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Data Analytics Intern Jobs in Renton, WA (NOW HIRING)

The Energy Authority Inc

Trading Intern, West

Bellevue, WA · On-site

$18.70 - $25.30/hr

Analyze deal flow and collaborate with settlements on liquidated damages * Monitor performance ... Monitor real-time data feeds and respond to changing portfolio conditions * Coordinate scheduling ...

Vigor, LLC

Project Management Intern

Seattle, WA · On-site

$23.08 - $26.44/hr

The Intern role is intended to be a learning and contributing position. The position, within the ... Use data analysis to help guide the program * Identify areas of concerns or areas of opportunity

Vigor Marine LLC

Project Management Intern

Seattle, WA

$23.08 - $26.44/hr

The Intern role is intended to be a learning and contributing position. The position, within the ... Use data analysis to help guide the program * Identify areas of concerns or areas of opportunity

New

Sunbelt Controls

Intern (Sunbelt Controls)

Seattle, WA

$18 - $25/hr

Under direction of the Engineering Manager, the Engineering Intern position will work primarily ... data analytics and fault detection diagnostics. We lead the industry with building control products ...

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All JobsData Analytics Intern JobsData Analytics Intern Jobs in Renton, WA

Data Analytics Intern information

See Renton, WA salary details

$13

$25

$47

How much do data analytics intern jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for data analytics intern in Renton, WA is $25.31, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $27.60 per hour, depending on experience, location, and employer.

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

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are the big 4 internships?

The Big 4 internships typically refer to summer internship programs at Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas like audit, consulting, tax, and advisory, providing valuable experience for aspiring professionals in fields such as data analytics, accounting, and finance.

What are some common challenges Data Analytics Interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

What does a Data Analytics Intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

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

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

How to get a data analyst intern?

To become a data analyst intern, candidates should develop skills in data analysis tools like Excel, SQL, or Python, and build a strong understanding of statistics and data visualization. Gaining relevant experience through coursework, projects, or certifications can improve chances, and applying to internships through company career portals or job boards is essential. Strong communication skills and a willingness to learn are also important for securing an internship in this field.

What does a data analyst intern do?

A data analyst 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 work under supervision to develop reports and visualizations that help organizations understand their data.

Is AI replacing data analysts?

AI tools are automating certain tasks in data analysis, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking and domain knowledge that AI cannot fully replicate, making the profession unlikely to be fully replaced by AI in the near future.
What are the most commonly searched types of Data Analytics jobs in Renton, WA? The most popular types of Data Analytics jobs in Renton, WA are:
What job categories do people searching Data Analytics Intern jobs in Renton, WA look for? The top searched job categories for Data Analytics Intern jobs in Renton, WA are:
What cities near Renton, WA are hiring for Data Analytics Intern jobs? Cities near Renton, WA with the most Data Analytics Intern job openings:
Data Analytics Intern jobs near you
Infographic showing various Data Analytics Intern job openings in Renton, WA as of June 2026, with employment types broken down into 3% Internship, 33% Full Time, 17% Part Time, 6% Temporary, 37% Contract, and 4% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $52,652 per year, or $25.3 per hour.

Applied Machine Learning Intern

WaveWorks Technologies Inc

Seattle, WA • On-site

Full-time

Posted 24 days ago

Job description

Applied Machine Learning Intern
WaveWorks is building applied AI systems for real-world industrial environments. We are seeking a hands-on Applied Machine Learning Intern to work directly on live deployment data, develop modeling approaches, and take ownership of analysis for an active site.
RESPONSIBILITIES
  • Process, clean, and structure large-scale audio/time-series datasets
  • Align data with ground truth and validate data quality
  • Develop and evaluate modeling approaches for predictive maintenance
  • Design and run structured experiments, analyze results, and document findings
  • Improve data workflows and evaluation pipelines

REQUIRED QUALIFICATIONS
  • Pursuing a degree in Computer Science, Electrical Engineering, Data Science, or related field
  • Strong Python skills
  • Experience with ML frameworks (PyTorch, TensorFlow, or scikit-learn)
  • Comfortable working with real-world, noisy datasets
  • Strong analytical and documentation skills

PREFERRED QUALIFICATIONS
  • MS or PhD candidate in a relevant technical field
  • Experience with audio processing or time-series feature engineering
  • Familiarity with anomaly detection
  • Exposure to signal processing concepts (FFT, spectrograms, filtering)
  • Experience designing and evaluating structured ML experiments
  • Self-driven and comfortable operating in an early-stage environment

WaveWorks is committed to a friendly and welcoming working environment. WaveWorks does not discriminate based on race, gender, age, religious affiliation, or any other legally protected status.
WaveWorks is located in downtown Seattle, Washington.

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