1

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

Senior Python Engineer (Backend) Job type: Full Time · Department: EPD · Work type: Hybrid · USD ... data automation. Our AI-driven platform leverages state-of-the-art generative AI and machine ...

New

We're looking for a Senior Backend Engineer who thrives in fast moving environments, enjoys solving ... data, and infrastructure teams Lead technical initiatives and contribute to architectural decision ...

Business Analyst

Manhattan, NY · On-site

$60 - $75/hr

Senior level Business Analysis skills (minimum 8 years of relevant experience) must be skilled in ... Knowledge of SQL/Python * Data analysis skills including experience with Data Mapping & Data ...

... data into reliable sales insights. We are early, moving fast, and building from zero to one, so ... You will build, evaluate, and deploy LLM-driven features like deep document analysis and ...

Application Programmer

Jersey City, NJ · On-site

$58.26 - $66.26/hr

Genesis10 is currently seeking a Senior Python Developer for a hybrid position with a Global ... Perform quantitative research and development, including domain-specific data analysis * Engage in ...

Manager, Data Analysis

Manhattan, NY · On-site

$179.70 - $205.10/hr

Manager, Data Analysis At Capital One, data is at the center of everything we do. When we launched ... At least 4 years of experience with Python, R, Spark or SQL * At least 1 year of experience in ...

New

Showing results 41-60

Senior Python Data Analysis information

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 New York?

The most popular types of Python Data Analysis jobs in New York are:

What job categories do people searching Senior Python Data Analysis jobs in New York look for?

The top searched job categories for Senior Python Data Analysis jobs in New York are:

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:

C13 Senior Python Backend Developers

TSR Consulting

Rutherford, NJ • On-site

Other

Posted 13 days ago


Job description

Job Title: C13 Senior Python Backend Developers Location: Rutherford, NJ Duration: Temp to Hire - 6 months Job ID: 406502 About TSR TSR is a trusted staffing and workforce solutions partner with more than 50 years of experience delivery highly qualified talent to support clients' most critical business and technology initiatives. Through a disciplined approach to sourcing, candidate vetting, and delivery, TSR helps organizations scale teams quickly while maintaining quality and reliability. TSR operates with a global delivery model, leveraging specialized teams to support enterprise clients across North America and beyond. In June 2024, TSR was acquired by Justin Christian, founder and CEO of BCforward, a global provider of professional services and workforce solutions. This partnership expands TSR's ability to deliver broader capabilities, global delivery resources, and enhanced opportunities for both clients and consultants. Job Description We are seeking a Senior Python Backend Developer to join our dynamic team. The ideal candidate will have strong experience in API-first Python services, microservices, and CI/CD and a proven ability to deliver reliable, test-driven backend systems at scale. Responsibilities: Design and develop Python-based microservices and RESTful APIs using FastAPI. Implement robust OOP/OOD patterns and ensure code quality through TDD. Build and maintain CI/CD pipelines, including deployment verification and issue remediation. Leverage AI-assisted development tools, review generated code, and improve consistency. Create and execute unit tests and test cases from JIRA stories and requirements. Monitor production systems, investigate alerts, and drive resolution using Splunk dashboards and searches. Collaborate with cross-functional teams to deliver secure, scalable services. Required Skills & Qualifications: Expert-level Python backend development with FastAPI and WSGI/ASGI servers such as Gunicorn. Proven experience building API-driven systems and microservices. Strong OOD/OOP skills and familiarity with Python virtual environments. Hands-on CI/CD pipeline experience, including deployment verification and troubleshooting. TDD mindset with the ability to write and maintain unit tests and interpret test cases. Proficiency with Git and GitHub; familiarity with GitFlow or GitOps practices. Experience with monitoring and alerting; ability to use tools such as Splunk for searches and dashboards. Comfort with artifact management tools such as Artifactory. 7+ years of backend engineering experience with complex, data-heavy systems. Preferred Skills: Exposure to AI/GenAI development tools, GitHub Copilot, LLM workflows, and code review of AI-generated outputs. Financial services or risk technology background. Experience processing large datasets and performance optimization in distributed systems. Familiarity with Agile practices and JIRA-driven delivery. Why TSR? At TSR, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. Candidate Profile Senior contributors who become productive within 1-2 weeks. Proactive, independent problem solvers with strong ownership. Backgrounds from financial services or other data-intensive domains are welcome. About Our Commitment TSR is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.