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Entry Level Predictive Analytics Jobs (NOW HIRING)

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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Entry Level Predictive Analytics information

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

As of Jun 16, 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 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 June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $33,341 per year, or $16 per hour.

Entry Level Business Analyst

Data Cloud Merge

Philadelphia, PA • On-site

Full-time

Posted 24 days ago

Job description

Company Description
Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.
Job Description
  • Work with the analytics team to develop an activity-based costing model for providing trends, forecasts, and cost-reducing actions.
  • Process flowcharts included requests for new processes or changes to existing processes and further creating and maintaining comprehensive project documentation.
  • Create and maintain reports/dashboards/data/metrics used to measure and ensure success.
  • Assist and produce standard reports, charts, graphs, and tables from a structured data source by querying data repositories using Python and SQL.
  • Validate Data to check for the proper conversion of the data. Data cleansing to identify unnecessary data and clean, data profiling for accuracy and consistency.

Qualifications
  • Masters or Bachelors in Information Systems, Engineering Management, Analytics, Computer Science, or related.
  • Proficient in managing the entire project life cycle including Data Acquisition, Data Preparation, Data Manipulation, Statistical Modelling, Testing and Validation, Visualization, and Reporting.
  • Solid understanding of statistical analysis, predictive analytics, machine learning, data mining, quantitative analytics, and optimization algorithms.
  • Advanced working SQL knowledge and experience working with relational databases and Python.

Additional Information
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