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Advanced Analytics Jobs in Seattle, WA (NOW HIRING)

PACCAR

Data Scientist

Renton, WA

$104K - $146K/yr

This position is a part of the Advanced Analytics team, a collaborative group who create Analytics solutions with AI and Machine Learning for any department in the PACCAR Parts Division. As a member ...

PACCAR

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

This position is a part of the Advanced Analytics team, a collaborative group who create Analytics solutions with AI and Machine Learning for any department in the PACCAR Parts Division. As a member ...

PACCAR

Data Scientist

Renton, WA

$104K - $146K/yr

This position is a part of the Advanced Analytics team, a collaborative group who create Analytics solutions with AI and Machine Learning for any department in the PACCAR Parts Division. As a member ...

krg technology inc

SQL Developer

Redmond, WA

$50.75 - $69.50/hr

Contract To support SQL Server Engineering efforts around performance engineering for SQL v.next with focus on data warehousing, analytics and advanced analytics. Required: 1. 5-6 years of experience ...

Pwc

Data Strategy-Manager

Seattle, WA · On-site

$99K - $232K/yr

They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical ...

SEI

Data and Analytics Consultant

Seattle, WA · On-site

Advanced Analytics * Data Visualization The ideal candidate's experience may include but is not limited to the following: * Have experience understanding and solving real business problems * Have ...

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All JobsAdvanced Analytics JobsAdvanced Analytics Jobs in Seattle, WA

Advanced Analytics information

See Seattle, WA salary details

$73.4K

$142.7K

$203.8K

How much do advanced analytics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for advanced analytics in Seattle, WA is $142,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,900.00 and $169,700.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of an advanced analytics professional?

An Advanced Analytics professional frequently works with large datasets to collect, clean, and analyze data, uncovering trends and patterns that can drive business decisions. Daily tasks often include developing predictive models, generating dashboards or reports, and collaborating with business units to understand their analytical needs. You may also participate in team meetings to share insights, adjust project priorities, or brainstorm new analytical approaches. This dynamic role combines technical analysis with strategic communication, providing opportunities to have a measurable impact on your organization's goals.

What is an advanced analytics?

An Advanced Analytics job involves using data science, machine learning, and statistical techniques to analyze complex data and generate insights that drive business decisions. Professionals in this role work with large datasets, develop predictive models, and create data-driven strategies to optimize operations, marketing, or other business areas. They often use tools like Python, R, SQL, and cloud platforms to process and visualize data. This role requires strong analytical thinking, problem-solving skills, and the ability to translate technical findings into actionable recommendations.

What are the key skills and qualifications needed to thrive in the advanced analytics position, and why are they important?

To thrive in Advanced Analytics, you need a strong background in statistics, data modeling, and quantitative analysis, often backed by a degree in mathematics, statistics, computer science, or a related field. Expertise with analytics tools such as Python, R, SQL, data visualization platforms (e.g., Tableau, Power BI), and certifications like Certified Analytics Professional (CAP) are highly valued. Strong problem-solving skills, effective communication, and the ability to translate complex data insights for non-technical stakeholders are essential soft skills. These competencies enable professionals to extract actionable insights, drive business strategies, and communicate findings to influence decision-making in organizations.

What are popular job titles related to Advanced Analytics jobs in Seattle, WA? For Advanced Analytics jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Advanced Analytics jobs in Seattle, WA look for? The top searched job categories for Advanced Analytics jobs in Seattle, WA are:
Advanced Analytics jobs near you
Infographic showing various Advanced Analytics job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $142,705 per year, or $68.6 per hour.

Front Office Strategy Consulting - PLS Customer Analytics - Manager

PwC

Seattle, WA • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

25th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Customer

Management Level

Manager

Job Description & Summary

The Opportunity
As a Manager in Front Office Strategy Consulting within our Customer Analytics practice, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will utilize skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
In this role at PwC, you will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. You will partner with team leadership to validate collective ownership of quality, timelines, and deliverables. Embracing technology and innovation, you will enhance your delivery and encourage others to do the same, fostering a culture of continuous improvement and innovation.
Responsibilities
- Leading data analysis initiatives to extract insights and drive data-driven decision-making for clients
- Utilizing advanced analytics techniques to optimize client operations and achieve strategic goals
- Managing and mentoring teams to leverage their strengths and deliver quality outcomes
- Developing and implementing data manipulation, visualization, and statistical modeling strategies
- Building and maintaining data pipelines and confirming data integrity and security
- Creating and deploying scalable data visualization and analytics solutions using tools like Power BI and Tableau
- Conducting complex data analysis and predictive modeling to support client needs
- Collaborating with client leadership to identify opportunities for data-driven improvements
- Encouraging innovation and embracing technology to enhance project delivery
- Addressing conflicts and engaging in critical conversations with stakeholders to maintain project alignment
What You Must Have
- At least a Bachelor's degree
- At least 5 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating proficiency in data visualization tools like Tableau
- Utilizing advanced data analytics techniques for customer insights
- Excelling in complex data analysis and predictive modeling
- Leading teams in strategic planning and execution
- Embracing technology and innovation in client solutions

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. 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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