1

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

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

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 ...

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 ...

Assurance Senior/ Manager

Eugene, OR · On-site

$70K - $110K/yr

Experienced Assurance Senior / ManagerEmployee Status: RegularSchedule: Full TimeLocation: Eugene ... data analysis techniquesCreative problem solving and research skillsExcellent written and verbal ...

Entegral Financial Analyst

Eugene, OR · On-site

$75K - $90K/yr

Prepare detailed reports and presentations on findings, analysis, and recommendations for stakeholders and senior management. * Collaborate with product and engineering teams to optimize data ...

Senior Payroll Analyst

Eugene, OR

$29.75 - $40.50/hr

As a recognized leader in AI and machine learning, our team leverages data and patented technology ... As Global Payroll Analyst, you will be responsible for delivering that outcome: administering ...

Analyze claims and cost savings data to drive insights for reporting and product improvement ... for senior leadership and stakeholders * Work cross-functionally with commercial, analytics ...

Sr. Accountant

Eugene, OR · Remote

$40 - $50/hr

Use advanced Excel capabilities to analyze financial data, track issues, and improve visibility in ... Proven experience in a senior-level accounting role with responsibility for month-end close and ...

Fleet Purchasing Specialist, Senior

OR · On-site

$60K - $77K/yr

As the Senior Fleet Services Purchasing Specialist, you will oversee the parts, supplies, tools and ... The ability to analyze operational data, identify trends and prepare clear reports and ...

Clinical Risk Manager Sr

Springfield, OR · On-site

$105K - $158K/yr

Job Summary The Senior Clinical Risk Manager leads the investigation and management of complex ... analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.

next page

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 Aug 13, 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 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.

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.

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.

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.
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 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $102,707 per year, or $49.4 per hour.

VP Operations Data & Insights

PenFed Credit Union

Eugene, OR • On-site

Full-time

Re-posted 26 days ago


PenFed Credit Union rating

7.6

Company rating: 7.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz


Job description

Overview

PenFed is hiring a (Hybrid) VP Operations Data & Insights at our San Antonio, Texas; Eugene, Oregon; Omaha, Nebraska; Papillion, Nebraska or Tysons, Virginia location.  The primary purpose of this job is to lead and transform Operations Data Delivery functions and to ensure value creation across the division through advanced analytics, machine learning (ML), and artificial intelligence (AI). This position will also be responsible for delivering advanced data analytics capabilities and AI/ML solutions to senior Operations leadership and ultimately to our members. The VP of Operations Data & Insights will work with his/her peers to ensure Enterprise Data governance, Data quality, error-free deployment of IT capabilities.  This individual will serve as a thought leader in applied analytics, guiding senior Operations leaders in developing high-value AI/ML use cases.  This role will also oversee our Voice of the Member (VoM) program, that aggregates member interaction, surveys, and other datapoints to drive predictive analytics and business process optimization in our member-facing channels.


Responsibilities

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is not intended to be an all-inclusive list of job duties and the position will perform other duties as assigned.

  • Act as a crucial change agent in the divisional strategy to leverage internal and external data assets to fuel data applications and Cognitive/AI/ML driven advanced analytics.
  • Create and drive the data architecture and roadmap, assess and optimize the Operations data infrastructure, and maintain an overarching data/tools ecosystem to support advanced analytics, and interoperability internally and externally.
  • Serve as a change agent in PenFed’s continued transformation towards a data-driven enterprise.
  • As a trusted advisor to senior Operations leadership, this individual will lead the development of the data strategy, roadmap, and execution, transforming provider, member, partner engagement through data, and the enablement of advanced analytics.
  • Oversee and optimize both data and analytic platforms that deliver value added solutions to PenFed members and business units.
  • Act as strong cross-functional leader to liaise with other executives and work collaboratively with different business verticals to orchestrate a federated approach to data and analytic platforms.
  • Create and establish a strategy and vision that shapes and drives data and supports analytics to enable PenFed to be a Data driven organization serving member needs.
  • Partner with leaders and stakeholders to introduce automation, artificial intelligence, and predictive learning initiatives
  • Support the data governance program, ensuring that data standards, data quality, and metadata management conforms to established corporate standards
  • Strive to both reduce the cost of managing data, and, increase the value of the data.

  • Work closely with each business unit to identify solutions that align with the enterprise strategy, leveraging enterprise solutions, and when needed provide specific solutions that are unique for that business.

  • Lead, manage, and partner with cross functional teams to continually improve data governance, data quality, and data security in a multi-tenant environment; standardize data.

  • Serve as an advisor and consultant to business leaders across the enterprise, assisting leaders with understanding how they can best leverage their data to drive business outcomes

  • Promote and lead a culture of operational excellence and continuous improvement for the daily support of data and analytics platforms and constantly evolve and transform.

  • Develop, coach, and lead a high performing team, and manage a diverse team of professionals that focuses on maximizing performance, business impact and results, as well.

  • Oversee the Voice of the Member (VoM) program—which aggregates member interaction, survey, and additional datapoints to better understand member behavior, root cause analysis on gaps & opportunities, and drives business process optimization.

