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

Pwc

IT Audit/Controls - Senior Associate

Seattle, WA

$77K - $202K/yr

Accounting, Analytics/Data Science, Business Administration/Management, Computer Science ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Partner Energy

Energy Engineer I

Seattle, WA · On-site +1

$60K - $70K/yr

... SUMMARY The Energy Engineer I is an entry-level role that supports PARTNER's Energy ... Collect, organize, and analyze utility data for energy, water, and emissions reporting * Assist ...

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All JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Bothell, WA

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 Jul 5, 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 start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having 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.

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

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.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

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.
More about Entry Level Data Analyst jobs
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:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Bothell, WA as of June 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $76,561 per year, or $36.8 per hour.
Junior full stack Java Developer/Ai engineer

Junior full stack Java Developer/Ai engineer

SynergisticIT

Seattle, WA • On-site

Other

Posted 6 days ago

Job description

Failing Interviews Isn't a Talent Problem. It's a Preparation Problem.

If you're getting interviews but not offers, you're closer than you think—and that's the most frustrating stage to be in. You've already proven you're employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs. Most candidates don't fail because they're "not smart." They fail because they prepared the wrong way—watching tutorials, building shallow projects, or memorizing answers without mastering fundamentals. SynergisticIT's approach is built for this exact scenario. Since 2010, SynergisticIT has helped candidates move from "almost" to "offer," with many JOPP graduates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack. Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Client, Client, Banking, Walmart Labs, AutoZone, Client, Client, and more. The difference is that JOPP is designed to prepare you for how employers evaluate, not how bootcamps teach. SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI. Interview success improves when you can demonstrate not only coding ability, but also the "end-to-end" thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives. This is where many bootcamps fall short. They train you, hand you a certificate, and leave you alone. About 30% of candidates entering the Job Placement Program have already tried Udemy, Coursera, university bootcamps, or other coding bootcamps and still didn't land jobs—because those paths often focus on learning content, not passing interviews and securing offers.

Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps, and international candidates on F1/OPT who need employment to maintain status and pursue STEM extension/H-1B pathways. SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer). Explore resources and get started: If you want to explore the program directly, here are the key links:

  • Job Placement Program (JOPP):
  • Java Job Placement Program
  • Data Science / Data Jobs Program
  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature
  • Contact: https://www.synergisticit.com/contact-us/

If you're tired of being "final round" without the offer, stop guessing and start preparing with a plan. Fill out the SynergisticIT contact form and ask about the JOPP track that matches your target role.

Please read our blogs:

Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT The $100k H1B Filing Fee: Implications on U.S. Tech Employment | SynergisticIT Wage-Based H-1B Filing What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT

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