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Entry Level Data Mining Jobs in Seattle, WA (NOW HIRING)

All JobsData Mining JobsEntry Level Data Mining JobsEntry Level Data Mining Jobs in Seattle, WA

Entry Level Data Mining information

See Seattle, WA salary details

$58K

$79.7K

$101.3K

How much do entry level data mining jobs pay per year?

As of Jul 21, 2026, the average yearly pay for entry level data mining in Seattle, WA is $79,661.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $96,700.00 per year, depending on experience, location, and employer.

What is an Entry Level Data Mining job?

An Entry Level Data Mining job involves collecting, cleaning, and analyzing large datasets to identify patterns and trends. Professionals in this role use statistical techniques, programming languages like Python or SQL, and data visualization tools to extract meaningful insights. They often support business decisions by preparing reports, building predictive models, and ensuring data quality. This role is ideal for individuals with a background in data science, computer science, or related fields who want to gain hands-on experience in handling and interpreting data.

How much does an entry-level miner make?

Entry-level data miners typically earn between $40,000 and $60,000 annually, depending on the industry, location, and specific skills such as knowledge of SQL or data analysis tools. Starting salaries may be lower in some regions or companies, but with experience and additional training, earnings can increase.

What does a typical day look like for someone in an Entry Level Data Mining position?

A typical day for an Entry Level Data Mining professional often involves cleaning and organizing raw data, running exploratory analyses, and assisting in building models or algorithms under the guidance of senior team members. Collaboration with data analysts, engineers, and business teams is common, as you may be responsible for preparing reports or visualizations that help inform decision-making. You may also spend time learning new data mining techniques or tools to enhance your efficiency and broaden your skill set. The role offers a mix of technical tasks and teamwork, making it a great opportunity for those eager to grow within the field of data science.

What are the key skills and qualifications needed to thrive in the Entry Level Data Mining position, and why are they important?

To thrive as an Entry Level Data Mining professional, a solid understanding of statistics, basic programming (such as Python or R), and data analysis is typically required, often backed by a degree in computer science, mathematics, or a related field. Familiarity with data mining tools like Weka, RapidMiner, or SQL databases is beneficial, and certifications in analytics or data science can enhance your prospects. Strong attention to detail, analytical thinking, and effective communication are important soft skills for collaborating and conveying findings to non-technical stakeholders. These competencies ensure accurate data extraction, meaningful insights, and successful teamwork essential for effective contributions in data-driven environments.

Is 40 too late for data science?

Entry level data mining roles are accessible at any age, including at 40, especially if you develop relevant skills such as SQL, Python, and data analysis. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training programs.

Will data mining be replaced by AI?

Data mining as a job involves extracting useful patterns from large datasets, and AI tools are increasingly automating parts of this process. However, human expertise is still essential for interpreting results, designing algorithms, and ensuring data quality, so data mining roles are likely to evolve rather than be fully replaced by AI.

How to get started in data mining?

To start a career in data mining, develop skills in programming languages like Python or R, learn database query languages such as SQL, and understand data analysis and machine learning concepts. Gaining experience through online courses, certifications, or internships can also help build practical knowledge in data extraction and analysis tools.
What are the most commonly searched types of Data Mining jobs in Seattle, WA? The most popular types of Data Mining jobs in Seattle, WA are:
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What job categories do people searching Entry Level Data Mining jobs in Seattle, WA look for? The top searched job categories for Entry Level Data Mining jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Entry Level Data Mining jobs? Cities near Seattle, WA with the most Entry Level Data Mining job openings:
Entry Level Data Mining jobs near you
Infographic showing various Entry Level Data Mining job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $79,661 per year, or $38.3 per hour.
Finance Transformation - Anaplan Consultant, Senior Associate

Finance Transformation - Anaplan Consultant, Senior Associate

Pwc

Seattle, WA

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Finance

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Finance Transformation - Anaplan Consultant, Senior Associate, you will engage with CEOs, CFOs, controllers, and treasurers to optimize finance functions and enhance their contribution to the business. Within our Finance practice, you will address challenges related to control standards, back-office efficiency, and business support through insightful analysis and strategic recommendations. In this role, you will help clients align financial planning, consolidation, reporting, and analytics processes to drive informed decision-making.
As a Senior Associate, you will leverage your skills to analyze complex problems and manage workstreams effectively. You will focus on building meaningful client relationships and developing a deeper understanding of the business context. You are expected to anticipate the needs of your teams and clients, navigating ambiguity to deliver quality outcomes. By mentoring Associates and other junior team members, you will foster a collaborative environment that encourages growth and development.
In this role, you will utilize a broad range of tools and methodologies to extract insights from industry trends, enhancing your personal brand and technical skills. You will be part of a dynamic team that values straightforward communication and ethical business conduct, contributing to the firm's overall strategies and success.
Responsibilities
- Collaborating with finance leaders to optimize financial planning and reporting processes
- Utilizing Anaplan to develop and implement enterprise performance management solutions
- Conducting complex data analysis to provide actionable business insights
- Supporting the alignment of financial systems and processes to enhance decision-making
- Leading the development of financial models and forecasts to drive strategic initiatives
- Engaging in financial data mining to identify trends and opportunities for cost reduction
- Developing and maintaining data visualization tools to improve financial reporting
- Reviewing and refining financial statements to validate accuracy and relevance
- Mentoring junior team members in financial management and analysis techniques
- Upholding ethical standards and business conduct in all client interactions
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Finance, Risk Management/Insurance
- Demonstrating proficiency in Anaplan and financial modeling
- Utilizing data visualization software for insightful financial analysis
- Excelling in complex data analysis and financial forecasting
- Developing and optimizing financial planning and budgeting processes
- Embracing change and demonstrating intellectual curiosity in dynamic environments
- Building meaningful client connections through effective communication and teamwork

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. 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.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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