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Entry Level Forecasting Analyst Jobs in Seattle, WA

Responsibilities - Analyzing client needs to implement Oracle supply chain and operations software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Workforce Development Advisor

Seattle, WA · On-site

$51.88 - $77.82/hr

Analyze and track existing pre-hire activities and entry-level preparation programs, providing ... Forecast staffing needs, perform gap analysis and gather, analyze and report data. Analyze ...

Entry Level Forecasting Analyst information

See Seattle, WA salary details

$15

$31

$61

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

As of Aug 18, 2026, the average hourly pay for entry level forecasting analyst in Seattle, WA is $31.60, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $34.18 per hour, depending on experience, location, and employer.

What does an entry level forecasting analyst do?

An Entry Level Forecasting Analyst is responsible for analyzing data to predict future trends, such as sales, demand, or financial outcomes, to help organizations make informed business decisions. They use statistical models, data analysis tools, and historical information to develop accurate forecasts. These analysts often work closely with other departments to gather data, interpret results, and present findings in clear reports or presentations. This role typically serves as a starting point for a career in data analysis, business intelligence, or supply chain management.

What are the key skills and qualifications needed to thrive as an entry level forecasting analyst, and why are they important?

To thrive as an Entry Level Forecasting Analyst, you need strong analytical skills, a solid understanding of statistics, and a bachelor's degree in a quantitative field such as mathematics, economics, or data science. Familiarity with forecasting software, Excel, and data visualization tools like Tableau or Power BI is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These skills and qualities are important because they enable accurate predictions, informed decision-making, and clear communication of complex data findings.

What are some common challenges faced by entry level forecasting analysts, and how can new hires overcome them?

Entry level forecasting analysts often face challenges such as interpreting large datasets, understanding various forecasting models, and communicating complex findings to non-technical stakeholders. New hires can overcome these obstacles by actively seeking mentorship from experienced colleagues, participating in training sessions, and leveraging analytical tools to streamline their workflow. Building strong collaboration with team members in finance, operations, and sales also helps ensure forecasts are accurate and actionable.

What is the difference between Entry Level Forecasting Analyst vs Data Analyst?

AspectEntry Level Forecasting AnalystData Analyst
Required CredentialsBachelor's in Economics, Finance, or related field; basic Excel and statistical skillsBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentFinancial, retail, or manufacturing sectors focusing on sales, demand, or financial forecastingVarious industries including healthcare, marketing, finance, analyzing data trends and insights
Employer & Industry UsageUsed by companies needing demand predictions and financial planningUsed across industries for data analysis, reporting, and decision support

While both roles involve data analysis skills, the Entry Level Forecasting Analyst primarily focuses on predicting future trends using statistical models, often within finance or retail sectors. In contrast, Data Analysts handle broader data interpretation and reporting across various industries. The roles share foundational skills but differ in their specific focus and application.

What are the most commonly searched types of Forecasting Analyst jobs in Seattle, WA?

The most popular types of Forecasting Analyst jobs in Seattle, WA are:

What are popular job titles related to Entry Level Forecasting Analyst jobs in Seattle, WA?

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

What cities near Seattle, WA are hiring for Entry Level Forecasting Analyst jobs?

Cities near Seattle, WA with the most Entry Level Forecasting Analyst job openings:

Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate

Pwc

Seattle, WA • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Customer

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Management Consulting practice, you will focus on utilizing your skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Senior Associate, you will build meaningful client connections, learning how to manage and inspire others while navigating increasingly complex situations. You are expected to anticipate the needs of your teams and clients, delivering quality work and growing your personal brand.
In this role, you will be part of a dynamic team that leverages data to drive insights and make informed business decisions. You will have the opportunity to deepen your understanding of the business context and how it is evolving, using critical thinking to break down complex concepts. By interpreting data to inform insights and recommendations, you will contribute to optimizing client operations and achieving strategic goals. This position offers a chance to develop your skills and grow within a supportive environment, embracing increased ambiguity and using these moments as opportunities for personal and professional growth.
Responsibilities
- Leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making
- Utilizing skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems
- Building meaningful client connections and managing relationships to anticipate and address client needs
- Navigating complex situations to grow personal brand and deepen technical skills
- Developing and deploying scalable data visualization and analytics solutions using tools like Power BI and Tableau
- Conducting exploratory data analysis and predictive modeling to inform insights and recommendations
- Integrating data from various sources to enhance data quality and integrity
- Validating data security and compliance within analytics frameworks
- Creating dashboards and reports to communicate findings effectively to stakeholders
- Mentoring junior team members and guiding them in the use of data analysis tools and methodologies
What You Must Have
- At least a Bachelor's degree
- At least 3 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 analysis and visualization tools
- Utilizing advanced skills in predictive analytics and machine learning
- Excelling in customer analytics and forecasting methodologies
- Navigating complex data environments with ease
- Building meaningful client relationships through effective communication

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.

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