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

BC Forward

Senior Python Developer

Jersey City, NJ · On-site

$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

XFORIA Inc

Python Developer with GenAI

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Fulltime Summary We are seeking an experienced Senior Python Engineer to design, build, and ... data, and quality standards Required Qualifications Bachelor's degree in Computer Science ...

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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:
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:
Senior Python Data Analysis jobs near you

Senior Python Developer + Data Engineer

Futran Tech Solutions Pvt. Ltd.

Manhattan, NY • On-site

$133K - $180K/yr

Full-time

Re-posted 19 days ago

Job description

Role: Senior Python Developer + Data Engineer (Snowflake knowledge)
Location: New York City, NY (3 days per week in the office)
Need really strong profile who has strong experience with Python, Azure and Data Engineering.
Project Description:
A global team of alternative investment managers passionate about delivering uncommon value to our investors and shareholders. With over 30 years of proven expertise across Private Equity, Credit and Real Estate, regions and industries, we're known for our integrated businesses, our strong investment performance, our value-oriented philosophy - and our people.
We are seeking hands on Data Engineer consultants to build out the next generation data warehouse/mess for the organization. To solve the data availability and access issues of all data across the organization. Enabling a graph of connectivity between 100s of data sets. We need people that are enthusiastic about enabling internal and external clients by streamlining and facilitating easy access to their critical data that is well defined and has established transparent levels of quality. This engineer will leverage our data platforms to achieve this, while providing critical input to extend data platform capabilities. Familiarity with ETL and Cloud Platform data pipeline solutions is critical, as is REST API authoring for data access.
Responsibilities:
• Member of the Business Date Engineering team, work to deliver Data Ingest/Enrich Pipelines, and Access APIs using common cloud technologies.
• Work with consumers to understand the data requirements and deliver data contracts with well defined SLIs to track SLA agreements.
• Harness modern application best practices with code quality, API test Coverages, Agile Development, DevOps, and Observability and support.
• Maintain programming standards and ensure the usage of the pattern / template for API Proxy.
• Conduct code reviews and automatic test coverage
• Standardize the CI/CD setup for API management tools and automated deployment.
• Utilize problem-solving skills to help your peers in the research and selection of tools, products, and frameworks (which is vital to support business initiatives)
Mandatory Skills Description:
• Data Engineer highly proficient in Python development with 6+ years of ETL development experience with Azure cloud-based experience.
• Can demonstrate the use of modular configurable reusable components, with logging, exception handling and rejection management.
• Strong Python development skills (rest API, and also for connections, encryption-decryption, managing data and storaging data purposes)
• Solid understanding of API and integration design principles and pattern experience with web technologies.
• Design object-oriented, modularized, clean, and maintainable code and creating policies in Python.
• Hands-on experience in designing and developing high-volume REST using API Protocols and Data Formats.
• Experience with test-driven development and API testing automation.
• Understanding of Data Warehouse Concepts such as Real-time Data Ingestion, Data Modeling, Dimensional Modeling, Denormalized Data structures, etc.
• Good exposure to the Azure cloud platform, and knowledge of its key components e.g., Azure Blob Storage, Azure Data Factory, etc.
• Clear understanding of Code testing, e.g., regression, performance & automated tests.
• Implemented ETL solutions in Snowflake, with knowledge of DB components and its DR capabilities.
• Exposed to scripting languages e.g., Shell scripts for data transfers, automated deployments, etc.
• Managed automated deployments using Source code Control & DevOps tools.
• Knowledge of Cloud Security features and their adoption in the Cloud environment and application development.
• Bachelor's degree in IT
Nice-to-Have Skills:
• Financial experience: Public and Alternatives Asset Management
• Familiar in NoSQLNewSQL databases
• Working with Azure API and DB Platforms
• Strong documentation capability and adherence to testing and release management standards
• Design, development, modification, and testing of databases designed to support Data Warehousing and BI business teams
• Familiarity with SDLC methodologies, and defect tracking (JIRA, Azure DevOps, ServiceNow, etc.)

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