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Data Analyst Python Sql Jobs in New York (NOW HIRING)

Experience with oracle tools such as SQL Developer ,Toad. Understanding of security concepts and implementing Oracle data security. Experience in PROD issue analysis, troubleshooting , root cause ...

Experience with oracle tools such as SQL Developer ,Toad. Understanding of security concepts and implementing Oracle data security. Experience in PROD issue analysis, troubleshooting , root cause ...

Your Role: We're looking for a Data Analyst to help make Alpaca data-driven from the ground up. You ... Use SQL as your primary tool, with Python in a notebook environment like Jupyter when helpful, to ...

Data Analyst

New York, NY · On-site

$130K - $170K/yr

Data @ Clay We're looking for a Data Analyst to help make Clay data-driven from the ground up. You ... Use SQL as your primary tool, with Python or R in a notebook environment like Hex when helpful, to ...

PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights ... Strong Excel proficiency and experience in SQL is a plus * Experience using Python or other ...

Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks * Expertise using SQL to extract and transform data - advanced ...

Data Analyst

Whitestone, NY · On-site

$75K - $90K/yr

Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks * Expertise using SQL to extract and transform data - advanced ...

PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights ... Strong Excel proficiency and experience in SQL is a plus * Experience using Python or other ...

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

Data Analyst

New York, NY · On-site

$55 - $60/hr

Mandatory SQL skills for complex queries, joins, and reconciliation. * Familiarity with data analysis tools such as Excel and Python is preferred. * Exposure to ETL tools, data warehouses, APIs, and ...

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Data Analyst Python Sql information

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

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What job categories do people searching Data Analyst Python Sql jobs in New York look for? The top searched job categories for Data Analyst Python Sql jobs in New York are:
What cities in New York are hiring for Data Analyst Python Sql jobs? Cities in New York with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in New York as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.
Data-Intensive Python/SQL Developer with Machine Learning Experience (New York)

Data-Intensive Python/SQL Developer with Machine Learning Experience (New York)

The Cypress Group

Manhattan, NY • On-site

$55.50 - $76.25/hr

Full-time

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


Job description

Data-Intensive Python/SQL Developer with Machine Learning Experience

Job Title: Quant Developer (Python/SQL) with Machine Learning Transition

Location: Lower Manhattan, New York City

Employment Type: Full-time

Experience Level: 3+ Years

Salary: Up to $200k + Bonus

About Us:

Our client is a leading buy-side firm with a strong commitment to leveraging data-driven insights and machine learning to enhance investment decisions. Located in the heart of Lower Manhattan, we are a dynamic team of professionals dedicated to staying at the forefront of financial technology. Join us in our mission to drive excellence in data analysis and investment strategies.

Job Description:

Position Overview: We are seeking a talented and motivated Quant Developer with expertise in Python and SQL. This role will initially focus on quantitative development for the first six months, primarily building and optimizing financial data systems, particularly within fixed income. After this period, the role will transition into applying machine learning techniques to enhance data analysis and modeling capabilities.

Key Responsibilities:
  • Develop and maintain Python scripts and applications for data analysis, modeling, and visualization.
  • Build and optimize calculation engines for accounting and financial data, with a focus on fixed income datasets.
  • Collaborate with data engineers to streamline and enhance data pipelines, particularly those handling fixed income securities.
  • Utilize SQL to query and manipulate large datasets, ensuring data accuracy and integrity, with an emphasis on fixed income data structures.
  • Participate in the design and development of data-driven tools and dashboards for investment decision-making.
  • Work closely with portfolio managers and analysts to understand and address their data needs, particularly within fixed income investment strategies.
  • After six months, transition into implementing and optimizing machine learning models for financial data analysis.
  • Stay current with emerging trends and technologies in quantitative finance and machine learning.
Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Finance, or a related field.
  • Strong programming skills in Python, with experience in data manipulation libraries (e.g., Pandas, NumPy).
  • Proficiency in SQL for querying and managing large datasets.
  • Minimum 3+ years of experience in quantitative development within finance or a related domain.
  • Must have experience in fixed income, ideally loans, but not required.
  • Strong problem-solving skills and attention to detail.
  • Interest and foundational knowledge in machine learning, with the ability and desire to transition into ML work after the initial development phase (experience with Scikit-Learn, TensorFlow, or PyTorch is a plus).
  • Effective communication skills and ability to collaborate in a team-oriented environment.
  • Prior experience in the finance industry is preferred but not required.
  • 5 days a week, onsite in Lower Manhattan.
  • Collaborative and innovative work culture.
  • Competitive salary up to $200,000, with the potential for a performance-based bonus.
How to Apply:

If you are a skilled Python/SQL developer eager to start in a quant development role and transition into machine learning, we encourage you to apply by sending your resume and a cover letter detailing your relevant experience to nyjobs@cypressg.com.

Our client is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Note: Unfortunately, visa sponsorship is not available at this time.

Seniority level:

Associate

Employment type:

Full-time

Job function:

Engineering, Finance, and Information Technology

Industries:

Capital Markets and Financial Services

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