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Entry Level Statistics Jobs in Philadelphia, PA (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Philadelphia, PA · On-site

$99K - $232K/yr

... Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

PennEngineering

Cold Forming Operator

Danboro, PA · On-site

$16.25 - $19.75/hr

Completes paperwork and statistical process control (SPC) charts as necessary. * Detects and reports parts that are out of specification. * Perform routine machine maintenance, including adding oil ...

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All JobsStatistics JobsEntry Level Statistics JobsEntry Level Statistics Jobs in Philadelphia, PA

Entry Level Statistics information

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$10

$19

$27

How much do entry level statistics jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for entry level statistics in Philadelphia, PA is $19.23, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $21.59 per hour, depending on experience, location, and employer.

What is an entry level statistician?

Entry level statistics jobs are positions designed for individuals who are just starting their careers in data analysis and statistical fields. These roles typically involve tasks such as collecting, analyzing, and interpreting data, as well as creating reports and visualizations to support decision-making. Common job titles include statistical assistant, data analyst, or research assistant. Entry level positions usually require a bachelor’s degree in statistics, mathematics, or a related field, and proficiency in statistical software like Excel, R, or SPSS.

What types of projects or tasks can I expect to work on in an entry level statistics role?

In an entry-level statistics position, you can expect to work on tasks such as collecting, cleaning, and organizing data sets, performing basic statistical analyses like descriptive statistics or regression, and assisting in the preparation of reports or presentations. You may also support senior statisticians with experimental design, data visualization, and quality control checks. Collaboration with team members from departments like data science, research, or business analytics is common, and you'll often use statistical software such as R, SAS, or Python to carry out your work.

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

To thrive as an Entry Level Statistician, you need a solid background in mathematics, statistical analysis, and a relevant degree such as statistics, mathematics, or a related field. Familiarity with statistical software like R, SAS, SPSS, or Python is typically required, and knowledge of data visualization tools is a plus. Strong analytical thinking, attention to detail, and effective communication skills help you interpret and explain complex data findings to diverse audiences. These competencies are crucial for delivering accurate insights and supporting data-driven decision-making within organizations.

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

AspectEntry Level StatisticsData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentResearch, academia, entry-level corporate rolesBusiness, finance, healthcare, technology sectors
Employer UsageAcademic institutions, research organizations, entry-level corporate rolesCompanies analyzing data to inform decisions, reporting, and strategy

Entry Level Statistics and Data Analyst roles often require similar educational backgrounds, focusing on statistical and analytical skills. While Entry Level Statistics may lean more towards theoretical and research-oriented tasks, Data Analysts typically work directly with business data to generate insights. Both roles are common in various industries and serve as foundational positions for careers in data and analytics.

What are the most commonly searched types of Statistics jobs in Philadelphia, PA?

The most popular types of Statistics jobs in Philadelphia, PA are:

What are popular job titles related to Entry Level Statistics jobs in Philadelphia, PA?

For Entry Level Statistics jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Entry Level Statistics jobs in Philadelphia, PA look for?

The top searched job categories for Entry Level Statistics jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Entry Level Statistics jobs?

Cities near Philadelphia, PA with the most Entry Level Statistics job openings:

Entry Level Statistics jobs near you
Infographic showing various Entry Level Statistics job openings in Philadelphia, PA as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $39,989 per year, or $19.2 per hour.

Entry Level Business Analyst

Philadelphia, PA

Data Cloud Merge
See more jobs at Data Cloud Mergeexternal

Full-time

Re-posted 8 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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