1

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

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 ...

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.

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 ...

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

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 analytics automation techniques and methods Business understanding Precedence and use cases ... SQL Oracle Apache Mahout MS Excel Python Statistical techniques for example mean mode median ...

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 ...

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 ...

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 ...

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 ...

Data Analyst

New York, NY · On-site

$66K - $79K/yr

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 ...

Data Analyst

Manhattan, NY · On-site

$66K - $79K/yr

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 ...

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94K - $119K/yr

SQL, Python, BigData, Data Analytics As a Data Analyst, you will leverage machine learning and predictive analytics to solve high impact business challenges across Insider Intelligence. This role is ...

Data Analyst

New York, NY · On-site

$135K - $180K/yr

You have a strong understanding of SQL and have used it in complex data environments * You have a ... Google Cloud Platform (BigQuery), Metabase, Terraform, Python, DBT. Pay Transparency The estimated ...

Showing results 21-40

Data Analyst Python Sql information

See Brooklyn, NY salary details

$35.8K

$86.9K

$143K

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

As of Sep 2, 2026, the average yearly pay for data analyst python sql in Brooklyn, NY is $86,897.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $102,000.00 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 Brooklyn, NY?

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

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

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

Infographic showing various Data Analyst Python Sql job openings in Brooklyn, NY as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $86,897 per year, or $41.8 per hour.

Data Analyst (SQL Expertise)

United Hospital Fund

Manhattan, NY • On-site

$85K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Improving Health Care for Every New Yorker 

United Hospital Fund (UHF) is dedicated to creating an effective and equitable healthcare system for all New Yorkers. As an independent nonprofit, we analyze public policy, unite diverse stakeholders, and support innovative programs to improve health and healthcare. Our mission includes breaking down barriers in health policy and delivery to ensure equitable health opportunities. UHF’s emerging new line of Medicaid work seeks to achieve this vision by bridging and advancing quality and equity and supporting the delivery of health-related social needs (HRSN) screening and services.

About the Role:

We are seeking a technically-driven Data Analyst with expertise in SQL to architect and execute data transformations for our Medicaid initiatives. This role is not just about analyzing data—it’s about building the robust, scalable SQL infrastructure that translates complex claims and HRSN data into actionable insights. You will be responsible for turning "messy" administrative data into clean, analysis-ready datasets that drive health equity for all New Yorkers.

Key Responsibilities:

  • Advanced SQL Development: Architect complex SQL queries and stored procedures to perform high-volume data cleaning, transformation, and aggregation. You will help build and maintain the department’s primary codebase, ensuring efficiency when working with millions of records.
  • Data Pipeline & ETL Optimization: Develop automated workflows to detect and address data quality issues. You will be one of the "owners" of data readiness, ensuring that Medicaid claims and other administrative data are structured for rapid analysis.
  • Technical Data Governance: Perform code reviews and implement rigorous version control (Git) and documentation standards. You will ensure the reproducibility of results through advanced programming techniques in SQL. 
  • Metric Architecture: Write sophisticated SQL code to calculate quality improvement metrics, equity outcomes, and disparities across physical and behavioral health service delivery.
  • Visualization: Collaborate with stakeholders as needed to translate backend data into front-end visualizations and narratives, bridging the gap between raw data and executive decision-making.

Required Qualifications:

  • SQL Proficiency: Minimum of 2+ years of experience writing advanced SQL (e.g., complex joins, CTEs, window functions, and query optimization) within cloud-based platforms.
  • Data Scale Experience: Proven track record of managing and transforming datasets exceeding one million records.
  • Healthcare Domain Expertise: Deep understanding of health data (Medicaid claims, provider networks, or clinical data) and the specific nuances of healthcare data quality.
  • Engineering Mindset: A passion for writing clean, modular, and reusable code. You should enjoy solving "puzzle-like" data transformation challenges.
  • Reproducibility: Professional experience with Git/GitHub and creating thorough technical documentation.
  • Communication: Ability to explain technical data architecture to non-technical policy experts.

Preferred Qualifications:

  • Education: Bachelor’s degree in Data Science, Computer Science, Health Informatics, or a related quantitative field.
  • R Programming: Ability to create advanced (e.g., nested, higher-order) functions in R. 
  • Visualization: Proficiency in Tableau or other data visualization and dashboard tools. 
  • Social Determinants Knowledge: Experience working with HRSN (Health-Related Social Needs) or Census data.

Application Details

Applicants can apply for the Data Analyst position by visiting our career page https://uhfnyc.org/about/careers/ 

Application deadline for first round consideration is April 10, 2026 

Salary Range: $85,000 – $95,000 

Required Documents:

  • Resume
  • Cover letter
  • SQL Programming sample (Please provide a sample that demonstrates your ability to join and transform complex datasets).
     

Compensation and Benefits: United Hospital Fund offers a competitive salary commensurate with experience combined with generous benefits, including health, dental, voluntary vision, life, and disability insurance; a 403b retirement plan; paid time off; a commuting subsidy; collegial environment. 

United Hospital Fund is an Equal Opportunity Employer committed to cultivating a diverse and inclusive workplace. Applicants receive consideration for employment without regard to race, creed, color, ethnicity, national origin, religion, sex, sexual orientation, gender identity, gender expression, age, physical or mental ability, veteran status, military obligations, citizenship, and marital status. People of color, all faiths and abilities, women, immigrants, veterans, LGBTQIA2S+ people, and those with lived experiences in the communities we serve, are strongly encouraged to apply to join our team.