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

Cynet Systems

Data Analyst

Manhattan, 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 ...

Jetro / Restaurant Depot

Data Analyst

Whitestone, NY

$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 ...

Covetus, LLC

Data Analyst

Jersey City, NJ · On-site

Programming Languages • Python Data Formats • XML, JSON, Parquet, Avro, Protobuf - Familiarity with multiple serialization/storage formats Data & Query • SQL - Strong query building, analysis ...

Acunor Infotech

Data Product Analyst

Manhattan, NY · On-site +1

Strong SQL skills with working knowledge of Python * Experience with QA/UAT and data validation ... Experience with analytics reporting and business analysis * Strong stakeholder communication and ...

PitchBook Data

Data Analyst

New York, NY

$85K - $100K/yr

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 ...

New You Bariatric Group

Data Analyst

Roslyn Heights, NY · On-site

$38 - $43/hr

Write, optimize, and maintain complex SQL queries to extract, analyze, and validate data * Develop ... Direct experience with PowerBI, Python * Problem-Solving Skills * Ability to Work Independently

CYNET SYSTEMS

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 ...

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 ...

PitchBook Data

Data Analyst

New York, NY · On-site

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 ...

Forge Global

Senior Data Analyst

New York, NY

$98K - $100K/yr

Shape business strategy by using SQL, Python, and other analytics tools to analyze data, highlight opportunities, and provide insights that directly inform product and company direction. * Develop ...

Guru Schools

Data Analyst/Engineer

New York, NY · On-site

Strong SQL, Big data****Required** **NY/NJ locals who can go in person interviews.****Day 1 Onsite ... Python, shell, Spark programs • At least 5 years financial industry technology experience and ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Manhattan, NY

Data Analyst Python Sql information

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$37.5K

$91.2K

$150.1K

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

As of Jun 15, 2026, the average yearly pay for data analyst python sql in Manhattan, NY is $91,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $107,100.00 per year, depending on experience, location, and employer.

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.

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.

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 Manhattan, NY? For Data Analyst Python Sql jobs in Manhattan, NY, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Manhattan, NY look for? The top searched job categories for Data Analyst Python Sql jobs in Manhattan, NY are:
What cities near Manhattan, NY are hiring for Data Analyst Python Sql jobs? Cities near Manhattan, NY with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you

DB Developer, Snowflake, ETL, Migration, Data Modeling, PowerBI, Python, SQL 12+ Mths cont NYC

ZnA Inc

New York, NY • On-site

Contractor

Posted 15 days ago

Be an early applicant

Job description

Level 2 Role - MOR2JP00016359
 
DB/Analytics Developer, Snowflake, ETL, Migration, Data Modelling, Power BI, Python, SQL 12+ Mths cont NYC 
 
Work Location : NYC (Hybrid 3 Days a Week Onsite)
 
Duration: 12+ Months Contract
 
Description:
 
Database / Analytics Developer, Snowflake, Power BI  
 
Experience level: Senior/Advanced
 
Skill Set: Snowflake, Power BI, ETL, Data Modelling, Python, SQL
High-level problem scope: we have a heterogeneous set of multiple databases & datasets within same DB on-prem with each dataset having thousands or millions of records on daily basis. We are looking to migrate the data, through ETL pipeline, onto Snowflake on Cloud, in new staging and reporting data models and subsequently distributing that data on-demand & as scheduled to Power BI, Angular Dashboards, and other downstream consumer tools.
These roles are people having expertise in data modelling, analytics, and reporting using the above-mentioned technologies with little or no guidance. These are individual contributor roles for hands-on problem solvers to have a quick turnaround time on feedbacks and having the experience of solving integrated reporting of large volume of data from multiple databases.
  
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