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Entry Level Predictive Analytics Jobs in Happy Valley, OR

... and predictive analytics - Leveraging machine learning algorithms for business solutions ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Predictive Analytics information

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How much do entry level predictive analytics jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for entry level predictive analytics in Happy Valley, OR is $16.68, according to ZipRecruiter salary data. Most workers in this role earn between $12.98 and $17.26 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Predictive Analytics vs Data Analyst?

AspectEntry Level Predictive AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; familiarity with analytics toolsBachelor's in Data, Statistics, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentTech companies, finance, marketing; focus on predictive modelsVarious industries; focus on data reporting and insights
Employer & Industry UsageUsed in industries leveraging predictive modeling for decision-makingCommon across industries for data reporting and analysis

Entry Level Predictive Analytics roles focus on building models to forecast future trends, requiring knowledge of statistical modeling and machine learning. Data Analysts primarily interpret existing data to generate reports and insights. While both roles require similar educational backgrounds, predictive analytics emphasizes modeling skills, whereas data analysis centers on data interpretation and visualization.

What is an entry level predictive analytics?

An entry level predictive analytics job involves using statistical methods, data analysis, and machine learning techniques to make predictions about future events or trends based on historical data. People in this role typically collect, clean, and analyze data sets, build predictive models, and help organizations make data-driven decisions. Entry level positions often require familiarity with tools like Python, R, or SQL and a foundational understanding of statistics and data science concepts. These roles are ideal for recent graduates or those new to the analytics field looking to gain hands-on experience.

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

To thrive as an Entry Level Predictive Analytics professional, you should have a solid grounding in statistics, data analysis, and a relevant bachelor's degree such as mathematics, statistics, computer science, or a related field. Familiarity with data analysis tools like Python, R, SQL, and visualization platforms such as Tableau, along with basic knowledge of machine learning algorithms, is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help translate complex data findings into actionable insights. These skills and qualities are essential for driving accurate data-driven decision making and supporting business objectives through predictive models.

What typical projects or tasks can an entry level predictive analytics professional expect to work on during their first year?

As an Entry Level Predictive Analytics professional, you will likely work on tasks such as gathering and cleaning data, developing basic predictive models under supervision, and generating reports to communicate findings to team members. You may assist with exploratory data analysis, help automate routine analytics processes, and collaborate closely with data scientists, business analysts, and IT teams. These projects are designed to build your technical foundation, familiarize you with business data, and develop your ability to translate analytics into actionable insights.
What job categories do people searching Entry Level Predictive Analytics jobs in Happy Valley, OR look for? The top searched job categories for Entry Level Predictive Analytics jobs in Happy Valley, OR are:
Infographic showing various Entry Level Predictive Analytics job openings in Happy Valley, OR as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $34,684 per year, or $16.7 per hour.

Adobe Transformation - Senior Associate

Pwc

Portland, OR • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


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

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an Adobe Transformation - Senior Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Data and Analytics practice, you will focus on utilizing 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 and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity.
In this role, you will be part of a team that focuses on leveraging data to drive insights and make informed business decisions. You will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. This position offers the opportunity to develop a deeper understanding of the business context and how it is changing, while upholding professional and technical standards. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, contributing to the firm's overall business strategies.
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 learning how to manage and inspire others
- Navigating complex situations to grow personal brand and deepen technical skills
- Anticipating the needs of teams and clients to deliver quality outcomes
- Embracing ambiguity and using it as an opportunity for growth
- Responding effectively to diverse perspectives, needs, and feelings of others
- Using a broad range of tools, methodologies, and techniques to generate new ideas and solve problems
- Interpreting data to inform insights and recommendations
- Upholding and reinforcing professional and technical standards within client engagements
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, 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)
- Utilizing advanced data analysis techniques to drive insights
- Developing complex data models and predictive analytics
- Leveraging machine learning algorithms for business solutions
- Excelling in client relationship management and communication
- Demonstrating proficiency in data visualization tools like Tableau

Travel Requirements

Up to 40%

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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