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Entry Level Python Analyst Jobs (NOW HIRING)

Starfish

Entry-Level Radar Engineer

Huntsville, AL

Torch Technologies is currently seeking an Entry-Level Radar Engineer to support the Tactical ... Develop and execute MATLAB and Python analysis scripts to evaluate signal processing algorithms, RF ...

T-Rex Solutions

CNO Developer 3

Hanover, MD

$200K - $250K/yr

Software Analysis/Reverse Engineering experience. * Understanding of assembly programming concepts ... Relevant industry standard certifications such as Certified Entry-Level Python Programmer (PCEP) or ...

T-Rex Solutions

CNO Developer 3

Hanover, MD · On-site

$200K - $250K/yr

Software Analysis/Reverse Engineering experience. * Understanding of assembly programming concepts ... Relevant industry standard certifications such as Certified Entry-Level Python Programmer (PCEP) or ...

T-Rex Solutions

CNO Developer 3

Hanover, MD

$200K - $250K/yr

Software Analysis/Reverse Engineering experience. * Understanding of assembly programming concepts ... Relevant industry standard certifications such as Certified Entry-Level Python Programmer (PCEP) or ...

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How much do entry level python analyst jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for entry level python analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level Python analyst?

To thrive as an Entry Level Python Analyst, you need a solid understanding of Python programming, data analysis basics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), SQL databases, and data visualization tools like Tableau or matplotlib is typically required. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data and present findings clearly. These skills and qualities are crucial for delivering accurate analyses, supporting business decisions, and collaborating effectively with team members.

What does an entry level Python analyst do?

An Entry Level Python Analyst is responsible for using Python programming to collect, analyze, and interpret data to help organizations make informed decisions. They often work with data sets, automate tasks, and create scripts or tools to streamline processes. Their work typically involves cleaning data, performing basic statistical analysis, and generating reports or visualizations. Entry level analysts may also assist in developing and testing software solutions or collaborate with senior analysts to solve business problems.

What are some typical projects or tasks that an entry level Python analyst might work on in their first year?

As an Entry Level Python Analyst, you can expect to work on tasks such as data cleaning, automating repetitive processes, creating basic data visualizations, and supporting more senior analysts with scripting and data manipulation. Common projects include assisting with the development of internal tools, writing scripts to extract or transform data, and generating reports for various business units. You’ll often collaborate closely with data scientists, engineers, and business analysts, making communication skills and teamwork important from the outset.

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

AspectEntry Level Python AnalystData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; Python skillsBachelor's in Statistics, Math, or related; Excel, SQL skills
Work EnvironmentTech companies, finance, healthcare; coding-focusedBusiness, marketing, finance; data interpretation
Employer & Industry UsageStartups, tech firms, data-driven industriesCorporations, consulting firms, various sectors
Common Search & ComparisonYesYes

Entry Level Python Analysts focus on coding and developing data solutions using Python, often in tech-driven environments. Data Analysts primarily interpret data using tools like Excel and SQL, with less emphasis on programming. Both roles require a bachelor's degree, but the Python Analyst role emphasizes programming skills, making it ideal for those interested in coding and data engineering.

What cities are hiring for Entry Level Python Analyst jobs? Cities with the most Entry Level Python Analyst job openings:
What are the most commonly searched types of Python Analyst jobs? The most popular types of Python Analyst jobs are:
What states have the most Entry Level Python Analyst jobs? States with the most job openings for Entry Level Python Analyst jobs include:
Entry Level Python Analyst jobs near you

Entry Level Business Analyst

Data Cloud Merge

Philadelphia, PA

Full-time

Re-posted 15 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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