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Senior Python Data Analysis Jobs in New York (NOW HIRING)

Staffingine LLC

Python developers

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Senior Python Developer Job Location: Jersey City, NJ Job Type: Full-Time * Experienced Python ... Should also have a strong SQL background and have data engineering experience

Valueprosite

Python Quantitative Developer

Jersey City, NJ · Hybrid

$52.50 - $72.25/hr

... a Sr Python Developers with strong Python skills, analytical thinking, and financial/risk ... Platform & Data Engineering • Design and maintain high performance Python modules that serve as ...

BC Forward

Senior Python Developer

Jersey City, NJ · Hybrid

$68.25/hr

Application Programmer III (Senior Python Developer) Location: Jersey City, NJ Duration: Contract ... Design and develop solutions using multiple architectural components across data, application, and ...

Laboro

Python Developer

New York, NY

$55 - $75.75/hr

Description Laboro is seeking a talented MID_SENIOR Python Developer to join our dynamic ... Excellent problem-solving and analytical abilities * Effective communication and teamwork skills

Acunor Infotech

Data Product Analyst

Manhattan, NY · On-site +1

Strong SQL skills with working knowledge of Python * Experience with QA/UAT and data validation ... reporting and business analysis * Strong stakeholder communication and cross-functional ...

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Senior Python Data Analysis information

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.
What are the most commonly searched types of Python Data Analysis jobs in New York? The most popular types of Python Data Analysis jobs in New York are:
What are popular job titles related to Senior Python Data Analysis jobs in New York? For Senior Python Data Analysis jobs in New York, the most frequently searched job titles are:
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What cities in New York are hiring for Senior Python Data Analysis jobs? Cities in New York with the most Senior Python Data Analysis job openings:
Senior Python Data Analysis jobs near you

Senior Python Full Stack Developer

Futran Tech Solutions Pvt. Ltd.

Jersey City, NJ • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Title: Senior Python Full Stack Developer (50% React+50% Python)
Duration: 6+ Months of Contract with Possible Extension
Location: Jersey City ,New NJ(onsite from Day 1)
Details to be shared in Berribot Format and my Format
Roles and Responsibilities:
  • Lead development of front-end applications using React, ensuring scalability and performance
  • Design and build high-throughput backend APIs using Python and FastAPI
  • Own end-to-end feature delivery across UI, backend services, and data layers
  • Design and optimize SQL queries, including support for Text-to-SQL workflows
  • Integrate applications with analytics and data platforms such as Snowflake
  • Drive containerized deployments using Docker and support routing with Nginx
  • Apply and promote best practices for security, performance, and reliability
  • Mentor junior developers and participate in architectural and code reviews
  • Collaborate with product, DevOps, and data teams to shape technical solutions

Required Skills & Experience
  • 7+ years of professional full-stack development experience
  • Strong hands-on expertise with:
    • React (front-end development)
    • Python and FastAPI (backend services)
    • SQL and data integration
  • Experience deploying and operating containerized applications (Docker)
  • Experience working in cloud-hosted environments

Nice to Have
  • Experience with AWS EC2 or similar cloud infrastructure
  • Familiarity with CI/CD pipelines and DevOps practices
  • Experience supporting data-intensive or AI-enabled applications Jessica Jenkins Edward James

Apply