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

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

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

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 ...

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 ...

Marketing Intern

Kirkland, WA

$17 - $22.75/hr

About the role Embark on an exciting marketing voyage with Reckitt as an Intern in our dynamic ... Conduct market research and competitor analysis. * Assist in consumer insights and data analysis.

We Problem-Solve - Identifying issues, analyzing for understanding, and taking action to implement ... Retrieve Data: Gather and consolidate data and information from diverse sources efficiently.

We Problem-Solve - Identifying issues, analyzing for understanding, and taking action to implement ... Retrieve Data: Gather and consolidate data and information from diverse sources efficiently.

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Data Analytics Intern information

See Renton, WA salary details

$13

$25

$47

How much do data analytics intern jobs pay per hour?

As of Jul 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 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.

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:
Infographic showing various Data Analytics Intern job openings in Renton, WA as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $52,652 per year, or $25.3 per hour.
Marketing Operations Intern (Fall 2026)

Marketing Operations Intern (Fall 2026)

Snowflake

Bellevue, WA • On-site

Other

Medical, Dental, Vision, Life

Posted 23 days ago


Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

MARKETING OPERATIONS INTERN - FALL 2026

There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.

We’re looking for dedicated students who share our passion for groundbreaking technology and want to create a lasting future for themselves and Snowflake. Snowflake is seeking a dynamic and motivated Marketing Operations Intern to join our Marketing Operations team, primarily focusing on Lead Management and lead lifecycle analysis.

This role is designed for a detail-oriented individual looking for exposure to B2B Marketing Operations, Lead Management strategy, and the technologies that support the marketing and sales funnel. As an intern, you will analyze lifecycle progression, qualification signals, sales dispositions, and conversion trends to understand how leads move through the funnel. Through data and process analysis, you will identify opportunities to improve lead management effectiveness and provide insights that strengthen alignment between Marketing and Sales, ultimately driving pipeline creation.

WHAT WE OFFER:

  • Paid, full-time internships in the heart of the software industry
  • Post-internship career opportunities (full-time and/or additional internships)
  • Exposure to a fast-paced, fun and inclusive culture
  • Opportunity to contribute to business-critical initiatives that help Marketing and Sales generate pipeline
  • Immersion in an AI-forward culture that encourages experimentation, continuous learning, and the creative use of AI to solve real business challenges
  • High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation

WHAT WE EXPECT:

  • Must be actively enrolled in an accredited college or university program during the time of the internship
  • Desired Class Level: Currently enrolled in a Bachelor's or Master's program
  • Desired Degree: Business, Marketing, Analytics, Information Systems, Economics, or a related field
  • Strong interest in business operations, analytics, process improvement, or marketing operations
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills
  • Strong attention to detail and organizational skills
  • Self-motivated and eager to learn in a fast-paced environment
  • Strong curiosity about how AI is reshaping the way teams work, collaborate, and solve problems

BONUS EXPERIENCE:

  • Experience working with data and identifying meaningful insights that drive business outcomes
  • Familiarity with CRM or marketing platforms (e.g., Salesforce, Marketo) is advantageous but not required
  • Experience documenting business processes, workflows, or operational procedures
  • Experience with Excel, Google Sheets, SQL, or similar analytical tools

WHAT YOU WILL LEARN / GAIN:

  • Understand how lead management systems, processes, and teams work together to generate pipeline
  • Learn how qualification signals, sales engagement, and lifecycle stages influence lead outcomes
  • Understand how Marketing and Sales collaborate to optimize funnel performance
  • Develop analytical and problem-solving skills through real-world business challenges
  • Understand the importance of a strong data foundation in enabling AI-driven efficiency, productivity, and innovation

POSSIBLE TEAMS / WORK FOCUS AREAS:

  • Analyze conversion trends to identify the engagement signals and qualification criteria most predictive of lead progression
  • Evaluate lead routing, lifecycle progression, and sales disposition data to uncover opportunities to improve lead management effectiveness
  • Develop benchmark analyses to understand expected conversion performance across marketing programs and campaign types
  • Assess how lead quality, scoring signals, and engagement patterns influence pipeline creation

Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

The following represents the expected range of compensation for this role:

  • The estimated pay range for this role is $26.00 - $30.00 per hour.

The successful candidate’s starting hourly rate will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; flexible spending & health savings account; employee assistance program; and other company benefits.

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