This individual will serve as a key liaison between Finance business stakeholders and the Data & Analytics technical team, helping translate complex Finance processes, reporting requirements, business rules, and source-system data into well-defined, governed data products. 

This role goes beyond traditional requirements gathering. The successful candidate will work closely with Finance SMEs, Data Architects, Data Engineers, and BI developers to understand how financial data is created and used across multiple source systems; define source-to-target mappings and business rules; support data validation and reconciliation; and ensure the resulting data products accurately represent Finance requirements. 

The role requires a strong combination of Finance domain knowledge, data analysis, business analysis, and technical understanding. 

Key Responsibilities 

  • Partner closely with Finance SMEs and the internal Business Analyst to discover, document, and prioritize business requirements for Finance data and analytics products. 
  • Facilitate requirements and data-discovery sessions with Accounts Receivable, Credit, Finance Operations, and other Finance stakeholders. 
  • Translate business requirements into clear functional requirements, data requirements, business rules, acceptance criteria, and technical specifications. 
  • Analyze existing Finance reports, spreadsheets, dashboards, calculations, and manual processes to understand current-state logic and identify opportunities for standardization and automation. 
  • Work with Finance SMEs to define and document key financial metrics, calculations, dimensions, hierarchies, and reporting definitions. 
  • Develop and maintain source-to-target mappings, including source tables/columns, target data objects, transformation rules, data types, business definitions, and reconciliation requirements. 
  • Partner with Data Architects and Data Engineers to define target data models and ensure technical implementations accurately represent Finance business requirements. 
  • Perform data analysis and profiling across source systems to identify data-quality issues, inconsistencies, gaps, duplicate records, and mapping challenges. 
  • Play a key role in financial data validation and reconciliation, working with Finance and Engineering teams to ensure data in the target platform reconciles with source systems and approved Finance reports. 
  • Define data-quality rules and expected validation controls for critical Finance data elements. 
  • Document data lineage and business definitions to improve traceability, governance, and auditability. 
  • Support functional testing, system integration testing, and UAT by developing test scenarios, expected results, reconciliation criteria, and defect documentation. 
  • Coordinate with Finance SMEs to obtain business validation and formal sign-off on data products, reports, dashboards, and KPIs. 
  • Work with Power BI and Databricks AI/BI capabilities to help translate business requirements into dashboards, semantic models, self-service analytics, and other data products. 
  • Use approved AI productivity tools, such as Microsoft Copilot, to accelerate requirements documentation, data mapping, test-case development, meeting summaries, and other project artifacts while maintaining appropriate review and governance. 

Required Qualifications 

  • 5+ years of Business Analysis, Data Analysis, or Finance Analytics experience, preferably supporting enterprise data integration, data warehouse, lakehouse, or BI initiatives. 
  • Demonstrated experience working with Finance data, preferably Accounts Receivable, Credit, Collections, Customer Master, cash application, or related financial processes. 
  • Strong experience translating Finance business requirements into data requirements and source-to-target mappings. 
  • Experience analyzing data across multiple ERP or financial systems and reconciling information between source systems and reporting platforms. 
  • Strong understanding of data concepts including dimensions, measures, hierarchies, business rules, data quality, lineage, and reconciliation. 
  • Experience working with enterprise ERP platforms such as Oracle E-Business Suite Financials, SAP, or similar financial systems; Oracle EBS experience strongly preferred. 
  • Experience with reporting and analytics platforms such as Power BI, Databricks AI/BI Dashboards, Tableau, or similar tools. 
  • Strong SQL skills with the ability to independently query and analyze data for requirements validation, profiling, reconciliation, and testing. 
  • Experience supporting functional testing and UAT for data and analytics solutions. 
  • Excellent communication skills with the ability to work effectively with both Finance executives/SMEs and highly technical engineering teams. 
  • Strong documentation skills and attention to detail, particularly when documenting financial calculations, mappings, business rules, and reconciliation logic. 

Preferred Qualifications 

  • Experience with Accounts Receivable data, including aging, invoices, payments, credit limits, customer exposure, unapplied cash, collections, and related KPIs. 
  • Experience with Oracle EBS AR and customer-related data structures. 
  • Experience supporting cloud data platforms or lakehouse implementations, preferably Databricks. 
  • Familiarity with medallion/layered data architectures and enterprise data modeling. 
  • Experience establishing data dictionaries, business glossaries, mapping documents, and data-quality rules. 
  • Familiarity with AI-assisted development/productivity tools such as Microsoft Copilot. 
  • Experience working in Agile data and analytics delivery environments. 

Company Description

Sara Software Systems, LLC founded in July 2004 is a small, woman, minority owned and economically disadvantaged 8(a) business as approved by the Small Business Administration (SBA). Owned and managed by experienced IT professionals, we bring a realistic and knowledgeable approach with 15 years of technical excellence to solve complex federal and commercial IT challenges, transform how organizations operate, and protect our Customer's critical infrastructure.
Sara Software Systems, LLC is a process-driven and quality-focused company and we are appraised at Maturity Level (ML) 3 by the CMMI Institute for both DEV + SVC. Our CMMI DEV ML3 appraisal was specifically focused on Agile and DevSecOps. We are International Standards of Organization (ISO) 9001:2015, ISO 20000-1:2011 and ISO 27001:2013-certified.

Sara Software Systems, LLC is a leading technology Services provider with focus in Application Development and Modernization, Agile Transformations, Program Management , Information Technology , Software development, Cybersecurity, IT infrastructure, Business Process Reengineering and Service Desk services for Federal Agencies and commercial organizations. We serve the business needs of our customers by providing strategy, program management, architecture, and sustainment of information technology solutions both in traditional waterfall and agile methodologies that transform ideas to value.