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Entry Level Power Bi Jobs in Seattle, WA (NOW HIRING)

Experience with common coding and visual software, such as Python, SQL, Power BI, and Power Query ... Entry-level or up to 3 years of insurance related actuarial experience.High school diploma required.

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Entry Level Power Bi information

See Seattle, WA salary details

$33.6K

$55.5K

$70K

How much do entry level power bi jobs pay per year?

As of Sep 9, 2026, the average yearly pay for entry level power bi in Seattle, WA is $55,550.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $60,300.00 per year, depending on experience, location, and employer.

What is an entry level Power BI?

An Entry Level Power BI job involves using Microsoft's Power BI tool to analyze data, create reports, and build interactive dashboards. Responsibilities typically include gathering data from various sources, transforming and cleaning data, and visualizing insights to support business decisions. Employers often look for candidates with basic knowledge of SQL, Excel, and data visualization principles. While prior experience may not be required, a strong understanding of Power BI and data analytics concepts is essential. This role serves as a foundation for advancing into more specialized data roles such as BI Developer or Data Analyst.

What does an entry level Power BI do?

As an Entry Level Power BI professional, your daily responsibilities typically involve gathering and cleaning data, creating and updating dashboards or reports, and collaborating with managers or business teams to interpret results. You may also assist with troubleshooting data discrepancies, attending team meetings, and learning best practices for data visualization. While you'll often work under the guidance of more experienced analysts, you’ll have opportunities to develop your technical skills and build your understanding of business processes. This role is a great way to gain hands-on experience with modern data tools and to begin building a career in business intelligence.

What skills and qualifications are needed for an entry level Power BI?

To thrive as an Entry Level Power BI professional, you need a foundational understanding of data analysis, report creation, and visualization using Power BI, often supported by a bachelor’s degree in a related field such as business, IT, or analytics. Familiarity with Microsoft Power BI, Excel, and basic SQL or database concepts, as well as completion of Power BI certifications, can be highly beneficial. Strong attention to detail, communication skills, and problem-solving abilities help individuals collaborate effectively and translate data into actionable insights. These skills are essential for accurately interpreting data, creating meaningful dashboards, and contributing valuable information to business teams.

Can I get a job just by learning Entry Level Power BI?

Entry Level Power BI roles typically require foundational knowledge of data visualization, data modeling, and familiarity with the Power BI tool. While learning Power BI is essential, employers often look for additional skills such as Excel, SQL, or basic data analysis, and relevant certifications can improve job prospects. Gaining practical experience through projects or internships also enhances employability in entry-level positions.

Is entry level Power BI still in demand in 2026?

Entry level Power BI roles remain in demand as organizations increasingly rely on data visualization and business intelligence tools to inform decision-making. Skills in Power BI, along with data analysis and reporting, are valuable for entry-level positions across various industries, and demand is expected to continue growing with the expansion of data-driven strategies.

Is entry level Power BI still in demand?

Entry level Power BI roles remain in demand as organizations increasingly rely on data visualization and analytics tools to support decision-making. Skills in Power BI, along with knowledge of data modeling and DAX, are valuable for entry-level positions in data analysis and business intelligence environments.

What are the most commonly searched types of Power Bi jobs in Seattle, WA?

The most popular types of Power Bi jobs in Seattle, WA are:

What are popular job titles related to Entry Level Power Bi jobs in Seattle, WA?

For Entry Level Power Bi jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Power Bi jobs in Seattle, WA look for?

The top searched job categories for Entry Level Power Bi jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Entry Level Power Bi jobs?

Cities near Seattle, WA with the most Entry Level Power Bi job openings:

Infographic showing various Entry Level Power Bi job openings in Seattle, WA as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 88% In-person, 5% Hybrid, and 7% Remote job distribution, with an average salary of $55,550 per year, or $26.7 per hour.

Data & Analytics Technology Consulting Intern - Summer 2027

Seattle, WA

$29.25 - $48/hr

Full-time

Posted 5 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.