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Entry Level Data Analyst Jobs in Bothell, WA (NOW HIRING)

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... Manage all aspects of the research process, including idea generation, data analysis, hypothesis ...

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Entry-Level Product Review Engineer Company: The Boeing Company Boeing Defense, Space & Security ... Identifies analyses fleet data, collects and evaluates data on customer findings for product ...

Entry-Level Product Review Engineer Company: The Boeing Company Boeing Defense, Space & Security ... Identifies analyses fleet data, collects and evaluates data on customer findings for product ...

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists. Who should apply? Recent computer science ...

BPO needs a creative, dynamic and results driven business intelligence professional who wants to build and create the data and metrics framework that will support Private Pricing globally. This role ...

BPO needs a creative, dynamic and results driven business intelligence professional who wants to build and create the data and metrics framework that will support Private Pricing globally. This role ...

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Entry Level Data Analyst information

See Bothell, WA salary details

$14

$36

$69

How much do entry level data analyst jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for entry level data analyst in Bothell, WA is $36.81, according to ZipRecruiter salary data. Most workers in this role earn between $23.65 and $41.11 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are more important than age. Many professionals start new careers later in life by gaining relevant certifications and building a portfolio of projects.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Is it hard to get hired as a data analyst?

Entry level data analyst positions can be competitive, but having relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau or Power BI can improve your chances. Employers often look for a bachelor's degree in a related field and some experience with data analysis projects or certifications. Persistence and continuous skill development are important for securing an entry-level role.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Is AI replacing data analysts?

AI tools are automating certain repetitive tasks in data analysis, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing context. Entry level data analysts need to develop skills in data visualization, programming, and understanding AI capabilities to stay relevant in the evolving job market.

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

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
What are the most commonly searched types of Data Analyst jobs in Bothell, WA? The most popular types of Data Analyst jobs in Bothell, WA are:
What are popular job titles related to Entry Level Data Analyst jobs in Bothell, WA? For Entry Level Data Analyst jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst jobs in Bothell, WA look for? The top searched job categories for Entry Level Data Analyst jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Entry Level Data Analyst jobs? Cities near Bothell, WA with the most Entry Level Data Analyst job openings:
Project Support Coordinator (Entry Level)

Project Support Coordinator (Entry Level)

Q ANALYSTS LLC

Kirkland, WA • On-site

Full-time

Posted 7 hours ago


Job description

Company Description
About Q Analysts:
Q Analysts has a eighteen-years track record of providing managed services and we've partnered with some of the world's best companies to deliver services that exceed expectations. Q Analysts provides industry-leading managed services that drive Quality for Quality Assurance and Testing of hardware devices, software apps and experiences as well as Ground Truth Data Services for artificial intelligence (AI) and machine learning (ML).
Q Analysts is headquartered in San Jose, CA with a presence throughout the US and subsidiaries globally on four continents. The company has been recognized repeatedly for its industry-leading growth rate and service quality. At Q Analysts, we listen to your needs and help you select what's right for you - this includes the right career opportunities, a choice of comprehensive benefits packages as well as technical training. When you become a Q Analysts employee, you'll see the difference in the superior levels of support and service we deliver to you, our partners, through our Consultant Experience Program. Learn about us here and come join us.
(Verification of COVID 19 vaccination, background check, and ability to work in the United States without requiring sponsorship required for all new hires.)
Job Description
Q Analysts is looking for Data Collection Associates (DCAs) to support Ground Truth Data Collection initiatives and contribute to the development of VR and AR products.
The focus of ground truth data collection is to capture various types of data relating to humans, speech and environments to enable quality Artificial Intelligence and Machine Learning algorithms.
DCAs will be responsible for performing data collection directly with participants while utilizing sophisticated equipment in a simulated environment. The ideal candidate has the perfect blend of customer service and technology skills.
Responsibilities:
  • Guide hired research participants for data collection sessions in a secured office or home environment to perform scripted motion captures
  • Prep and maintain assigned equipment and ensure security of proprietary devices
  • Prep participants for capture including intake, NDAs, scripting and answering questions
  • Maintain capture environment and implement lighting and staging changes
  • Respond swiftly to project updates and changes
  • Provide feedback to operations lead on project improvements
  • Perform data uploads
  • Troubleshooting: Ability to mitigate issues, customer-facing or technology related

Qualifications
Skills and Requirements:
  • Strong face to face customer service experience
  • Strong communication skills
  • Professional appearance and demeanor
  • Technologically adept and familiar with latest trends in technology; AI/ML/AR/VR
  • Organized and detail oriented
  • Thrives in a team environment
  • Ability to manage responsibilities in a fast-paced environment

Experience:
  • Experience in a related role such as customer service or data collection
  • Experience with Microsoft Office 365 and its components (SharePoint, Forms, Outlook, Word, Excel)
  • High school diploma and 2+ years working in a team environment

Additional Information
All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability Q Analysts is an EOE. All your information will be kept confidential according to EEO guidelines.