1

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

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 ...

Data Analyst II

Hoboken, 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

Newark, 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

East Orange, 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

Sayreville, 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

Elizabeth, 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

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

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 Powered by JazzHR Z8TdorkT0r

Data Analyst II

Yonkers, 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

Manhattan, 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

East Meadow, 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

Jersey City, 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

Brooklyn, 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

White Plains, 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

New Rochelle, 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

Queens, 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

Perth Amboy, 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

Hoboken, 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

Staten Island, 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

Bayonne, 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 ...

next page

Showing results 1-20

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.

What are popular job titles related to Data Analyst Python Sql jobs in New York? For Data Analyst Python Sql jobs in New York, the most frequently searched job titles are:
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.

Full-time

Re-posted 5 days ago


Job description

Description

We are seeking a highly motivated and detail-oriented Data Analyst to join our dynamic team. As a Data Analyst, you will play a pivotal role in transforming raw data into actionable insights that will drive strategic decisions and improve business outcomes. Your analytical expertise will allow you to interpret complex datasets, identify trends, and provide recommendations to stakeholders across various departments. You will be responsible for gathering, cleaning, and analyzing data from multiple sources, ensuring its accuracy and relevance. In this fast-paced environment, you will collaborate closely with cross-functional teams to understand their data needs and develop comprehensive reports and dashboards. Additionally, you will utilize statistical techniques to conduct deep-dive analyses, revealing patterns and correlations that may not be immediately apparent. The ideal candidate will have a profound passion for data and problem-solving, with a keen eye for detail and an ability to communicate findings clearly and effectively. If you are looking to make a significant impact through data-driven decision-making, we encourage you to apply for this exciting opportunity where innovation meets analytics.

Responsibilities
  • Collect, clean, and preprocess large datasets from various sources to ensure data integrity.
  • Analyze data using statistical methods to identify trends, patterns, and anomalies that provide actionable insights.
  • Create and maintain comprehensive dashboards and reports to track key performance indicators (KPIs).
  • Collaborate with cross-functional teams to understand their data needs and translate business requirements into analytical solutions.
  • Document processes and methodologies for data analysis and reporting to ensure consistency and accuracy.
  • Present findings and recommendations to stakeholders using data visualization techniques and clear narrative.
  • Stay updated with industry trends and best practices in data analytics to continually improve the analytical process.
Requirements
  • Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
  • Proven experience as a Data Analyst or in a similar role, with a strong portfolio demonstrating your analytical capabilities.
  • 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 narratives.
  • Solid understanding of statistical analysis techniques and methodologies.
  • Strong problem-solving skills with the ability to analyze complex data and present findings.
  • Excellent communication skills, both written and verbal, with a focus on translating data into actionable insights.