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

Accenture

Data Protection, A/SA-Evergreen

Seattle, WA · On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Pwc

AI & GenAI Data Scientist - Manager

Seattle, WA · On-site

$99K - $232K/yr

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

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 ...

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All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Tacoma, WA

Entry Level Data Analyst information

See Tacoma, WA salary details

$14

$35

$66

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

As of Sep 8, 2026, the average hourly pay for entry level data analyst in Tacoma, WA is $35.36, according to ZipRecruiter salary data. Most workers in this role earn between $22.74 and $39.52 per hour, depending on experience, location, and employer.

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 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 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.

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.

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Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Tacoma, WA as of September 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $73,550 per year, or $35.4 per hour.

Data & Analytics Technology Consulting Intern - Summer 2027

PRICEWATERHOUSECOOPERS CORPORATE FINANCE LLC

Seattle, WA

$29.25 - $48/hr

Full-time

Posted 4 days ago

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity


As a Data & Analytics Technology Consulting - Intern, you will engage in projects that focus on learning and gaining exposure to PwC's practices, while supporting teams with basic tasks and conducting research. Within our Advisory practice, you will have the chance to work alongside experienced professionals who guide clients towards sustainable growth and competitive advantage in today's dynamic market. This role offers a unique opportunity to observe and participate in the development of data-driven solutions, leveraging data science, analytics, and artificial intelligence to drive innovation and gain a competitive edge.


As an Intern, you will support teams by participating in projects, focusing on learning and gaining exposure to PwC practices. You will perform basic tasks and conduct research while observing professional work environments. In this role at PwC, you will be encouraged to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team's success. This is an entry-level position where you will start to establish your personal brand, paving the way to more opportunities within the firm.


Responsibilities


- Supporting teams in data analysis and research to gain insights and contribute to project goals

- Participating in the development and implementation of data-driven solutions using tools like Power BI and Tableau

- Assisting in the creation of data visualizations to communicate complex data insights effectively

- Engaging in algorithm development and machine learning tasks to enhance data processing capabilities

- Conducting research and gathering information to support data validation and security measures

- Utilizing Microsoft SQL Server Data Tools and Python for data manipulation and analysis

- Collaborating with team members to apply predictive analytics and generate actionable insights

- Observing and learning from experienced professionals to understand data analytics methodologies and practices

- Applying a learning mindset to develop skills in data analytics and artificial intelligence technologies


What You Must Have


- Currently pursuing or have completed a Bachelor's degree

- Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program. Client service interns typically join us during the winter/spring or summer prior to their intended graduation year


What Sets You Apart


- Preference for at least one of the following fields of study: Business Analytics, Computer Information System, Computer Programming, Data Processing/Analytics/Science, Industrial & System Engineering, Industrial and Operations Engineering, Industrial Engineering, Informatics, Information Science, Information System, Information Technology, Management Information Systems

- Preferred cumulative GPA: 3.3

- Preferred major GPA: 3.3

- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes

- Developing skills in algorithm development and machine learning

- Utilizing tools like Alteryx, Power BI, and Tableau for data visualization

- Conducting analytic research to drive data-driven insights

- Applying Python programming for predictive analytics and data processing

Travel Requirements

Up to 80%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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