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Entry Level Business Intelligence Jobs in Kent, WA

Pwc

AML/Sanctions- Data Scientist- Associate

Seattle, WA · On-site

$63K - $140K/yr

In business intelligence at PwC, you will focus on leveraging data and analytics to provide ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

Prism Biotech

Sales Representative - Biotech

Redmond, WA · On-site

$87K - $118K/yr

Pharmaceutical Sales Representative (Specialty to entry level both available) Pharmaceutical Sales ... intelligence to brand teams and management * Collaborate cross-functionally with other business ...

Immune Biopharma

Pharmaceutical Detail Rep

Bellevue, WA · On-site

$89K - $119K/yr

Pharmaceutical Sales Representative (Specialty to entry level both available) Pharmaceutical Sales ... business opportunities develop and grow market * Communicate competitive market intelligence to ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Seattle, WA · On-site

$77K - $202K/yr

... Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI ... Your contributions will be crucial in transforming data into insights, driving business growth, and ...

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All JobsBusiness Intelligence JobsEntry Level Business Intelligence JobsEntry Level Business Intelligence Jobs in Kent, WA

Entry Level Business Intelligence information

See Kent, WA salary details

$33.3K

$129K

$189.1K

How much do entry level business intelligence jobs pay per year?

As of Aug 14, 2026, the average yearly pay for entry level business intelligence in Kent, WA is $128,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $160,900.00 per year, depending on experience, location, and employer.

Is entry level business intelligence still in demand?

Entry level business intelligence roles are in demand due to the increasing reliance on data-driven decision making across industries. Skills in data analysis, SQL, and visualization tools like Tableau or Power BI are valuable for these positions, which often serve as a stepping stone to more advanced analytics careers.

How does an entry level business intelligence professional typically interact with other departments within a company?

Entry-level Business Intelligence professionals often collaborate closely with departments such as marketing, finance, and operations to gather data requirements and understand business objectives. They may attend cross-functional meetings to discuss reporting needs, translate business questions into data queries, and present their findings to non-technical stakeholders. Building strong communication skills and learning to explain data insights in a straightforward manner are key to succeeding in this collaborative environment.

What is the difference between Entry Level Business Intelligence vs Data Analyst?

AspectEntry Level Business IntelligenceData Analyst
Required CredentialsBachelor's in IT, Business, or related field; basic knowledge of BI toolsBachelor's in Statistics, Math, or related field; proficiency in data analysis tools
Work EnvironmentBusiness intelligence teams, IT departments, data-driven projectsData teams, marketing, finance, or operations departments
Employer & Industry UsageUsed across industries for reporting and dashboardsUsed for data interpretation, reporting, and insights across sectors
Common Search & ComparisonYesYes

Entry Level Business Intelligence roles focus on creating dashboards, reports, and supporting data-driven decision-making using BI tools. Data Analysts interpret data, perform statistical analysis, and generate insights. While both roles require similar educational backgrounds and work in data-centric environments, Business Intelligence positions emphasize reporting and visualization, whereas Data Analysts focus more on data interpretation and analysis.

What are the key skills and qualifications needed to thrive as an entry level business intelligence professional?

To thrive as an Entry Level Business Intelligence professional, you need analytical thinking, data interpretation skills, and a bachelor's degree in business, computer science, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and Excel is typically required, while certifications in BI platforms can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for ensuring that organizations make informed, data-driven decisions that support business growth.

How to start a career in entry level business intelligence?

To start a career in entry-level business intelligence, gain foundational skills in data analysis, SQL, and data visualization tools like Tableau or Power BI. Obtain relevant education such as a bachelor's degree in business, computer science, or related fields, and consider certifications like Microsoft Certified Data Analyst or Tableau Desktop Specialist to enhance your qualifications.

What is an entry level business intelligence job?

Entry level business intelligence jobs are positions that involve collecting, analyzing, and interpreting data to help organizations make informed business decisions. These roles typically include job titles like BI Analyst, Data Analyst, or Junior BI Developer and are suitable for recent graduates or those new to the field. Responsibilities often include creating reports, managing data sets, and using tools like SQL, Excel, and BI software such as Tableau or Power BI. Entry level positions provide foundational experience in data analytics, reporting, and business strategy.

What are the most commonly searched types of Business Intelligence jobs in Kent, WA?

The most popular types of Business Intelligence jobs in Kent, WA are:

What cities near Kent, WA are hiring for Entry Level Business Intelligence jobs?

Cities near Kent, WA with the most Entry Level Business Intelligence job openings:

Entry Level Business Intelligence jobs near you
Infographic showing various Entry Level Business Intelligence job openings in Kent, WA as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $128,987 per year, or $62 per hour.

AML/Sanctions- Data Scientist- Associate

Pwc

Seattle, WA • On-site

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants

Job description

Industry/Sector

Banking and Capital Markets

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Apply a learning mindset and take ownership for your own development.
Appreciate diverse perspectives, needs, and feelings of others.
Adopt habits to sustain high performance and develop your potential.
Actively listen, ask questions to check understanding, and clearly express ideas.
Seek, reflect, act on, and give feedback.
Gather information from a range of sources to analyse facts and discern patterns.
Commit to understanding how the business works and building commercial awareness.
Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
The Opportunity
As part of the Financial Crime Unit team you will apply analytical methods to complex datasets leveraging SQL and Python to tackle financial crime challenges. As an Associate you will focus on learning and contributing to client engagement, building meaningful connections while navigating complex situations to enhance your personal brand and technical knowledge.
Responsibilities
- Utilize analytical techniques to address financial crime issues
- Engage with clients to foster meaningful professional relationships
- Apply SQL and Python for data analysis and problem-solving
- Explore machine learning, NLP, and LLMs in relevant projects
- Contribute to team efforts while enhancing personal technical skills
- Adapt to complex situations and develop strategic insights
- Participate in research to support project objectives
- Uphold professional standards and ethical guidelines
What You Must Have
- Bachelor's Degree in Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics, Mathematics, Data Processing/Analytics/Science or related field
- 1 year of experience in data science/machine learning
What Sets You Apart
- Interest in financial crime, AML, and fraud analytics
- Skilled in SQL for complex data queries
- Advanced Python skills for data manipulation
- Experience building and deploying machine learning models
- Understanding of machine learning concepts and algorithms
- Comfort working with structured and unstructured data
- Familiarity with agentic AI frameworks
- Hands-on experience with CI/CD pipelines for data science
- Proficiency in SQL and Python
- Basic understanding of machine learning algorithms and evaluation metrics
- Exposure to frameworks such as scikit-learn, XGBoost, Hugging Face Transformers
- Other quantitative fields of study may be considered

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs 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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