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Data Analysis Intern Jobs in Spokane, WA (NOW HIRING)

Danaher

Digital Analyst Internships

Spokane, WA · On-site

$99K - $117K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital experience for customers worldwide by analyzing data and documenting system workflows that power ...

Reli Group Inc

Power BI Intern

Spokane, WA · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

STCU

Community Impact Intern

Liberty Lake, WA · On-site

$18 - $20/hr

  • PTO

... Intern will give a very broad stroke view of STCU's Community Impact department, home to our ... analysis, data entry, and compiling and summarizing material on various, complex topics. This ...

STCU

Community Impact Intern

Liberty Lake, WA

$18 - $20/hr

  • PTO

... Intern will give a very broad stroke view of STCU's Community Impact department, home to our ... analysis, data entry, and compiling and summarizing material on various, complex topics. This ...

STCU

Community Impact Intern

Liberty Lake, WA · On-site

$18 - $20/hr

  • PTO

... Intern will give a very broad stroke view of STCU's Community Impact department, home to our ... analysis, data entry, and compiling and summarizing material on various, complex topics. This ...

STCU

Accounting Intern

Liberty Lake, WA · On-site

$16 - $20.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In addition, the intern may assist with data entry, document organization, and maintain financial ... Strong attention to detail and a high level of accuracy in data entry and analysis * Ability to ...

STCU

Accounting Intern

Liberty Lake, WA

$16 - $20.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In addition, the intern may assist with data entry, document organization, and maintain financial ... Strong attention to detail and a high level of accuracy in data entry and analysis * Ability to ...

Spokane Sports

Intern

Spokane, WA · On-site

$15.25 - $20.25/hr

Intern Reports to: Event Manager Status: Internship Location: Spokane, WA Overview Spokane Sports strengthens our community through the power of sports. As a 501(c)(3) nonprofit, we create, bid on ...

Spokane Sports

Intern

Spokane, WA · On-site

Intern Reports to: Event Manager Status: Internship Location: Spokane, WA Overview Spokane Sports strengthens our community through the power of sports. As a 501(c)(3) nonprofit, we create, bid on ...

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All JobsData Analysis Intern JobsData Analysis Intern Jobs in Spokane, WA

Data Analysis Intern information

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$22

$42

How much do data analysis intern jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data analysis intern in Spokane, WA is $22.75, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $24.81 per hour, depending on experience, location, and employer.

Is a data analysis intern internship worth it?

A data analysis intern internship provides practical experience with data tools like Excel, SQL, and Python, and helps develop analytical skills valuable for future roles. It can enhance a resume, offer networking opportunities, and improve job prospects in data-related fields. The value depends on the internship's quality and the skills gained, but it generally offers meaningful industry exposure for entry-level candidates.

What would a data analysis intern do?

A data analysis intern assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often use tools like Excel, SQL, or Python and may create reports or visualizations to communicate findings under supervision.

Can I do a data analysis intern internship?

Yes, a data analysis intern internship is typically available for students or entry-level candidates interested in developing skills in data manipulation, statistical analysis, and tools like Excel, SQL, or Python. Internships usually require relevant coursework or basic knowledge of data analysis concepts and may be part-time or summer positions.

What are some common challenges faced by data analysis interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

What is the difference between Data Analysis Intern vs Data Analyst?

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

What does a data analysis intern do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

What are the key skills and qualifications needed to thrive as a data analysis intern, and why are they important?

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.
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Infographic showing various Data Analysis Intern job openings in Spokane, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $47,330 per year, or $22.8 per hour.

DIA Maching Lrng Eng

Ford Motor Company

Spokane Valley, WA

Full-time

Medical, Dental, Life, PTO

Re-posted 11 days ago

Job description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

The future of smart mobility hinges on the intelligent application of data, metrics, and analytics. As part of our Global Data Insight & Analytics (GDI&A) team, you'll play a pivotal role. We serve as Ford's trusted advisers, providing clear insights into business conditions, customer needs, and the competitive environment. Our work empowers key decision-makers to act decisively and positively. By leveraging your expertise in data and analytics, you can contribute to timely, evidence-based decision-making.

Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. Our mission is to foster evidence-based decisions by unlocking insights from data. Our projects span various domains, including Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics.

We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all project stages, from problem identification to model deployment. Ideal candidates are self-motivated, have a strong sense of initiative, and a lifelong passion for learning to navigate the rapidly evolving field of mobility technology. We offer the freedom to conduct original research, select the most suitable methodologies, and tackle world-class machine learning challenges.

This role involves applying AI and ML to innovate in areas such as autonomous vehicles, cybersecurity, customer interaction, and product design. You'll be part of a forward-thinking team dedicated to using AI and ML to create groundbreaking solutions and shape our strategic direction in these fields and beyond.

  • Bachelor's degree in computer science, mathematics, statistics, operations research, or related field 

  • Experience with the complete software lifecycle

  • 1+ years of experience with delivering and maintaining production software products

  • Strong technical writing and oral communication skills

  • Expertise in one or more core domains involved in machine learning model deployment, including data engineering, model building, MLOps

  • Experience in productionizing generative AI to solve critical business problems

  • Preferred Qualifications

  • Doctorate in computer science, mathematics, statistics, operations research, or related field AND 1+ year(s) data-science experience (e.g. managing structured and unstructured data, applying statistical techniques and reporting results)

    • OR Master's degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data-science 

    • OR bachelor's degree in computer science, mathematics, statistics, operations research, or related field AND 5+ year(s) data-science experience

  • Experience with cloud-based deployments and best practices

  • Demonstrated contributions and expertise in one or more of the following AI domains:

    • Natural Language Processing (finetuning and distillation of LLMs, evaluation of LLM-powered applications, deploying models at scale, including development and deployment of LLM-driven AI agents capable of autonomous task execution and tool integration)

    • Computer Vision (anomaly detection / few-shot learning, multi-sensor fusion, object detection and tracking, scene segmentation, motion planning and prediction)

    • Generative AI (fine tuning stable diffusion models, multi-modal large language models, generation in the 3D domain)

    • Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point cloud or mesh-based neural networks, PDE surrogate modelling)

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
 
Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary
 
 
This role is remote unless you are within 50 miles of Dearborn, MI, then you will be required on-site 4x a week.
 
*Visa Sponsorship IS provided for this specific role*
*Relocation assistance is NOT provided for this specific role*
 
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
 
#LI-Remote
#LI-DS2 
 
SG7-SG8

  • Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)

  • Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends

  • Apply AI and Machine Learning technology to solve complex, real-world problems

  • Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely

  • Fulfill problem formulation and ML technique consulting requests in a timely manner

  • Communicate and present analytical models to business customers and executive management

  • Work collaboratively with different business partners and be able to present results in a clear and concise manner

Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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