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Data Analyst Python Sql Jobs in Long Island, NY (NOW HIRING)

Gain America

Entry Level Data Analyst

Hicksville, NY · On-site

$70K/yr

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 ...

FalconX

Senior Data Analyst

New York, NY · On-site

$128K - $162K/yr

We're looking for a Senior Data Analyst to help shape the future of the Finance organization. In ... SQL or Python coursework or hands-on experience The base pay for this role is expected to be ...

MM International

Data Analyst - Remote

New York, NY · Remote

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 ...

The Walt Disney Company

Data Analyst

New York, NY

Strongproficiencyin SQL (especially Snowflake and/or Databricks) for manipulating large data sets ... Experience with Python and/or R for statistical analysis and model building. * Experience with ...

RIT Solutions, Inc.

Mortgage Senior Data Analyst

Manhattan, NY · On-site

$94K - $119K/yr

... SQL for data profiling and analysis • Experience with ETL, data warehouses, and data marts • Agile experience (Jira) • Mortgage domain experience (required) • Command-line and Python script ...

1stdibs.com

Data Analyst

New York, NY · On-site

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.

NGTalentTech Group LLC

Data Engineer - W2 Role

Manhattan, NY · On-site

$126K - $151K/yr

The ideal candidate should have strong hands-on experience with Python, SQL, ETL/ELT, AWS ... Perform data modeling and support analytics and reporting requirements. * Optimize SQL queries and ...

Good Apple

Data Analyst

New York, NY · On-site

Build dashboards and supporting SQL database setups for weekly, monthly, and quarterly reports and ... Programming experience, Python in particular, is a plus

GoodApple

Data Analyst

New York, NY · On-site

$69K - $85K/yr

Build dashboards and supporting SQL database setups for weekly, monthly, and quarterly reports and ... Programming experience, Python in particular, is a plus Additional Role Details Work Authorization:

tignovate

Data Analyst

Manhattan, NY · On-site

Proficient in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python). * Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual ...

Jose Merciline

Data Analyst (fulltime)

New York, NY · On-site +1

Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL ... Proficient in Python and statistical and analytical tools like R * Experience with automation tools ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Long Island, NY

Data Analyst Python Sql information

See Long Island, NY salary details

$34.6K

$84K

$138.3K

How much do data analyst python sql jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data analyst python sql in Long Island, NY is $84,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $98,600.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

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.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

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.

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 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.

What are popular job titles related to Data Analyst Python Sql jobs in Long Island, NY?

For Data Analyst Python Sql jobs in Long Island, NY, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Long Island, NY look for?

The top searched job categories for Data Analyst Python Sql jobs in Long Island, NY are:

What cities near Long Island, NY are hiring for Data Analyst Python Sql jobs?

Cities near Long Island, NY with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Long Island, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,042 per year, or $40.4 per hour.

Entry Level Data Analyst

Hicksville, NY • On-site

Gain America
51 - 200 employees
Learn more about Gain Americaexternal

$70K/yr

Contractor

Re-posted 21 days ago

Job description

Job description
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 Work, Problem Solver, Reliable, consistent, Attention to detail
Required Experience
Ability to learn and utlize Exploratory Data Analysis and Data Cleansing Ability to Write SQL Scripts for Data Warehousing Understanding and knowledge of Ad Hoc Business Analysis
Day to day work involves proficiency in using advanced computerized models to extract the data needed
Removing corrupted data and Performing initial analysis to assess the quality of the data
Performing further analysis to determine the meaning of the data
Performing final analysis to provide additional data screening
Preparing reports based on analysis and presenting to management

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