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

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 ...

SQL Developer

Manhattan, NY · On-site

$50 - $68.25/hr

... Python Secondary : - Java (no development is happening in Java. This is just to understand existing Java code base) Role Desc: Hands-on engineer who can - Analyze and optimize complex SQL code and ...

New

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 ...

Proficiency in SQL is required. * Strategic Mindset: An ability to see both the granular details ... Familiarity with Python or dbt is a plus; we value your ability to listen and learn new tools.

Data Analyst II

Fort Lee, NJ · On-site

$84K - $156K/yr

... big data analytics automation techniques and methods Business understanding Precedence and use ... SQL Oracle Apache Mahout MS Excel Python Statistical techniques for example mean mode median ...

Data Analyst II

Hackensack, NJ · On-site

$84K - $156K/yr

... big data analytics automation techniques and methods Business understanding Precedence and use ... SQL Oracle Apache Mahout MS Excel Python Statistical techniques for example mean mode median ...

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

Data Analyst II

Passaic, NJ · On-site

$84K - $156K/yr

... big data analytics automation techniques and methods Business understanding Precedence and use ... SQL Oracle Apache Mahout MS Excel Python Statistical techniques for example mean mode median ...

Data Analyst II

Clifton, NJ · On-site

$84K - $156K/yr

... big data analytics automation techniques and methods Business understanding Precedence and use ... SQL Oracle Apache Mahout MS Excel Python Statistical techniques for example mean mode median ...

Data Analyst II

Valley Stream, NY · On-site

$84K - $156K/yr

... big data analytics automation techniques and methods Business understanding Precedence and use ... SQL Oracle Apache Mahout MS Excel Python Statistical techniques for example mean mode median ...

Data Analyst II

Linden, NJ · On-site

$84K - $156K/yr

... big data analytics automation techniques and methods Business understanding Precedence and use ... SQL Oracle Apache Mahout MS Excel Python Statistical techniques for example mean mode median ...

Data Analyst II

Hempstead, NY · On-site

$84K - $156K/yr

... big data analytics automation techniques and methods Business understanding Precedence and use ... SQL Oracle Apache Mahout MS Excel Python Statistical techniques for example mean mode median ...

Data Analyst II

Hicksville, NY · On-site

$84K - $156K/yr

... big data analytics automation techniques and methods Business understanding Precedence and use ... SQL Oracle Apache Mahout MS Excel Python Statistical techniques for example mean mode median ...

Data Analyst II

Bronx, NY · On-site

$84K - $156K/yr

... big data analytics automation techniques and methods Business understanding Precedence and use ... SQL Oracle Apache Mahout MS Excel Python Statistical techniques for example mean mode median ...

Data Analyst II

Kearny, NJ · On-site

$84K - $156K/yr

... big data analytics automation techniques and methods Business understanding Precedence and use ... SQL Oracle Apache Mahout MS Excel Python Statistical techniques for example mean mode median ...

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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.

$100K - $125K/yr

Full-time

Posted 19 hours ago


Job description

Data Analyst / Modeler
Role Overview
This position targets a Data Analyst/ Modeler with a strong foundation in large-scale data processing. The role demands both depth (hands-on expertise) and breadth (end-to-end understanding) understanding of Data and Financial services product.
Note : While the profile is similar to both , for the modeler I would be focusing on data model creation while the data analyst will be less on modeling.
Experience Requirements
Requirement Details
Total Experience 5+ years in Data Analysis
Core Technical Skills
Programming Languages
• Python
Data Formats
• XML, JSON, Parquet, Avro, Protobuf Familiarity with multiple serialization/storage formats
️ Data & Query
• SQL Strong query building, analysis, troubleshooting, and optimization skills
Business Knowledge
• Financial Instruments Understanding of financial instruments especially Derivative products
• Data modeling Understanding of data modeling for Journals and accounting will be a good skill
AI & Productivity Tools
• Ability to leverage AI tools (e.g., GitHub Copilot, ChatGPT or equivalent) to accelerate data queries , reporting and analysis
Non-Technical / Soft Skills
Skill Area Description
Performance Engineering Analysis, troubleshooting, and resolution of system performance issues
Multi-tasking Ability to work under pressure in a fast-paced environment
Learning Agility Proactive, enthusiastic, willing to learn and apply new concepts quickly
Problem Solving Demonstrated analytical and structured problem-solving skills
Adaptability Dynamic, flexible, high energy
Salary Range: $100,000 to $125,000 per year