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Excel Research Jobs in Springfield, OR (NOW HIRING)

PeaceHealth

Executive Assistant

Springfield, OR

$31.60 - $47.40/hr

Requires strong computer and Internet research skills, flexibility, excellent interpersonal skills ... Proficient in Windows based PC applications (including Word, Excel, PowerPoint, Microsoft ...

PeaceHealth

Executive Assistant

Springfield, OR · On-site

$31.60 - $47.40/hr

Requires strong computer and Internet research skills, flexibility, excellent interpersonal skills ... Proficient in Windows based PC applications (including Word, Excel, PowerPoint, Microsoft ...

The Pape Group Inc

Corporate Accounting Assistant

Eugene, OR · On-site

$22 - $24/hr

Research and resolve discrepancies between vendor statements and the accounting system. * Process ... Intermediate Excel skills, and the ability to learn new computer systems and business partner ...

Apply Early

ENTEK

Sales Project Coordinator

Lebanon, OR · On-site

$26.50 - $29/hr

Review incoming RFQs and coordinate research to ensure accurate and complete quotations * Prepare ... Strong Microsoft Office skills, including Excel, Word, and Outlook * Excellent written and verbal ...

InsCipher

Tax Associate

Eugene, OR · Remote

$21 - $26/hr

Independently investigate, research, and resolve issues that may arise during the filing ... Intermediate skills in Excel or other spreadsheet software * Self-directed and detail-oriented with ...

InsCipher

Tax Associate

Eugene, OR · On-site

$21 - $26/hr

Independently investigate, research, and resolve issues that may arise during the filing ... Intermediate skills in Excel or other spreadsheet software * Self-directed and detail-oriented with ...

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Excel Research information

What is the difference between Excel Research vs Data Analyst?

AspectExcel ResearchData Analyst
Required CredentialsBasic Excel skills, possibly some certifications in data managementDegree in statistics, data science, or related field; often certifications in data analysis tools
Work EnvironmentOffice or remote, focused on data gathering and basic analysisOffice, corporate, or consulting settings, involving complex data interpretation
Employer & Industry UsageMarket research firms, small businesses, or departments within larger companiesFinance, marketing, healthcare, and tech industries
Common Search & ComparisonOften compared for entry-level data tasksMore advanced analysis and reporting roles

Excel Research typically involves gathering and organizing data using Excel, focusing on basic analysis. Data Analysts perform more complex data interpretation, statistical analysis, and reporting, often requiring advanced skills and certifications. While Excel Research is suitable for entry-level data tasks, Data Analysts handle comprehensive data projects across various industries.

What are the key skills and qualifications needed to thrive as an Excel Research Analyst, and why are they important?

To excel as an Excel Research Analyst, you need strong analytical skills, proficiency in data interpretation, and a solid understanding of Microsoft Excel functions and data management, often supported by relevant coursework or experience. Familiarity with advanced Excel tools such as PivotTables, VLOOKUP, and data visualization add-ons, as well as certifications like Microsoft Office Specialist, are highly beneficial. Attention to detail, problem-solving abilities, and clear communication are crucial soft skills that help ensure accuracy and effective reporting. These skills and qualities are essential for transforming raw data into actionable insights and supporting informed business decisions.

What is Excel research?

Excel research refers to the process of using Microsoft Excel to collect, organize, analyze, and interpret data for research purposes. This can involve tasks like data entry, statistical analysis, creating charts and graphs, and generating reports. Excel research professionals often utilize formulas, pivot tables, and various tools within Excel to extract insights and support decision-making. This role is common in business, academic, and scientific settings where data management and analysis are required. Mastery of Excel helps streamline research workflows and improve the accuracy of results.

What are some common challenges faced in an Excel Research role, and how can they be overcome?

A common challenge in an Excel Research role is managing and analyzing large, complex datasets while maintaining data accuracy. This often requires advanced proficiency in Excel functions, such as pivot tables and formulas, and sometimes integrating data from external sources. Collaborating with other team members, like data analysts or subject matter experts, is essential to ensure the research findings are thorough and reliable. Staying organized with clear documentation and regularly validating data helps minimize errors and streamline workflow.
What job categories do people searching Excel Research jobs in Springfield, OR look for? The top searched job categories for Excel Research jobs in Springfield, OR are:
What cities near Springfield, OR are hiring for Excel Research jobs? Cities near Springfield, OR with the most Excel Research job openings:
Excel Research jobs near you
Infographic showing various Excel Research job openings in Springfield, OR as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Eugene, OR • On-site

Other

Posted 14 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply