ZipRecruiter

Log In

1

Senior Python Data Analysis Jobs (NOW HIRING)

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 ...

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 ...

LTM

Senior Data Engineer

Irving, TX

$101K - $138K/yr

Seeking a Senior Python Data Engineer with 3 to 5 years of experience skilled in Apache Spark and ... Write clean efficient and reusable Python code to support data engineering tasks * Analyze complex ...

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 ...

PETADATA

Senior Python Developer

Rollingwood, TX

$117K - $158K/yr

Senior Python Developer Experience: 15+ Years Location:TX (Onsite) Work type: C2C Visa Type: , H1B ... SQL for data analysis and querying * Linux/Unix environments * Shell scripting for automation

next page

Showing results 1-20

All JobsSenior Python Data Analysis Jobs

Senior Python Data Analysis information

See salary details

$55K

$142K

$195K

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

As of Jun 12, 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:
What are the most commonly searched types of Python Data Analysis jobs? The most popular types of Python Data Analysis jobs are:
What states have the most Senior Python Data Analysis jobs? States with the most job openings for Senior Python Data Analysis jobs include:
What job categories do people searching Senior Python Data Analysis jobs look for? The top searched job categories for Senior Python Data Analysis jobs are:
Senior Python Data Analysis jobs near you
Infographic showing various Senior Python Data Analysis job openings in the United States as of June 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.

Senior Python Data Engineer

Purple Drive Technologies

Dallas, TX • On-site

$120K - $161K/yr

Full-time

Posted 15 days ago

Job description

Overview:
Job Title
Senior Python Data Engineer
Location
Dallas, TX (Hybrid - 3 days/week onsite)
Experience
8-10 years total | 5+ years hands-on Python
Job Overview
We are looking for a Senior Python Data Engineer with strong experience in building enterprise-scale automation and data solutions. The ideal candidate will work closely with business stakeholders to convert manual workflows into robust, scalable, and fault-tolerant automated processes within complex data environments.
Key Responsibilities
  • Design, develop, and maintain Python-based automation solutions in enterprise environments
  • Automate business processes with focus on reliability, performance, and scalability
  • Build and optimize data pipelines integrating Python with SQL Server and Snowflake
  • Write efficient and optimized SQL queries, stored procedures, and performance tuning
  • Implement error handling, logging, scheduling, and monitoring for automation workflows
  • Integrate Python solutions with APIs, databases, and cloud services
  • Collaborate with business and technical teams to translate requirements into automation solutions
  • Follow best practices for version control, CI/CD, and secure deployments
Required Technical Skills
Primary Skills
  • Python (5+ years professional experience)
    • pandas, SQLAlchemy, requests, PyTest
    • Automation scripting, workflow orchestration
  • SQL Server
    • Advanced SQL queries, stored procedures, performance troubleshooting
  • Snowflake
    • Snowflake SQL
    • Data pipeline integration with Python
Secondary / Supporting Skills
  • Git-based version control
  • CI/CD pipelines (enterprise deployment practices)
  • Experience working in large-scale data environments
  • Strong debugging, performance optimization, and documentation skills
Nice to Have
  • Experience with AWS or hybrid cloud environments
  • Integrating Python automation with cloud-based services
  • Exposure to secure enterprise deployment models
Competencies
  • Digital Competency: Python
  • Strong problem-solving and analytical skills
  • Ability to work independently and in cross-functional teams
Work Model
  • Hybrid - 3 days per week onsite in Dallas, TX

Apply