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

Roseburg

SIOP Analyst II

Springfield, OR

Data Analysis to Support Strategic and Tactical Planning * Assimilate data from multiple sources to create models for long-range strategic and short-term operating plans including the optimization of ...

Lane County Government

Financial Analyst, Senior

Eugene, OR · On-site

$85K - $107K/yr

You'll be comfortable navigating complex financial data, partnering with internal and external ... Financial Analyst - Senior Selection Process Equal Employment Opportunity Lane County is an Equal ...

Pacific Recycling Inc

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 ...

Pacific Recycling Inc

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 ...

Pacific Recycling Inc

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 ...

Isler CPA

Assurance Senior/ Manager

Eugene, OR · On-site

$70K - $110K/yr

Experienced Assurance Senior / Manager Employee Status: Regular Schedule: Full Time Location ... Comprehensive understanding of data analysis techniques * Creative problem solving and research ...

Cramer Fish Sciences

Senior Biologist

Eugene, OR · On-site

$80K - $100K/yr

Cramer Fish Sciences (CFS) is seeking a Senior Biologist to join our Portland Oregon team. This ... Manage and analyze field and remote sensing data using GIS, R and other statistical packages.

Cramer Fish Sciences

Senior Biologist

Eugene, OR · On-site

$80K - $100K/yr

Cramer Fish Sciences (CFS) is seeking a Senior Biologist to join our Portland Oregon team. This ... Manage and analyze field and remote sensing data using GIS, R and other statistical packages.

Cramer Fish Sciences

Senior Biologist

Eugene, OR · On-site +1

$80K - $100K/yr

Cramer Fish Sciences (CFS) is seeking a Senior Biologist to join our Portland Oregon team. This ... Manage and analyze field and remote sensing data using GIS, R and other statistical packages.

Airspace

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 ...

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All JobsData Analyst JobsSenior Data Analyst JobsSenior Data Analyst Jobs in Springfield, OR

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 Jul 21, 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 are Senior Data Analysts?

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 40 too late for data science?

For a senior data analyst role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on relevant skills such as programming, statistical knowledge, and experience with tools like Python or SQL, regardless of age. Continuous learning and certifications can also enhance prospects in the field.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets to support business decisions, often requiring proficiency in tools like SQL, Python, or R. It offers competitive salaries, opportunities for advancement, and the chance to work in various industries such as finance, healthcare, or technology.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but senior data analysts play a crucial role in interpreting complex data, developing insights, and making strategic decisions. Their expertise in understanding context, storytelling with data, and applying domain knowledge remains essential despite advancements in automation and machine learning. Therefore, AI is more likely to augment rather than fully replace senior data analysts.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $120,000 to $150,000 annually, depending on factors such as location, industry, experience, and company size. In some cases, with advanced skills in SQL, Python, or data visualization tools, and certifications, top earners may exceed this range.
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:
Senior Data Analyst jobs near you
Infographic showing various Senior Data Analyst job openings in Springfield, OR as of July 2026, with employment types broken down into 86% Full Time, 3% Temporary, and 11% Contract. Highlights an 75% In-person, 10% Hybrid, and 15% Remote job distribution, with an average salary of $102,707 per year, or $49.4 per hour.
SIOP Analyst II

SIOP Analyst II

Roseburg Forest Products

Springfield, OR • On-site

Full-time

Re-posted 10 days ago

Roseburg Forest Products rating

7.7

Company rating: 7.7 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

Job description

Description
Purpose
Support the Sales, Inventory, & Operations Planning (SIOP) Team in extracting and analyzing business data to guide and support decisions and initiatives within the business. This includes developing and implementing processes, systems and tools to improve business operations in a data driven way. Provide a shared service to all business units to understand, assess, and track key business trends and leverage best practices in BI/Data Analytics to advance strategic thinking across the organization. Support the various sales teams with accurate mill scheduling, planning, and inventory management for the various mills and reload facilities.
Key Responsibilities
  • Data Analysis to Support Strategic and Tactical Planning
    • Assimilate data from multiple sources to create models for long-range strategic and short-term operating plans including the optimization of raw materials, inventories, finished good sales, and production planning
    • Develop and utilize processes, systems, and tools to perform sensitivity analysis on a range of scenarios with associated constraints and recommend optimal decisions
    • Develop concise input information to support capital and sales & operation planning
    • Coordinate with Sales and Finance to develop quarterly sales and pricing forecasts
    • Coordinate with Sales, Logistics, Operations, and Finance during the annual planning process to develop sales, shipment, inventory & transportation plans
    • Develop analyses for special projects as required by the Supply Chain & Logistics Leadership
    • Present Strategic Plan models and short-term operating plans to leadership, as requested to advance the decision-making processes
    • Act as a mentor to newer team members, training on new software and analysis tools, and creating and imparting best practices
  • Business Process Improvement
    • Lead efforts to evaluate and optimize business processes to reduce product supply costs, transportation, and transfers
    • Develop and manage processes to improve business operations as defined by Supply Chain & Logistics leadership
    • Support Supply Chain optimization efforts, including leading and implementing process improvement initiatives
  • Inventory Management
    • Work to improve order intact processes to maximize mill efficiencies
    • Actively manage company owned inventory at all locations to minimize inventory requirements and maximize stock turns
    • Monitor aged inventory and work with sales and mill operations to minimize/move this inventory
    • Document and propagate best practices for inventory management within the company
  • Model Company core values

Required Qualifications
  • Four-year college degree in business, supply chain, engineering, finance, economics or related field and 2-5 years of relevant experience
  • Strong analytical and problem-solving skills
  • Expertise in MS Office suite
  • Significant experience using business analytics software to model and analyze business data and trends
  • Experience leading cross functional meetings and presenting data to upper management
  • Experience supporting several functional organizations; knowledge and understanding of key metrics driving a sales environment
  • Positive demeanor and the ability to lead and/or function within a team and work well with others at all levels of the organization
  • Experience in business with a manufacturing component
  • Ability to prioritize tasks in a changing, fast-paced environment
  • Strong self-motivation and organizational skills
  • Excellent verbal, listening and written communication skills
  • Excellent interpersonal skills
  • Must understand and fully embrace Roseburg's core values; "Sawdust in the Veins" (have a passion for the business and our customers), work from a "Handshake Integrity" and be "Driven to Win"

Preferred Qualifications
  • Experience mentoring/supervising other team members
  • Experience with JDE E1 and Tableau
  • Minimum of three years' experience performing financial or data analysis with completion of an advanced degree in business or finance or equivalent military experience

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