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

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$75K - $87K/yr

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Experience using ESRI's ArcGIS Spatial Analyst Extension * Proficient with programming languages ...

WSP

Environmental Data Analytics Specialist

Redmond, WA

$75K - $87K/yr

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Experience using ESRI's ArcGIS Spatial Analyst Extension * Proficient with programming languages ...

Pwc

Data Engineer - Senior Associate

Seattle, WA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

SynergisticIT

Jr. Java Programmer

Seattle, WA · On-site

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

SynergisticIT

Java / Back-End Developer

Bremerton, WA · On-site

$54.75 - $70.75/hr

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

Sogeti

Entry Level Technologist

Bellevue, WA · On-site

Details Entry Level Technologist Location: Bellevue, WA and Santa Clara, CA Eligibility - US ... A bachelor's degree in Computer Science, Software Engineering, Data Analytics, Quality Engineering ...

City of Seattle, WA

Fire Exams Analyst, Senior

Seattle, WA · On-site +1

$55.19 - $64.25/hr

We develop and administer merit-based entry-level and promotional exams for the Seattle Fire and ... Manage exam-related data, documentation, and information throughout the testing lifecycle * Oversee ...

City of Seattle

Fire Exams Analyst, Senior

Seattle, WA

$55.19 - $64.25/hr

We develop and administer merit-based entry-level and promotional exams for the Seattle Fire and ... data management systems Help coordinate and respond to relevant public disclosure requests in ...

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Entry Level Data Analyst information

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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 Data Scientist/data Analyst/Java full stack developer

Junior Data Scientist/data Analyst/Java full stack developer

SynergisticIT

Redmond, WA • On-site

Other

Posted 9 days ago

Job description

“Ghosted by companies or lack of Interviews? Start getting offers” - Get Hired with a Process which Works ! Many job seekers assume the tech market has shut down, but the truth is companies are still hiring — they’re just being more selective.

Employers want candidates who demonstrate practical skills, confidence, and readiness. That means only the most prepared, polished, and employer‑ready candidates get through. Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one.

If you’re getting interviews but not offers, you’re closer than you think—yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds. The result is painful: “almost hired” over and over again, while the confidence drops.

The truth is that interviewing is its own skill, and Colleges don’t teach it. They teach how to code—but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer. Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers.

The best way to understand this: you can be smart and still fail interviews if you don’t know what the interview is truly measuring. Interviews rarely test “can you write code at home.” They test: Can you solve problems under constraints and time pressure? Can you communicate your approach clearly?

Can you handle edge cases and complexity? Can you explain trade-offs and design choices? Can you show job-ready project depth, not just toy examples?

SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers. The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for. If your pattern is “I reach interviews but don’t clear them,” you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity.

You don’t need to be perfect—you need to show you can think, collaborate, and deliver. That’s why guided mock interviews and structured interview coaching can be a game-changer. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career?

Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in “screen round limbo” Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who haven’t interviewed in years and feel rusty Career changers who fear “I’m behind CS grads” (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical. If you’re tired of failing interviews and want a structured plan to convert interviews into offers, start here: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ Because getting hired isn’t about trying harder—it’s about preparing smarter, practicing correctly, and having the right guidance. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.

Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

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