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Senior Data Analyst Jobs in Springfield, OR (NOW HIRING)

Data Engineer

Eugene, OR · On-site

$100K/yr

The Data Engineer supports the Foundation's data, reporting, and analytics ecosystem by implementing scalable, high-quality data solutions under the direction of the Senior Data Engineers. This role ...

Data Engineer

Eugene, OR · On-site

$100K/yr

The Data Engineer supports the Foundation's data, reporting, and analytics ecosystem by implementing scalable, high-quality data solutions under the direction of the Senior Data Engineers. This role ...

Senior Accountant

Coburg, OR · On-site

$75 - $85/hr

Senior Accountant Recognized as the world's leader in luxury motorhome manufacturing, Marathon ... Analyze operating expenses and identify trends, variances, and anomalies * Review financial data ...

Senior Accountant

Eugene, OR · On-site

$36 - $45/hr

Description: Part-Time Senior Accountant Eugene, OR (Flexible Schedule Available) Hours ... This role is ideal for someone who enjoys accounting, financial analysis, and working with data and ...

Senior Accountant

Eugene, OR · On-site

$36 - $45/hr

Description Part-Time Senior Accountant Eugene, OR (Flexible Schedule Available) Hours ... This role is ideal for someone who enjoys accounting, financial analysis, and working with data and ...

Senior Accountant

Coburg, OR · On-site

$75 - $85/hr

Senior Accountant Full-time Regular Coburg, OR, US Salary Range: $75,000.00 To $85,000.00 Annually ... Analyze operating expenses and identify trends, variances, and anomalies * Review financial data ...

Senior Accountant

Eugene, OR · On-site

$36 - $45/hr

Part-Time Senior Accountant Eugene, OR (Flexible Schedule Available) Hours: Approximately 15-25 ... This role is ideal for someone who enjoys accounting, financial analysis, and working with data and ...

You will have opportunities to interact with senior consultants, academic and industry experts ... We prefer students who have completed at least one internship in business, economics, data analysis ...

Analyst

Eugene, OR · On-site

$112K/yr

You will have opportunities to interact with senior consultants, academic and industry experts ... We prefer students who have completed at least one internship in business, economics, data analysis ...

This role is accountable for proactively leading data, analytics, and AIdriven technology transformation initiatives and enabling measurable business outcomes across the enterprise. The Enterprise ...

Serves as a senior advisor and coordination lead with DLA Energy leadership, military stakeholders ... Analyzing complex operational problems and recommending data-driven solutions in support of mission ...

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Showing results 1-20

Senior Data Analyst information

See Springfield, OR salary details

$56.9K

$102.7K

$140.2K

How much do senior data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior data analyst in Springfield, OR is $102,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $112,300.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.
More about Senior Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Springfield, OR?

The most popular types of Data Analyst jobs in Springfield, OR are:

What job categories do people searching Senior Data Analyst jobs in Springfield, OR look for?

The top searched job categories for Senior Data Analyst jobs in Springfield, OR are:

What cities near Springfield, OR are hiring for Senior Data Analyst jobs?

Cities near Springfield, OR with the most Senior Data Analyst job openings:

Infographic showing various Senior Data Analyst job openings in Springfield, OR as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $102,707 per year, or $49.4 per hour.

$100K/yr

Full-time

Posted 23 days ago


Job description

Description

SUMMARY:

The Data Engineer supports the Foundation's data, reporting, and analytics ecosystem by implementing scalable, high-quality data solutions under the direction of the Senior Data Engineers. This role contributes to the development and maintenance of the Foundation's data warehouse, ETL/ELT pipelines, data models, and data quality frameworks to ensure trusted, timely data for fundraising, financial, and operational decisions. The Data Engineer plays a critical role in supporting enterprise reporting and business intelligence needs - including Power BI and Alteryx-based solutions - serving internal and external customers such as University Advancement and the Foundation's accounting team. Strong technical skills are essential, as is the ability to collaborate effectively with cross-functional teams, translate data findings into actionable insights, and uphold the quality and integrity of Foundation data.


