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Senior Python Data Analysis Jobs in Parsippany, NJ

Integrate internal and external data sources such as financial data providers SEC filings web ... Work closely with product owners' business analysts architects cloud engineers governance teams and ...

Data Governance Senior Position Summary The Data Governance Senior is responsible for designing ... Python Strong analytical, communication, and stakeholder management skills Tools & Platforms AWS ...

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Senior Python Data Analysis information

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$55.3K

$142.8K

$196.1K

How much do senior python data analysis jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior python data analysis in Parsippany, NJ is $142,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,200.00 and $164,400.00 per year, depending on experience, location, and employer.

What is a senior Python data analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.

What are the key skills and qualifications needed to thrive as a senior Python data analyst?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What are some common challenges senior Python data analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are the most commonly searched types of Python Data Analysis jobs in Parsippany, NJ?

The most popular types of Python Data Analysis jobs in Parsippany, NJ are:

What are popular job titles related to Senior Python Data Analysis jobs in Parsippany, NJ?

For Senior Python Data Analysis jobs in Parsippany, NJ, the most frequently searched job titles are:

What job categories do people searching Senior Python Data Analysis jobs in Parsippany, NJ look for?

The top searched job categories for Senior Python Data Analysis jobs in Parsippany, NJ are:

Sr. Python Developer Lead (Fixed Income / Capital Markets)

Accord Technologies Inc.

New York, NY • On-site

$132K - $178K/yr

Contractor

Re-posted 8 days ago


Job description

Title: Sr. Python Developer / Lead (Fixed Income / Capital Markets)
Location: New York City, NY ( inperson interview)
Duration: long term
Position type: W2 contract.
This is a daily rate position and need inperson for 2nd round of interview. Locals needed.

 

Mandatory: Python Developer , Fixed income, Snowflake OR Databricks, Derivates, PyXLL, QuestDB, ArconTech,Databricks, Front Office Trading Desk
Need local resumes with Fixed Income / Capital Market experience.

Overview

·The candidate selected for this position will work in the IT Derivatives/Fixed Income team, focusing on the design and implementation of Python solutions for Front Office applications. These applications will utilize vendor software, includingPyXLL, QuestDB, ArconTech, and Databricks.

·Additionally, the role includes supporting existing applications to assist with the daily operations of the Front Office Trading Desk. This involves troubleshooting issues, optimizing performance, and implementing new features that align with business strategies.

·Active collaboration with quantitative analysts and traders is essential to ensure the applications meet their needs and enhance their productivity.

 Duties

  • Design, build, and configure Python applications according to business process and application requirements. This involves working closely with stakeholders to gather and analyze requirements.
  • The candidate will be expected to ensure the code is efficient, maintainable, and adheres to best practices.
  • Collaborate with multiple business teams, such as trading and quantitative analysts, to understand their workflows, challenges, and requirements. 
  • Regular meetings, feedback sessions, and iterative development cycles will be part of this collaborative effort.
  • Provide work estimates as required, including time, resources, and potential risks.
  • The candidate will be responsible for communicating these estimates to project managers and adjusting them as necessary throughout the development lifecycle.
  • Develop coding architecture for new applications and features. This task includes selecting appropriate design patterns, writing modular and reusable code, and documenting the architecture for future reference.
  • Maintain and enhance code quality using static and dynamic code analyses, security vulnerability scans, code coverage, and CI/CD pipeline gating. Regular code reviews, automated testing, and continuous integration practices will be integral to maintaining high code quality standards.
  • Participate in all phases of the software delivery lifecycle, from analysis through support. This means engaging in initial requirement gathering and analysis, contributing to design and development, performing testing and quality assurance, and providing post-deployment support.

 Required Skills

  • Experienced Python Developer
  • Experience with Python environment installation in Windows and Linux

 Preferred Skills

  • .NET, C#
  • REST API (including Enterprise Authentication and Authentication)
  • MS SQL Server and/or Sybase experience
  • Experience with supporting trading desks

 

Education

  • Bachelor’s degree in mathematics, Engineering, or Computer Science.