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

Experience using SQL for healthcare data extraction and analysis. *Knowledge of healthcare claims ... Experience with SAS, Python, or R. *Knowledge of Medicare, Medicaid, and Commercial healthcare ...

New

Experience using SQL for healthcare data extraction and analysis. *Knowledge of healthcare claims ... Experience with SAS, Python, or R. *Knowledge of Medicare, Medicaid, and Commercial healthcare ...

New

Experience using SQL for healthcare data extraction and analysis. *Knowledge of healthcare claims ... Experience with SAS, Python, or R. *Knowledge of Medicare, Medicaid, and Commercial healthcare ...

New

Experience using SQL for healthcare data extraction and analysis. *Knowledge of healthcare claims ... Experience with SAS, Python, or R. *Knowledge of Medicare, Medicaid, and Commercial healthcare ...

New

Experience using SQL for healthcare data extraction and analysis. *Knowledge of healthcare claims ... Experience with SAS, Python, or R. *Knowledge of Medicare, Medicaid, and Commercial healthcare ...

New

Experience using SQL for healthcare data extraction and analysis. *Knowledge of healthcare claims ... Experience with SAS, Python, or R. *Knowledge of Medicare, Medicaid, and Commercial healthcare ...

New

Experience using SQL for healthcare data extraction and analysis. *Knowledge of healthcare claims ... Experience with SAS, Python, or R. *Knowledge of Medicare, Medicaid, and Commercial healthcare ...

New

Experience using SQL for healthcare data extraction and analysis. *Knowledge of healthcare claims ... Experience with SAS, Python, or R. *Knowledge of Medicare, Medicaid, and Commercial healthcare ...

New

Experience using SQL for healthcare data extraction and analysis. *Knowledge of healthcare claims ... Experience with SAS, Python, or R. *Knowledge of Medicare, Medicaid, and Commercial healthcare ...

New

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 ...

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 ...

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 ...

Write SQL queries for data analysis * Perform data validation and reconciliation * Support KPI and trend reporting * Assist with ad-hoc analysis * Document reports and metrics Required Qualifications ...

We have an exciting opportunity to join our team as a Data Analyst. The Brooklyn Data Station at ... Strong quantitative and programming skills (i.e., R, Python, SQL, SAS). Proficiency with data ...

We have an exciting opportunity to join our team as a Data Analyst. The Brooklyn Data Station at ... Strong quantitative and programming skills (i.e., R, Python, SQL, SAS). Proficiency with data ...

Senior Python Developer

Jersey City, NJ · On-site

$125K - $130K/yr

... Python, SQL, and a background in enterprise-level platforms and data-driven solutions. Key ... Strong problem-solving and analytical skills Experience with big data technologies (e.g., Hadoop ...

Showing results 41-60

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 9, 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 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:

Full-time

Posted 2 days ago

New


Job description

We are seeking a HEDIS Data Analyst with experience in healthcare analytics, quality reporting, and data analysis. The ideal candidate will analyze healthcare data, support HEDIS reporting initiatives, validate quality measures, and provide insights to improve healthcare outcomes and performance.

Roles and Responsibilities

*Analyze and validate HEDIS data to support quality improvement initiatives.
*Interpret HEDIS technical specifications and NCQA reporting requirements.
*Develop and maintain reports, dashboards, and data extracts.
*Perform data analysis, validation, mining, and gap analysis.
*Analyze healthcare quality measures and identify trends and improvement opportunities.
*Collaborate with clinical, quality, and business teams to enhance HEDIS performance.
*Support HEDIS audits, regulatory reporting, and compliance activities.
*Document data analysis processes, methodologies, and findings.

Required Qualifications

*3+ years of experience in HEDIS reporting, healthcare analytics, or quality data analysis.
*Strong understanding of HEDIS measures and NCQA guidelines.
*Experience using SQL for healthcare data extraction and analysis.
*Knowledge of healthcare claims, enrollment, and provider data.
*Experience with reporting and visualization tools such as Tableau or Power BI.
*Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

*Experience with SAS, Python, or R.
*Knowledge of Medicare, Medicaid, and Commercial healthcare programs.
*Experience supporting HEDIS audits and healthcare quality improvement initiatives.

Education

*Bachelor’s degree in Healthcare Informatics, Statistics, Computer Science, Public Health, or a related field.