BEHAVIORAL EXPECTATIONS:

  • Follows the principles of the Foundation's core values:
  1. Trust
  2. Respect
  3. Integrity
  4. Commitment
  • Motivated to value-add to the success of the Foundation
  • Effective communicator
  • Collaborative
  • Dependable
  • Detail-oriented
  • Adaptable, receptive to change
  • Teach through example and service
  • Practice professional curiosity and desire to learn
  • Excellent interpersonal skills and ability to work with a diverse constituency
  • Maintain confidentiality
  • Work safely  

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Data Engineering & Pipeline Development

  • Implement, maintain, and optimize scalable ETL/ELT pipelines and data warehouse structures - including tables, views, stored procedures, and functions - producing clean, version-controlled, replicable code; troubleshoot and resolve pipeline failures, data discrepancies, and performance bottlenecks 

Reporting & Analytics Support

  • Build and maintain reports, dashboards, datasets, views, and queries using Power BI and other enterprise reporting tools, delivering accurate and timely data insights to internal and external customers including the AAR team and the Foundation's accounting function
  • Utilize Alteryx for data preparation, transformation, and workflow automation; support and write structured code for additional enterprise reporting platforms including Microsoft SSRS, Salesforce, and related tools

Data Quality & Governance

  • Implement and maintain data quality checks, validation routines, and exception handling to ensure accuracy, completeness, and consistency of data across systems
  • Implement Foundation data security policies, compliance standards, and define data assets and models to populate data structures
  • Write, revise, and maintain program documentation, operational documentation, data models, and data flow documentation in accordance with Foundation standards

Database & Platform Management

  • Support relational database environments (Oracle, SQL Server, Postgres, Microsoft Fabric), including performance optimization, indexing, and access management
  • Execute system tests to ensure business continuity and successful code releases; unit test new or modified applications and participate in code reviews

Collaboration & Stakeholder Support

  • Collaborate closely with the Senior Data Engineers, receiving technical guidance and implementing solutions based on established designs; support the Senior Data Engineers' engagement with the Advancement Analytics & Reporting (AAR) team by implementing data warehouse structures, pipelines, and reporting datasets per AAR requirements; coordinate work through Jira
  • Support the Foundation's accounting function by building and maintaining Power BI and Alteryx-based reporting solutions, with particular focus on the Foundation's transition to NetSuite as its enterprise accounting platform
  • Collaborate with analytics, financial services, IT, university departments, and external partners to improve data models and increase data accessibility; contribute to project evaluations and improvement plans; engage actively in continuing education and staff meetings

OTHER DUTIES AND RESPONSIBILITIES:

  • Other duties as assigned

Requirements

COMPETENCIES AND EXPERIENCE:

  • Typically requires a bachelor's degree in Computer Science, Information Systems, or a related field, or 3 years of professional experience in data engineering or database development; equivalent combinations of education and experience will be considered
  • Experience with database application programming using Oracle, SQL Server, Microsoft Fabric, and/or Postgres
  • Considerable experience in SQL, schema design, and dimensional data modeling
  • Experience designing, building, and maintaining data processing systems and ETL/ELT pipelines
  • Experience with Salesforce required
  • Experience working with large data sets, including programmatic manipulation and transformation
  • Some experience with data lineage, data governance, and quality framework design
  • A meticulous commitment to the quality and integrity of data presented to the business
  • Strong communication skills; ability to communicate technical concepts to non-technical audiences
  • Strong analytical skills and ability to translate business needs into technical solutions
  • Demonstrated ability to manage data quality processes and performance tuning
  • Must be organized to effectively manage multiple projects and shifting priorities
  • Maintain confidentiality as required and appropriate
  • Customer service mindset

PREFERRED QUALIFICATIONS:

  • Experience with Power BI for reporting and dashboard development
  • Experience with Alteryx for data preparation and workflow automation
  • Experience with NetSuite or similar enterprise accounting/ERP systems
  • Experience using GitHub or similar tools for version control 
  • Experience with Evergreen (Salesforce with Advancement RM) or similar fundraising CRM managed packages
  • Understanding of fundraising, advancement, and accounting/finance data
  • Experience supporting analytics and reporting environments

PHYSICAL DEMANDS AND WORK ENVIRONMENT:

  • This job is conducted in an office work environment, sitting most of the time
  • This position's duties require use of a computer
  • Must be able to exert up to 20 lbs. of force occasionally
  • Some travel may be required