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Entry Level Predictive Analytics Jobs (NOW HIRING)

Americanfidelity

Data Scientist

Oklahoma City, OK · Hybrid

... and predictive analytics. * Strong background in modeling large scale discrete, nonlinear or ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

American Fidelity

Data Scientist

Oklahoma City, OK · On-site

... and predictive analytics. * Strong background in modeling large scale discrete, nonlinear or ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

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 ...

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

As of Sep 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 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 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.

How to get into entry level predictive analytics?

To enter an entry-level predictive analytics role, develop skills in statistics, data analysis, and programming languages like Python or R. Gaining experience through internships, online courses, or certifications in tools such as SQL and machine learning can improve your prospects and prepare you for the job market.
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Entry Level Predictive Analytics jobs near you
Infographic showing various Entry Level Predictive Analytics job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 93% Full Time, 3% Part Time, and 2% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $33,341 per year, or $16 per hour.

Assoc Analyst, Data Analytics

Boca Raton, FL • On-site

Canon U.S.A., Inc.
Electronics and Appliance Stores • 10K+ employees
Learn more about Canon U.S.A., Inc.external

$54K - $81K/yr

Full-time

Posted 17 days ago

Canon U.S.A. rating

7.7

Company rating: 7.7 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

Job description

About the Role
Researches, plans, and evaluates the effectiveness of artificial intelligence models, automated systems, and data-driven methodologies through the rigorous review of detailed operational metrics. As an
entry-level professional working towards proficiency, this role utilizes professional education in data science or related technology fields to identify, analyze, and resolve technical bottlenecks while
interpreting company policies on data governance and AI ethics. The position operates under general instruction from managers regarding expected project outcomes, exercises good judgment in day-to-day
algorithmic evaluations, and typically reports to a Manager or a senior AI individual contributor when business needs dictate.
Responsible for providing strategic and tactical support to the organization by leveraging AI-powered data hygiene and automated matching tools to analyze, maintain, and cleanse complex data across
Oracle, Dun &Bradstreet, ZoomInfo, and Salesforce.com databases. Additionally, provides advanced analytical support to Canon Solutions America Sales Leadership and Branch Administration teams by
integrating machine learning models, predictive analytics, and intelligent forecasting platforms into territory analysis to optimize prospect viability scoring, establish territory equity, and drive data-backed quota development.
This role requires you to live within a reasonable commuting distance to Boca Raton, Fl so that you can adequately execute your job responsibilities.
Your Impact
-Data Management, Operations & AI Responsibilities
Performs data analysis with regard to client requests and develop rules/methodologies for effective data management.
Extracts, analyze, massage, cleanse and update data from Oracle, Dun & Bradstreet, ZoomInfo, Salesforce.com and CSA web site analytics on a routine basis.
Uses machine learning models to automatically detect, flag, and fix duplicate or corrupted records across Salesforce and Oracle.
Analysis and validation of new Prospect records entered by sales into Salesforce.com.
Implements AI algorithms to score and rank incoming prospect data from ZoomInfo and Dun & Bradstreet based on conversion potential.
Participates in ongoing decisions concerning data collections, methodology, best practices for ensuring accurate and clean data.
Effectively creates/runs reports and performs data extracts as requested by the business in a timely manner.
Employs generative AI tools to turn complex data extracts into plain-language summaries for company management.
Analyzes data with standard statistical methods, interpret results and present results to company management as requested.
Maintains data integration between Salesforce.com and Oracle applications.
Evaluates and maintains integrations between traditional databases and emerging AI data platforms to reduce manual work.
Liaison with 3rd party vendors like Dun & Bradstreet to analyze and maintain data worthiness.
Maintains Sales Territories, Hierarchies and Resources in appropriate systems.
Effectively analyze Sales Territories to help Market Leaders develop their sales coverage plan.
Leverages AI forecasting models to help market leaders build smarter sales coverage plans and spot market trends.
Accountable for maintaining a high level of customer service.
About You: The Skills & Expertise You Bring
- Bachelor's degree in a relevant field or equivalent experience required, plus 0 to 2 years of related experience.
- Have a strong knowledge of Microsoft Office, Excel, Access, and Power BI applications.
- Be detail oriented, articulate, and well-organized.
- Possess strong communication, troubleshooting and follow-up skills.
- Prefer knowledge of Oracle & Saleforce.com.
- Utilize project management and reporting skills to assist with departmental projects.
- Ability to meet strict deadlines and work effectively under pressure
- Exhibit a basic understanding of financial and accounting statements and concepts
- Must have the business acumen to work with technical and non-technical colleagues, sales personnel, various level of sales management and executive staff.
We are providing the anticipated base salary range for this role: $54,460-81,550 annually
Company Overview
About our Company -#CUSA
Workstyle Description
Hybrid - This position is full time and offers a hybrid work schedule requiring you to be in the office three days a week and an option to work from home the remainder of the week (unless a specific business need arises requiring in office attendance on other days). Note that work schedules and office reporting requirements may change from time to time based on business needs.
Posting Tags
#li-rb1 #pm19

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