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Entry Level Predictive Analytics Jobs (NOW HIRING)

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Luxury Real Estate Agent

New York, NY · On-site

$100K - $1M/yr

Predictive Analytics: Our AI identifies owner-record data to help our agents grow their listings ... showing and negotiating. * Entry Level Program: 2 year mentorship under a top producer

Snap Finance

Data Analyst I

West Valley City, UT · On-site

... is an entry-level analytics professional responsible for collecting, analyzing, and interpreting ... Knowledge of statistical analysis, A/B testing, or predictive analytics. * Experience working with ...

Effectus Partners, LLC

Technical Analyst

Miami, FL · Hybrid

Position: Entry Level Workplace Type: Hybrid Location: Miami, FL Are you passionate about ... and predictive analytics Compensation * Competitive salary, generous vacation policy, medical ...

Caterpillar

2027 Entry Level Pricing Analyst

Peoria, IL · On-site

... predictive analytics to drive business insights and continuous improvement. * Provide guidance for the execution of dynamic and differentiated pricing strategies. * Analysis, interpretation, and ...

CodersData LLC

Entry Level SAS Analyst

Glendale, CA · On-site

To manage a business in an intelligent way SAS is a software suite that gives you predictive analysis and keeps data secured. Job Responsibilities: * Develop procedures to full automated the ...

CodersData, LLC

Entry Level SAS Analyst

Glendale, CA · On-site

To manage a business in an intelligent way SAS is a software suite that gives you predictive analysis and keeps data secured. Job Responsibilities: * Develop procedures to full automated the ...

Hadronts

Entry Level Software Developer

Austin, TX

... Entry Level Software Developer Job Duties & Responsibilities Do you enjoy programming and ... Our team works closely with business analysts and predictive modelers in the design, development ...

Pepsico

Fleet Technician 3 (Entry Level)

Fairmont, WV · On-site

$22.50 - $30.25/hr

View our Job Preview Video Here's a bit more about what your job will be as an entry-level Fleet ... Uptake predictive analytics, TAAS, and more! * Leverage and grow your skills working on Pepsi ...

Pepsico

Fleet Technician 3 (Entry Level)

Kankakee, IL · On-site

$30/hr

View our Job Preview Video Here's a bit more about what your job will be as an entry-level Fleet ... Uptake predictive analytics, TAAS, and more! * Leverage and grow your skills working on Pepsi ...

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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 Jul 11, 2026, the average hourly pay for entry level predictive analytics in the United States is $16.03, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $16.59 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 job?

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, and why are they important?

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.
More about Entry Level Predictive Analytics jobs
What cities are hiring for Entry Level Predictive Analytics jobs? Cities with the most Entry Level Predictive Analytics job openings:
What are the most commonly searched types of Predictive Analytics jobs? The most popular types of Predictive Analytics jobs are:
What job categories do people searching Entry Level Predictive Analytics jobs look for? The top searched job categories for Entry Level Predictive Analytics jobs are:
Entry Level Predictive Analytics jobs near you
Infographic showing various Entry Level Predictive Analytics job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 1% Internship, 92% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $33,341 per year, or $16 per hour.
Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate

Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate

PwC

San Francisco, CA • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 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

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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