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Senior Python Data Analysis Jobs (NOW HIRING)

SRP Systems Inc

Senior Python/Spark developer

Princeton, NJ

$127K - $171K/yr

Good data analysis skills * Any experience with Spark or Hadoop is a plus In this position, you will work as a senior Python developer and also as a data analyst, which involves reviewing data in our ...

SRP Systems Inc

Senior Python/Spark developer

Princeton, NJ · On-site

$127K - $171K/yr

Good data analysis skills * Any experience with Spark or Hadoop is a plus In this position, you will work as a senior Python developer and also as a data analyst, which involves reviewing data in our ...

Palnar

Sr. Python Data Engineer

Mclean, VA · On-site

Python, Java, Spark, SQL, Databricks, RESTful APIs, AWS Glue, ECS S3 The role is to continue to ... This work involves building pipelines to get data into the platform, update drools based rules, and ...

Redolent, Inc.

Senior Python Developer

Jersey City, NJ · On-site

$126K - $170K/yr

... data analysis • 7yr+ Years of experience in Risk and pricing application development, will be plus • 7yr+ Years of experience in REST, ReactJS or FullStack development • Experience and exposure ...

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

As of Jul 24, 2026, the average yearly pay for senior python data analysis in the United States is $141,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $163,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Python Data Analyst, and why are they important?

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 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 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 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.
More about Senior Python Data Analysis jobs
What cities are hiring for Senior Python Data Analysis jobs? Cities with the most Senior Python Data Analysis job openings:
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Senior Python Data Analysis jobs near you
Infographic showing various Senior Python Data Analysis job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $141,976 per year, or $68.3 per hour.

Python Developer

Rootshell Enterprise Technologies, Inc.

Santa Clara, CA • On-site

$59 - $81.25/hr

Full-time

Posted 3 days ago

Job description

Title: Python developer III
Location: Sunnyvale, CA
Duration: Long Term
Duties: We are looking for a Senior Python Developer with Java skills to help us build and evolve our Data Management Platform.
Your primary focus will be the development of all server-side backend data processing logic, ensuring high performance and responsiveness to requests from the front-end / API requests.
Responsibilities:
* Writing reusable, testable and efficient code
* Design and implementation of low-latency, high-availability and performant applications
* Developing ETL processing in python as needed.
* Work with cross-functional teams to complete migration effort
* Develop Rest APIs using java libraries
Skills: Skills* 5+ years of experience working in an enterprise setting* Hands on experience with Flask or other Python frameworks* Experience writing Python applications that interact with ORM libraries* Good understanding of the threading limitations of Python and multi-process architecture* Ability to program in Java* Strong experience with SQL and data analysis* Knowledge of Kafka, EMS queues* Excellent team player and communicator who can work effectively with cross-functional
Required Skills:
PYTHON
DATA ANALYSIS
SQL
JAVA
FLASK
Additional Skills:
KAFKA
ETL
ORM
TEAM PLAYER
APACHE KAFKA
API
ARCHITECTURE
DATA MANAGEMENT
FRONT END
FRONT-END
REST

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