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

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 ...

Kearny Bank

Data Analyst

Fairfield, NJ · On-site

$75K - $110K/yr

Analyze data using tools such as SQL and Power BI to identify patterns, trends, and opportunities ... Professional experience with Python for data analysis or data science preferred.Experience with ...

ays s.r.o.

Data Analyst

New York, NY · On-site +1

... Excel, SQL, and Python - Experience with data visualization tools such as Tableau or Power BI - Strong analytical and problem-solving skills - Excellent communication and presentation skills ...

1stdibs.com

Data Analyst

New York, NY

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.

World Insurance Associates LLC

Data Analyst

Iselin, NJ · On-site +1

$95K - $110K/yr

Develop and maintain SQL queries, Python scripts, and BI dashboards to automate recurring reporting and analytics tasks. * Ensure data integrity across systems and proactively identify discrepancies ...

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 Powered by JazzHR Z8TdorkT0r

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

tignovate

Data Analyst

Manhattan, NY

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 ...

Polymarket

Growth Data Analyst

New York, NY · On-site

Write SQL queries to pull, monitor, and QA core growth and acquisition metrics across the marketing ... Use Python to clean, transform, and analyze datasets that inform growth strategy and channel ...

Arsenault Inc

Data Analyst

New York, NY · Remote

As Arsenaults Data Analyst, youll play a leading role in helping us answer strategic business ... Strong background in SQL, some knowledge of Python or R a plus * Experienced creating dashboards ...

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

Data Analyst Python Sql information

See Manhattan, NY salary details

$37.5K

$91.2K

$150.1K

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

As of Aug 8, 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 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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

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.

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

Re-posted 9 days ago

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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