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Data Analyst Data Science Jobs in Springfield, OR

Digital Analyst Internships

Eugene, OR · On-site

$98K - $117K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

ACT Science Tutor

Eugene, OR · Remote

$18 - $40/hr

Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

BI Data Engineer

Springfield, OR · On-site +1

$52.75 - $68.50/hr

Design, develop, test, and deploy Business Intelligence analytics and reporting solutions * Lead ... Bachelor's degree in Computer Science, Information Technology, Mathematics, or related area of ...

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports * Attending project meetings, schedule control, submit for permits for on ...

Earth Science Tutor

Eugene, OR · Remote

$18 - $40/hr

Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ... scientific literacy. * Effective Teaching Methods: Ability to identify concepts students commonly ...

Skilled at breaking down the scientific method, experimental variable identification, and basic data analysis for middle school learners. Guides students through designing controlled experiments ...

Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing students for AP science courses, Regents examinations, and college science prerequisites.

Skilled at breaking down algorithm analysis, data structure implementation, and systems-level ... Familiar with college computer science curricula and common challenges such as understanding ...

... analyzing environmental case studies, interpreting water quality and air pollution data, and ... Familiar with AP Environmental Science curriculum across nine units and common challenges such as ...

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Showing results 1-20

Data Analyst Data Science information

See Springfield, OR salary details

$35.2K

$85.5K

$140.8K

How much do data analyst data science jobs pay per year?

As of Jul 9, 2026, the average yearly pay for data analyst data science in Springfield, OR is $85,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,700.00 and $100,400.00 per year, depending on experience, location, and employer.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What cities near Springfield, OR are hiring for Data Analyst Data Science jobs? Cities near Springfield, OR with the most Data Analyst Data Science job openings:
SIOP Analyst II

Full-time

Posted 29 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

What Roseburg Forest Products employees say

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