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Python Analyst Jobs in Philadelphia, PA (NOW HIRING)

Software Engineer II Python

Wilmington, DE · On-site

  • Medical

  • Retirement

As a Lead Software Engineer at JPMorgan Chase within the Chief Data and Analytics Office, you are ... Advanced proficiency in Python software engineering skills * Demonstrated experience leading ...

Data analyst

Wilmington, DE · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Familiarity with Python, R, or data automation tools. * Experience working in an Agile/Scrum environment. Technical Skills Must Have * SQL * Data Analysis & Data Profiling * Reference Data Management ...

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Data Analyst

Philadelphia, PA · On-site

$65K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience using analytical tools such as Excel and scripting or statistical languages (e.g., Python, R). * Ability to communicate analytical findings clearly to both technical and non-technical ...

Lead GIS Analyst

Philadelphia, PA · On-site

  • Medical

  • Retirement

  • PTO

The Lead GIS Analyst will also publish web maps, design workflows, and build geo-processing tools/scripts using Python. The analyst will take on projects to extract, evaluate, and visualize spatial ...

Data Analyst

Philadelphia, PA · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience using Python for analysis and data wrangling * Experience in data cleaning, validation, and exploratory analysis using large, complex datasets * Understanding of analytical methods ...

Work to develop and deploy raters utilizing Agile planning approaches, onto Python-based rating ... Strong analytical and problem solving skills * Work well both independently and as part of a team

Showing results 41-60

Python Analyst information

See Philadelphia, PA salary details

$34.3K

$83.4K

$137.2K

How much do python analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for python analyst in Philadelphia, PA is $83,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

What is a Python analyst?

A Python Analyst is a professional who uses Python to analyze data, build models, and automate tasks. They work with large datasets, extract insights, and create reports to support decision-making. Their role often involves data cleaning, visualization, statistical analysis, and scripting for process automation. Python Analysts are commonly found in industries such as finance, healthcare, marketing, and technology. Strong analytical skills, programming expertise, and knowledge of data analysis libraries like Pandas and NumPy are essential for this role.

What are the typical daily responsibilities of a Python analyst?

Python Analysts spend their days gathering, cleaning, and analyzing large datasets to uncover actionable insights for their organizations. They write and maintain Python scripts to automate repetitive tasks and use data visualization tools to present their findings to stakeholders. Collaboration with data scientists, business analysts, and IT team members is common, as analysts work to translate data into meaningful recommendations. You'll also regularly validate data quality, troubleshoot code, and stay current with best practices in data analytics. This role offers a dynamic mix of technical work and cross-functional teamwork.

What are the key skills and qualifications needed to thrive in the Python analyst position, and why are they important?

To thrive as a Python Analyst, you need strong proficiency in Python programming, data analysis, and statistical methods, often supported by a degree in computer science, mathematics, or a related field. Experience with data visualization tools, SQL databases, and certifications such as Microsoft Certified: Data Analyst Associate or relevant Python credentials are highly beneficial. Excellent problem-solving skills, attention to detail, and effective communication help set top candidates apart. These skills ensure the accurate analysis and presentation of data, enabling informed decision-making and collaboration within organizations.

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

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

What job categories do people searching Python Analyst jobs in Philadelphia, PA look for?

The top searched job categories for Python Analyst jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Python Analyst jobs?

Cities near Philadelphia, PA with the most Python Analyst job openings:

Infographic showing various Python Analyst job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 11% Part Time, 1% Temporary, and 7% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution, with an average salary of $83,391 per year, or $40.1 per hour.

Data Analyst - Network & Firewall Analytics

Fixity Technologies LLC

Mount Laurel, NJ • On-site

Full-time

Re-posted 9 days ago


Job description

Must Have Technical/Functional Skills

•  3+ years of experience as a Network Engineer, followed by experience as a Data Analyst or Security Analyst.

•  Strong understanding of networking fundamentals (TCP/IP, NAT, routing, ports, protocols).

•  Hands on experience analyzing firewall logs and network traffic.

•  Proficiency in SQL and at least one scripting language (Python preferred).

•  Experience with SIEM tools (Splunk, Sentinel, Elastic, etc.).

•  Ability to interpret large datasets and identify anomalies or trends.

•  Strong communication skills and the ability to translate technical findings into business insights

Roles & Responsibilities

•  Analyze firewall logs, network traffic, and security events to identify anomalies, trends, and potential risks.

•  Apply your network engineering knowledge to interpret patterns related to routing, NAT, ACLs, and firewall rule behavior.

•  Investigate spikes in blocked traffic, unusual outbound connections, repeated failed attempts, and other suspicious activity.

Support troubleshooting.

•  Build dashboards and automated reports covering:

•  Present findings to both technical and non technical stakeholders.

•  Develop KPIs and reporting frameworks to support ongoing monitoring and compliance.

•  Clean, normalize, and transform large volumes of log data from multiple sources.

•  Use SQL, Python, or similar tools to automate data extraction and analysis.

•  Work with SIEM platforms (Splunk, Sentinel, QRadar, Elastic, etc.) to build queries, alerts, and dashboards.

•  Collaborate with engineering teams to improve data quality and logging standards

Education

Engineering