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Python Analyst Jobs in Philadelphia, PA (NOW HIRING)

As an experienced Java/Python AWS Developer you will have the ability to share new ideas and ... Analyze, monitor, and address performance, reliability, and scalability challenges in complex ...

As an experienced Java/Python AWS Analyst you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an ...

You will leverage SQL, Python, AWS, and modern analytics technologies to build scalable data products, automate reporting processes, and deliver actionable insights that support regulatory oversight ...

You will leverage SQL, Python, AWS, and modern analytics technologies to build scalable data products, automate reporting processes, and deliver actionable insights that support regulatory oversight ...

Identify, analyze and resolve technical issues and bugs across the application stack. Create and ... Required Skills (Must Have) Python programming includes experience with various frameworks and ...

... Cloud, Analytics (SMAC) and DevOps. USM, a US ensured Minority Business Enterprise (MBE) is ... Perl /Python scripter Location: Oaks, PA Duration: Long Term Administrative knowledge of BMC ...

As an experienced Java/Python AWS Developer you will have the ability to share new ideas and ... Analyze, monitor, and address performance, reliability, and scalability challenges in complex ...

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

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

Apply Early

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

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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 Jul 7, 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 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 is a Python Analyst job?

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 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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 75% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $83,391 per year, or $40.1 per hour.

Python Data Engineering with Agentic AI or Declarative Agentic Framework (DAF)

SANS

Philadelphia, PA • On-site

$75/hr

Other

Posted 2 days ago


Job description

Note: Only candidates with 10+ years working in USA companies will be considered.
Please do not send your resume if you do not have 10 or more years of working in USA for name brand companies and at least 2 experience contracts at investment banks or investment managers.


$75/hour corp to corp for Python Data Integration Consultant with AI Declarative Agentic Framework (DAF)


Kindly send this job description to any of your friends who can work this job located in Philadelphia, PA for 1 day a week in the office and 4 days work from home, Job Title - Python Data Integration Consultant
Location - Philadelphia, PA (hybrid)
Duration - 6+- 12+ Months
Hybrid - one time per week in the office and 4 days from home
Pay: $600/professional day only C2C or $75/hour corp to corp
The Engagement:
Client is placing a senior data integration consultant embedded at a financial services client. The consultant works onsite as part of the client's data engineering effort, integrating the client's systems and data sources with Client's Declarative Agentic Framework (DAF) and connected products.
This is delivery work, not advisory. The consultant owns the data pipelines, warehouse structures, and integration points that the deployment depends on, and is accountable for data quality and reliability in production.
What the Consultant Will Do

  • Design and build data integration pipelines connecting client source systems (reference data, pricing, transaction, custody, or similar) to client's AI's platform.
  • Own data warehouse and data lake architecture for the engagement, including ingestion, transformation, and data quality rules.
  • Work hands-on with ETL tooling (Informatica, Snowflake, or equivalent) and cloud data platforms (AWS or Azure).
  • Write production-grade Python for data processing and integration between on-prem and cloud systems.
  • Define data reconciliation and data lineage processes so the client can trust what the pipelines produce.
  • Coordinate with the client's data engineering, ops, and compliance stakeholders, and with client's AI's deployment team.
  • Document architecture decisions and integration patterns so the work is defensible and repeatable across future deployments.

Required Background

  • 10+ years in enterprise data architecture, data engineering, or solution architecture roles.
  • Direct experience in financial services, ideally capital markets, asset management, or securities operations. Candidate should recognize terms like reference data, corporate actions, and reconciliation without explanation.
  • Hands-on ETL and data warehousing expertise: Informatica, Snowflake, or comparable enterprise-grade tooling.
  • Production Python for data pipelines and integration work, not scripting on the side.
  • Experience with REST APIs, message queues (Kafka or similar), and containerized deployments (Docker).
  • Track record owning delivery end to end, from data analysis and architecture through production support, ideally with distributed or offshore team coordination.
  • Comfortable being the senior technical presence in the room with client stakeholders from day one. No ramp-up period.