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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 ...

Homes For Good

Housing Specialist

Eugene, OR · On-site

The division is comprised of a team of Housing Specialists, Inspectors, Office Assistants, a Landlord Liaison, Data Analyst, Program Supervisor and Division Director. We believe that safe and ...

Homes For Good

Housing Specialist

Eugene, OR · On-site

The division is comprised of a team of Housing Specialists, Inspectors, Office Assistants, a Landlord Liaison, Data Analyst, Program Supervisor and Division Director. We believe that safe and ...

All JobsData Analyst JobsData Analyst Jobs in Springfield, OR

Data Analyst information

See Springfield, OR salary details

$34.5K

$83.8K

$137.9K

How much do data analyst jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data analyst in Springfield, OR is $83,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,400.00 and $98,400.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important in the job search process.

What job does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about 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 Data Analyst jobs in Springfield, OR look for? The top searched job categories for Data Analyst jobs in Springfield, OR are:
What cities near Springfield, OR are hiring for Data Analyst jobs? Cities near Springfield, OR with the most Data Analyst job openings:
Data Analyst jobs near you

Business Intelligence Analyst (Finance & Operations)

Carter Support Services

Eugene, OR • On-site

$85K - $90K/yr

Full-time

Posted 9 days ago

Job description

Location: Eugene Oregon
Industry: Manufacturing
Experience Level: 2-5 Years
Reports To: [Finance Manager / Director of Finance / Controller]
Position Summary
The Financial Data Analyst will play a critical role in transforming financial and operational data into actionable insights for a manufacturing organization. Approximately 60% of this role is focused on reporting, with a strong emphasis on building BI reports from scratch to support leadership decision-making across finance, operations, and commercial teams.
This role requires a hands-on analyst who is comfortable working with raw data, designing dashboards and reports, and delivering clear, accurate financial insights in a fast-paced manufacturing environment.
Key Responsibilities
Reporting & Business Intelligence (≈60% - Core Focus)
  • Design, develop, and maintain financial and operational reports from scratch using Business Intelligence tools (Power BI, Tableau, or similar).
  • Build automated dashboards and recurring reports to support budgeting, forecasting, cost tracking, and performance analysis.
  • Partner with finance and operations leaders to define reporting requirements and translate business needs into BI solutions.
  • Ensure data accuracy, consistency, and integrity across all reporting outputs.
  • Improve existing reporting processes by standardizing metrics and enhancing visualization quality.
Financial & Operational Analysis
  • Analyze financial performance, including revenue, costs, margins, and variances across manufacturing operations.
  • Support month-end and periodic financial reporting activities with data validation and analysis.
  • Identify trends, risks, and opportunities within production, labor, material, and overhead costs.
Pricing & Commercial Support (Nice to Have)
  • Assist with pricing analysis, including margin analysis and profitability modeling.
  • Support regular pricing updates, customer quotes, and new business pricing requests.
  • Collaborate with sales and operations teams to evaluate pricing strategies and cost impacts.
Required Qualifications (Must-Haves)
  • 2-5 years of experience in a financial analyst, data analyst, or reporting-focused role.
  • Proven experience creating BI reports and dashboards from scratch (Power BI, Tableau, or similar required).
  • Strong understanding of financial data, KPIs, and reporting structures.
  • Advanced Excel skills (pivot tables, formulas, data modeling).
  • SQL or other data-querying experience.
  • Ability to work independently with raw data and minimal structure.
  • Experience supporting or working within a manufacturing or industrial environment is strongly preferred.
Preferred / Nice-to-Have Qualifications
  • Experience with pricing, margin analysis, and profitability modeling.
  • Exposure to quoting processes and pricing updates for new or existing customers.
  • Experience working with ERP systems (e.g., SAP, Oracle, NetSuite, Dynamics).Understanding of standard manufacturing cost structures (COGS, labor, materials, overhead).
Key Competencies
  • Strong analytical and problem-solving skills
  • Ability to communicate financial insights clearly to non-finance stakeholders
  • Detail-oriented with a focus on accuracy and data integrity
  • Self-starter who thrives in a reporting-heavy, deadline-driven environment
Why This Role Matters
This position is essential to improving visibility, accuracy, and speed of financial decision-making. The Financial Data Analyst will directly influence operational efficiency, pricing strategy, and leadership insight by delivering high-quality, reliable reporting across the organization.

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