  • Collaborate with industry experts to understand emergent approaches to data management and platform development in the support of digital platforms, analytic platforms.

  • Helps safeguard PenFed’s computer and IT systems by monitoring staff adherence of all security policies and related training for individuals managed by this role. Take appropriate action working with IT Security and HR when necessary to address any security breaches.

*This role is responsible for ensuring business continuity.*


Qualifications

Equivalent combination of education and experience is considered.

  • Bachelor’s Degree in Computer Science, Information Technology, or MIS.
  • Minimum of twelve (12) – fifteen (15) years or more of in data and/or applications management, including creating partnerships to drive data governance and quality, with five (5) years in a Director role or equivalent (i.e., leading a team, managing budgets, meeting deadlines, developing policies and guidelines, staff performance management)
  • Minimum of ten (10) years of broadly based, progressive information management and data strategy experience, preferably within Financial Services
  • Demonstrated experience building and leading enterprise data and analytics platforms, aligning stakeholders, and securing leadership support for strategic priorities.
  • Proven leadership and management skills, with the ability to set and execute a clear vision for an enterprise data delivery function.
  • Experience with modern, cloud-based platforms focused on security, privacy, and scalability, including leading modernization from legacy on-premises tools to cloud-enabled capabilities.
  • Experience with systems development, data visualization tools such as Tableau, and advanced analytics ecosystems.
  • Experience working with third-party delivery models, including offshore and nearshore teams.
  • Ability to effectively manage resources, priorities, and projects while balancing strategic priorities with day-to-day operational execution.
  • Hands-on knowledge of data management, analytics platforms, information management, quantitative methods, and IT security and infrastructure trends.
  • Strong influencing skills, with the ability to help senior leaders identify data-driven opportunities and use data to solve business challenges and drive outcomes.
  • Proven thought leadership in developing innovative tools, methodologies, and solutions, including cloud, big data, machine learning, and artificial intelligence.
  • Strong change management experience in complex organizations, with the interpersonal skills needed to drive alignment and adoption.
  • Exceptional analytical, written, verbal, presentation, and executive-level communication skills across multiple channels.
  • Experience using automation or A.I. tools preferred.

Supervisory Responsibility

  • This position will directly supervise employees
  • This position will also have matrix management supervisory responsibilities.
  • This position may manage contractual performance of 3rd party resources.

Licenses and Certifications

There are no additional certifications required.
 

Work Environment

While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise.

*Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.*

Travel

Ability to travel to various worksites and be on-call may be required.

Pay Transparency 
The anticipated starting salary range for this role is $152,200.00 - $345,242.00
This position is eligible for an organizational performance based annual bonus, subject to board discretion and approval.
This position is eligible for an individual performance based annual bonus.

#LI-Hybrid

Qualifications:

Equivalent combination of education and experience is considered.

  • Bachelor’s Degree in Computer Science, Information Technology, or MIS.
  • Minimum of twelve (12) – fifteen (15) years or more of in data and/or applications management, including creating partnerships to drive data governance and quality, with five (5) years in a Director role or equivalent (i.e., leading a team, managing budgets, meeting deadlines, developing policies and guidelines, staff performance management)
  • Minimum of ten (10) years of broadly based, progressive information management and data strategy experience, preferably within Financial Services
  • Demonstrated experience building and leading enterprise data and analytics platforms, aligning stakeholders, and securing leadership support for strategic priorities.
  • Proven leadership and management skills, with the ability to set and execute a clear vision for an enterprise data delivery function.
  • Experience with modern, cloud-based platforms focused on security, privacy, and scalability, including leading modernization from legacy on-premises tools to cloud-enabled capabilities.
  • Experience with systems development, data visualization tools such as Tableau, and advanced analytics ecosystems.
  • Experience working with third-party delivery models, including offshore and nearshore teams.
  • Ability to effectively manage resources, priorities, and projects while balancing strategic priorities with day-to-day operational execution.
  • Hands-on knowledge of data management, analytics platforms, information management, quantitative methods, and IT security and infrastructure trends.
  • Strong influencing skills, with the ability to help senior leaders identify data-driven opportunities and use data to solve business challenges and drive outcomes.
  • Proven thought leadership in developing innovative tools, methodologies, and solutions, including cloud, big data, machine learning, and artificial intelligence.
  • Strong change management experience in complex organizations, with the interpersonal skills needed to drive alignment and adoption.
  • Exceptional analytical, written, verbal, presentation, and executive-level communication skills across multiple channels.
  • Experience using automation or A.I. tools preferred.

Supervisory Responsibility

  • This position will directly supervise employees
  • This position will also have matrix management supervisory responsibilities.
  • This position may manage contractual performance of 3rd party resources.

Licenses and Certifications

There are no additional certifications required.
 

Work Environment

While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise.

*Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.*

Travel

Ability to travel to various worksites and be on-call may be required.

Pay Transparency 
The anticipated starting salary range for this role is $152,200.00 - $345,242.00
This position is eligible for an organizational performance based annual bonus, subject to board discretion and approval.
This position is eligible for an individual performance based annual bonus.

#LI-Hybrid

Education:UNAVAILABLEEmployment Type: FULL_TIME

What PenFed Credit Union employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom